[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-aaedb2dcbeaee678-void-erases-video-objects-while-rewriting-physics-summary":3,"summaries-facets-categories":162,"summary-related-aaedb2dcbeaee678-void-erases-video-objects-while-rewriting-physics-summary":7090},{"id":4,"title":5,"ai":6,"body":13,"categories":118,"created_at":120,"date_modified":120,"description":111,"extension":121,"faq":120,"featured":122,"kicker_label":120,"meta":123,"navigation":144,"path":145,"published_at":146,"question":120,"scraped_at":147,"seo":148,"sitemap":149,"source_id":150,"source_name":151,"source_type":152,"source_url":153,"stem":154,"tags":155,"thumbnail_url":120,"tldr":159,"tweet":120,"unknown_tags":160,"__hash__":161},"summaries\u002Fsummaries\u002Faaedb2dcbeaee678-void-erases-video-objects-while-rewriting-physics-summary.md","VOID Erases Video Objects While Rewriting Physics",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",6420,2132,20274,0.00232765,{"type":14,"value":15,"toc":110},"minimark",[16,21,25,28,31,34,38,41,44,48,58,81,84,88,95,101,107],[17,18,20],"h2",{"id":19},"voids-two-pass-pipeline-fixes-ghost-interactions","VOID's Two-Pass Pipeline Fixes Ghost Interactions",[22,23,24],"p",{},"Standard video inpainting tools erase objects like watermarks or static people by filling pixels from surroundings, but they ignore physics, leaving artifacts like spinning blenders or falling pins without cause. VOID counters this by reimagining a 'counterfactual reality' where the object never existed.",[22,26,27],{},"First pass: Reasoning. A vision-language model (VLM) paired with SAM 2 (Segment Anything Model 2) tracks the target pixel-perfectly and predicts causal effects—e.g., removing one domino flags affected chain reactions. This generates a 'quad mask' expanding beyond the object to map physics rewrite zones.",[22,29,30],{},"Second pass: Generation and refinement. A video diffusion model inpaints using the quad mask. To prevent morphing or dreaminess, an optional flow warp noise step locks remaining objects' shapes and consistency. Prompts focus on the desired scene without mentioning the removed object, e.g., 'fighter in dark kimono in gym' instead of referencing the erased white-kimono fighter.",[22,32,33],{},"Trade-off: Works best for simple interactions; complex dynamics like fights produce ghost-like remnants because physics simulation can't fully rewrite human behavior.",[17,35,37],{"id":36},"training-on-synthetic-physics-simulations","Training on Synthetic Physics Simulations",[22,39,40],{},"Real-world data lacks 'unhappened' events, so Netflix\u002FInsight trained VOID on synthetic environments like Kubric. Run thousands of physics sims: one with object collision (before\u002Fafter), one without. AI learns object presence → environmental impact mappings. This teaches cause-effect without filming impossibilities like 'uncrashed cars.'",[22,42,43],{},"Outcome: VOID generalizes to real videos, handling interactions better than pixel-fill alone, but requires precise segmentation and prompts for optimal masks.",[17,45,47],{"id":46},"streamlined-setup-with-custom-web-app","Streamlined Setup with Custom Web App",[22,49,50,51,57],{},"Raw GitHub repo (",[52,53,54],"a",{"href":54,"rel":55},"https:\u002F\u002Fgithub.com\u002FNetflix\u002Fvoid-model",[56],"nofollow",") has gaps: undocumented SAM 3 needs, strict 'quad_mask_0.mpp4' naming, no built-in GUI for masking. Fix by deploying on Runpod H100 GPU pod (100GB container, port 8998):",[59,60,61,70,78],"ol",{},[62,63,64,65,69],"li",{},"SSH, clone ",[52,66,67],{"href":67,"rel":68},"https:\u002F\u002Fgithub.com\u002Fandrisgauracs\u002Fnetflix-void-web-app",[56],".",[62,71,72,73,77],{},"Run ",[74,75,76],"code",{},"run.sh"," with Hugging Face token (for models), SAM 3 gated access, Gemini API key (pose estimation).",[62,79,80],{},"Access UI tabs: Segment (prompt + points for SAM 2 mask), Inference (counterfactual prompt), Results (view + optional second-pass refinement).",[22,82,83],{},"This automates workflow: upload video → mask → infer → refine. Speeds testing from hours of CLI debugging to minutes, but demands beefy GPU (H100 recommended) and API approvals.",[17,85,87],{"id":86},"test-results-strengths-in-motion-weak-in-combat","Test Results: Strengths in Motion, Weak in Combat",[22,89,90,94],{},[91,92,93],"strong",{},"Matrix fight (remove Neo):"," Morpheus punches air\u002Fghost; hand inconsistencies persist post-refinement. Fails to make opponent static—can't invent idle behavior.",[22,96,97,100],{},[91,98,99],{},"La La Land dance (remove Emma Stone):"," Near-flawless. Ryan Gosling dances solo seamlessly, even through occlusions; minor artifacts only. Best result—proves strength in rhythmic, predictable motion.",[22,102,103,106],{},[91,104,105],{},"Titanic bow (remove Jack):"," Kate stands alone convincingly, but arm artifacts and morphing face create uncanny valley. User error in segmentation left hand remnants; highlights need precise points.",[22,108,109],{},"Overall: Delivers on physics rewrite for 2\u002F3 tests, but artifacts in occlusion\u002Fcomplexity. Future: Netflix interactive narratives like Bandersnatch, user-driven edits. Use for VFX cleanup, personalized video—test your clips to gauge fit.",{"title":111,"searchDepth":112,"depth":112,"links":113},"",2,[114,115,116,117],{"id":19,"depth":112,"text":20},{"id":36,"depth":112,"text":37},{"id":46,"depth":112,"text":47},{"id":86,"depth":112,"text":87},[119],"AI & LLMs",null,"md",false,{"content_references":124,"triage":139},[125,129,133,135,137],{"type":126,"title":127,"url":54,"context":128},"tool","VOID Model","mentioned",{"type":126,"title":130,"author":131,"url":67,"context":132},"Netflix VOID Web App","andrisgauracs","recommended",{"type":126,"title":134,"context":128},"SAM 2",{"type":126,"title":136,"context":128},"Kubri",{"type":126,"title":138,"context":128},"Runpod",{"relevance":140,"novelty":141,"quality":141,"actionability":112,"composite":142,"reasoning":143},3,4,3.25,"Category: AI & LLMs. The article discusses a novel AI model, VOID, that addresses specific challenges in video inpainting, presenting new insights into its two-pass pipeline. However, while it offers interesting technical details, it lacks actionable steps for implementation, making it less practical for the target audience.",true,"\u002Fsummaries\u002Faaedb2dcbeaee678-void-erases-video-objects-while-rewriting-physics-summary","2026-04-30 00:00:06","2026-05-03 16:47:32",{"title":5,"description":111},{"loc":145},"3079cb563e1445cf","Better Stack","article","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=1yj46x45-QI","summaries\u002Faaedb2dcbeaee678-void-erases-video-objects-while-rewriting-physics-summary",[156,157,158],"ai-tools","machine-learning","automation","Netflix's open-source VOID model uses a two-pass pipeline—reasoning with VLM + SAM 2 for quad masks, then diffusion generation—to remove objects and simulate counterfactual scenes without ghost interactions, excelling in dance but struggling with fights.",[],"l2XwaDAjEp0WHBS3Kq1I7fgGc5D7P8lZUxAnSoZaC5c",[163,165,168,170,173,175,178,181,183,185,187,189,192,194,196,198,200,203,205,207,209,211,214,217,219,221,223,225,227,229,231,233,235,237,239,241,243,245,247,249,251,253,255,257,259,261,263,266,268,270,272,274,276,278,280,282,284,286,288,290,292,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,336,338,340,342,344,346,348,350,352,354,356,358,360,362,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,430,432,434,436,438,440,442,444,446,448,450,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,486,488,490,492,494,496,498,500,502,504,506,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,570,572,574,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,616,618,620,622,624,626,628,630,632,634,636,638,640,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,930,932,934,936,938,941,943,945,947,949,951,953,955,957,959,961,963,965,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088],{"categories":164},[119],{"categories":166},[167],"Developer Productivity",{"categories":169},[119],{"categories":171},[172],"Business & SaaS",{"categories":174},[119],{"categories":176},[177],"AI Automation",{"categories":179},[180],"Product Strategy",{"categories":182},[177],{"categories":184},[119],{"categories":186},[167],{"categories":188},[177],{"categories":190},[191],"Software Engineering",{"categories":193},[119],{"categories":195},[172],{"categories":197},[],{"categories":199},[119],{"categories":201},[202],"Inference & Serving",{"categories":204},[119],{"categories":206},[119],{"categories":208},[177],{"categories":210},[],{"categories":212},[213],"AI News & Trends",{"categories":215},[216],"Data Science & Visualization",{"categories":218},[177],{"categories":220},[119],{"categories":222},[119],{"categories":224},[172],{"categories":226},[167],{"categories":228},[119],{"categories":230},[177],{"categories":232},[213],{"categories":234},[119],{"categories":236},[177],{"categories":238},[177],{"categories":240},[119],{"categories":242},[119],{"categories":244},[177],{"categories":246},[119],{"categories":248},[119],{"categories":250},[119],{"categories":252},[177],{"categories":254},[213],{"categories":256},[119],{"categories":258},[119],{"categories":260},[119],{"categories":262},[],{"categories":264},[265],"Design & Frontend",{"categories":267},[216],{"categories":269},[213],{"categories":271},[119],{"categories":273},[119],{"categories":275},[119],{"categories":277},[],{"categories":279},[119],{"categories":281},[119],{"categories":283},[177],{"categories":285},[191],{"categories":287},[119],{"categories":289},[177],{"categories":291},[119],{"categories":293},[294],"Marketing & Growth",{"categories":296},[265],{"categories":298},[119],{"categories":300},[177],{"categories":302},[119],{"categories":304},[119],{"categories":306},[191],{"categories":308},[119],{"categories":310},[],{"categories":312},[],{"categories":314},[265],{"categories":316},[119],{"categories":318},[177],{"categories":320},[167],{"categories":322},[191],{"categories":324},[177],{"categories":326},[265],{"categories":328},[180],{"categories":330},[119],{"categories":332},[191],{"categories":334},[335],"DevOps & Cloud",{"categories":337},[177],{"categories":339},[180],{"categories":341},[213],{"categories":343},[119],{"categories":345},[],{"categories":347},[119],{"categories":349},[119],{"categories":351},[],{"categories":353},[177],{"categories":355},[191],{"categories":357},[],{"categories":359},[191],{"categories":361},[119],{"categories":363},[364],"Governance & Standards",{"categories":366},[172],{"categories":368},[],{"categories":370},[],{"categories":372},[119],{"categories":374},[119],{"categories":376},[177],{"categories":378},[119],{"categories":380},[119],{"categories":382},[177],{"categories":384},[119],{"categories":386},[119],{"categories":388},[119],{"categories":390},[],{"categories":392},[191],{"categories":394},[],{"categories":396},[],{"categories":398},[119],{"categories":400},[191],{"categories":402},[],{"categories":404},[191],{"categories":406},[119],{"categories":408},[119],{"categories":410},[294],{"categories":412},[119],{"categories":414},[119],{"categories":416},[119],{"categories":418},[265],{"categories":420},[265],{"categories":422},[119],{"categories":424},[191],{"categories":426},[177],{"categories":428},[429],"GovTech & Public-Sector Adoption",{"categories":431},[191],{"categories":433},[119],{"categories":435},[119],{"categories":437},[119],{"categories":439},[177],{"categories":441},[177],{"categories":443},[216],{"categories":445},[119],{"categories":447},[213],{"categories":449},[177],{"categories":451},[452],"Legal AI Tools",{"categories":454},[119],{"categories":456},[177],{"categories":458},[119],{"categories":460},[294],{"categories":462},[177],{"categories":464},[180],{"categories":466},[119],{"categories":468},[191],{"categories":470},[429],{"categories":472},[],{"categories":474},[177],{"categories":476},[],{"categories":478},[172],{"categories":480},[177],{"categories":482},[177],{"categories":484},[485],"RAG & Retrieval",{"categories":487},[172],{"categories":489},[119],{"categories":491},[191],{"categories":493},[191],{"categories":495},[335],{"categories":497},[265],{"categories":499},[177],{"categories":501},[119],{"categories":503},[119],{"categories":505},[],{"categories":507},[508],"Agents & Orchestration",{"categories":510},[191],{"categories":512},[119],{"categories":514},[],{"categories":516},[177],{"categories":518},[172],{"categories":520},[],{"categories":522},[119],{"categories":524},[],{"categories":526},[119],{"categories":528},[167],{"categories":530},[191],{"categories":532},[172],{"categories":534},[119],{"categories":536},[177],{"categories":538},[119],{"categories":540},[119],{"categories":542},[213],{"categories":544},[119],{"categories":546},[],{"categories":548},[119],{"categories":550},[],{"categories":552},[119],{"categories":554},[191],{"categories":556},[119],{"categories":558},[177],{"categories":560},[216],{"categories":562},[],{"categories":564},[119],{"categories":566},[265],{"categories":568},[569],"Models & Frontier Labs",{"categories":571},[],{"categories":573},[265],{"categories":575},[576],"Regulation & Governance of AI",{"categories":578},[180],{"categories":580},[177],{"categories":582},[],{"categories":584},[119],{"categories":586},[119],{"categories":588},[177],{"categories":590},[177],{"categories":592},[213],{"categories":594},[119],{"categories":596},[172],{"categories":598},[119],{"categories":600},[177],{"categories":602},[],{"categories":604},[191],{"categories":606},[177],{"categories":608},[119],{"categories":610},[180],{"categories":612},[119],{"categories":614},[615],"AI Policy & Regulation",{"categories":617},[],{"categories":619},[119],{"categories":621},[177],{"categories":623},[177],{"categories":625},[180],{"categories":627},[177],{"categories":629},[119],{"categories":631},[119],{"categories":633},[119],{"categories":635},[177],{"categories":637},[],{"categories":639},[216],{"categories":641},[642],"Evals & Reliability",{"categories":644},[119],{"categories":646},[119],{"categories":648},[],{"categories":650},[167],{"categories":652},[429],{"categories":654},[615],{"categories":656},[119],{"categories":658},[172],{"categories":660},[119],{"categories":662},[177],{"categories":664},[119],{"categories":666},[177],{"categories":668},[508],{"categories":670},[119],{"categories":672},[191],{"categories":674},[119],{"categories":676},[],{"categories":678},[265],{"categories":680},[],{"categories":682},[119],{"categories":684},[429],{"categories":686},[119],{"categories":688},[119],{"categories":690},[119],{"categories":692},[],{"categories":694},[119],{"categories":696},[265],{"categories":698},[191],{"categories":700},[],{"categories":702},[119],{"categories":704},[],{"categories":706},[177],{"categories":708},[119],{"categories":710},[265],{"categories":712},[],{"categories":714},[119],{"categories":716},[119],{"categories":718},[216],{"categories":720},[177],{"categories":722},[119],{"categories":724},[172],{"categories":726},[177],{"categories":728},[119],{"categories":730},[119],{"categories":732},[191],{"categories":734},[265],{"categories":736},[119],{"categories":738},[177],{"categories":740},[],{"categories":742},[191],{"categories":744},[177],{"categories":746},[216],{"categories":748},[],{"categories":750},[119],{"categories":752},[213],{"categories":754},[119],{"categories":756},[],{"categories":758},[119],{"categories":760},[119],{"categories":762},[119],{"categories":764},[172,294],{"categories":766},[],{"categories":768},[191],{"categories":770},[119],{"categories":772},[119],{"categories":774},[177],{"categories":776},[119],{"categories":778},[],{"categories":780},[],{"categories":782},[119],{"categories":784},[265],{"categories":786},[119],{"categories":788},[],{"categories":790},[119],{"categories":792},[335],{"categories":794},[],{"categories":796},[177],{"categories":798},[213],{"categories":800},[119],{"categories":802},[119],{"categories":804},[265],{"categories":806},[],{"categories":808},[213],{"categories":810},[119],{"categories":812},[202],{"categories":814},[119],{"categories":816},[119],{"categories":818},[177],{"categories":820},[213],{"categories":822},[569],{"categories":824},[119],{"categories":826},[294],{"categories":828},[],{"categories":830},[177],{"categories":832},[172],{"categories":834},[191],{"categories":836},[119],{"categories":838},[177],{"categories":840},[],{"categories":842},[119,335],{"categories":844},[119],{"categories":846},[119],{"categories":848},[119],{"categories":850},[177],{"categories":852},[119,191],{"categories":854},[216],{"categories":856},[119],{"categories":858},[119],{"categories":860},[119],{"categories":862},[191],{"categories":864},[119],{"categories":866},[177],{"categories":868},[177],{"categories":870},[615],{"categories":872},[294],{"categories":874},[119],{"categories":876},[177],{"categories":878},[119],{"categories":880},[119],{"categories":882},[177],{"categories":884},[],{"categories":886},[177],{"categories":888},[119],{"categories":890},[119],{"categories":892},[177],{"categories":894},[119],{"categories":896},[119,172],{"categories":898},[119],{"categories":900},[172],{"categories":902},[],{"categories":904},[265],{"categories":906},[265],{"categories":908},[119],{"categories":910},[],{"categories":912},[],{"categories":914},[119],{"categories":916},[213],{"categories":918},[],{"categories":920},[167],{"categories":922},[119],{"categories":924},[191],{"categories":926},[119],{"categories":928},[929],"Generative UI & Design-to-Code",{"categories":931},[119],{"categories":933},[119],{"categories":935},[265],{"categories":937},[119],{"categories":939},[940],"Algorithmic Accountability",{"categories":942},[177],{"categories":944},[191],{"categories":946},[213],{"categories":948},[265],{"categories":950},[119],{"categories":952},[],{"categories":954},[180],{"categories":956},[119],{"categories":958},[119],{"categories":960},[119],{"categories":962},[119],{"categories":964},[177],{"categories":966},[967],"MLOps & Infrastructure",{"categories":969},[119],{"categories":971},[119],{"categories":973},[119],{"categories":975},[119],{"categories":977},[119],{"categories":979},[191],{"categories":981},[213],{"categories":983},[119],{"categories":985},[180],{"categories":987},[167],{"categories":989},[119],{"categories":991},[177],{"categories":993},[335],{"categories":995},[119],{"categories":997},[172],{"categories":999},[119],{"categories":1001},[265],{"categories":1003},[119],{"categories":1005},[119],{"categories":1007},[177],{"categories":1009},[],{"categories":1011},[],{"categories":1013},[119],{"categories":1015},[202],{"categories":1017},[265],{"categories":1019},[213],{"categories":1021},[216],{"categories":1023},[],{"categories":1025},[119],{"categories":1027},[119],{"categories":1029},[172],{"categories":1031},[177],{"categories":1033},[119],{"categories":1035},[119],{"categories":1037},[119],{"categories":1039},[119],{"categories":1041},[213],{"categories":1043},[202],{"categories":1045},[119],{"categories":1047},[265],{"categories":1049},[119],{"categories":1051},[],{"categories":1053},[177],{"categories":1055},[191],{"categories":1057},[],{"categories":1059},[119],{"categories":1061},[119],{"categories":1063},[177],{"categories":1065},[191],{"categories":1067},[119],{"categories":1069},[216],{"categories":1071},[265],{"categories":1073},[],{"categories":1075},[119],{"categories":1077},[],{"categories":1079},[119],{"categories":1081},[],{"categories":1083},[119],{"categories":1085},[119],{"categories":1087},[180],{"categories":1089},[172],{"categories":1091},[177],{"categories":1093},[177],{"categories":1095},[],{"categories":1097},[119],{"categories":1099},[167],{"categories":1101},[119],{"categories":1103},[119],{"categories":1105},[172],{"categories":1107},[213],{"categories":1109},[167],{"categories":1111},[],{"categories":1113},[119],{"categories":1115},[],{"categories":1117},[119],{"categories":1119},[],{"categories":1121},[213],{"categories":1123},[213],{"categories":1125},[],{"categories":1127},[508],{"categories":1129},[119],{"categories":1131},[265],{"categories":1133},[191],{"categories":1135},[],{"categories":1137},[452],{"categories":1139},[177],{"categories":1141},[172],{"categories":1143},[],{"categories":1145},[],{"categories":1147},[167],{"categories":1149},[216],{"categories":1151},[],{"categories":1153},[294],{"categories":1155},[177],{"categories":1157},[172],{"categories":1159},[177],{"categories":1161},[119],{"categories":1163},[172],{"categories":1165},[119],{"categories":1167},[191],{"categories":1169},[],{"categories":1171},[202],{"categories":1173},[180],{"categories":1175},[119],{"categories":1177},[265],{"categories":1179},[191],{"categories":1181},[172],{"categories":1183},[119],{"categories":1185},[191],{"categories":1187},[119],{"categories":1189},[177],{"categories":1191},[172],{"categories":1193},[119],{"categories":1195},[119],{"categories":1197},[119],{"categories":1199},[119],{"categories":1201},[119],{"categories":1203},[],{"categories":1205},[],{"categories":1207},[191],{"categories":1209},[216],{"categories":1211},[180],{"categories":1213},[119],{"categories":1215},[177],{"categories":1217},[191],{"categories":1219},[191],{"categories":1221},[119],{"categories":1223},[],{"categories":1225},[213],{"categories":1227},[180],{"categories":1229},[180],{"categories":1231},[191],{"categories":1233},[119],{"categories":1235},[642],{"categories":1237},[335],{"categories":1239},[],{"categories":1241},[177],{"categories":1243},[119],{"categories":1245},[],{"categories":1247},[167],{"categories":1249},[],{"categories":1251},[119],{"categories":1253},[119],{"categories":1255},[119],{"categories":1257},[265],{"categories":1259},[294],{"categories":1261},[119],{"categories":1263},[191],{"categories":1265},[119],{"categories":1267},[177],{"categories":1269},[],{"categories":1271},[191],{"categories":1273},[119],{"categories":1275},[167],{"categories":1277},[],{"categories":1279},[172],{"categories":1281},[119],{"categories":1283},[119],{"categories":1285},[213],{"categories":1287},[119,335],{"categories":1289},[119],{"categories":1291},[1292],"Design Systems for AI",{"categories":1294},[119],{"categories":1296},[119],{"categories":1298},[213],{"categories":1300},[119],{"categories":1302},[119],{"categories":1304},[119],{"categories":1306},[172],{"categories":1308},[119],{"categories":1310},[119],{"categories":1312},[119],{"categories":1314},[],{"categories":1316},[119],{"categories":1318},[119],{"categories":1320},[172],{"categories":1322},[119],{"categories":1324},[],{"categories":1326},[177],{"categories":1328},[177],{"categories":1330},[191],{"categories":1332},[213],{"categories":1334},[191],{"categories":1336},[119],{"categories":1338},[265],{"categories":1340},[213],{"categories":1342},[216],{"categories":1344},[119],{"categories":1346},[119],{"categories":1348},[177],{"categories":1350},[167],{"categories":1352},[615],{"categories":1354},[119],{"categories":1356},[177],{"categories":1358},[119],{"categories":1360},[191],{"categories":1362},[191],{"categories":1364},[],{"categories":1366},[],{"categories":1368},[119],{"categories":1370},[177],{"categories":1372},[180],{"categories":1374},[],{"categories":1376},[172],{"categories":1378},[119],{"categories":1380},[],{"categories":1382},[265],{"categories":1384},[191],{"categories":1386},[177],{"categories":1388},[191],{"categories":1390},[265],{"categories":1392},[119],{"categories":1394},[119],{"categories":1396},[265],{"categories":1398},[],{"categories":1400},[],{"categories":1402},[213],{"categories":1404},[177],{"categories":1406},[177],{"categories":1408},[119],{"categories":1410},[119],{"categories":1412},[119],{"categories":1414},[119],{"categories":1416},[172],{"categories":1418},[119],{"categories":1420},[119],{"categories":1422},[],{"categories":1424},[191],{"categories":1426},[191],{"categories":1428},[119],{"categories":1430},[191],{"categories":1432},[172],{"categories":1434},[],{"categories":1436},[119],{"categories":1438},[119],{"categories":1440},[119],{"categories":1442},[119],{"categories":1444},[119],{"categories":1446},[177],{"categories":1448},[167],{"categories":1450},[172],{"categories":1452},[119],{"categories":1454},[177],{"categories":1456},[213],{"categories":1458},[177],{"categories":1460},[202],{"categories":1462},[294],{"categories":1464},[119],{"categories":1466},[177],{"categories":1468},[119],{"categories":1470},[119],{"categories":1472},[119],{"categories":1474},[],{"categories":1476},[265],{"categories":1478},[],{"categories":1480},[119],{"categories":1482},[119],{"categories":1484},[],{"categories":1486},[119],{"categories":1488},[191],{"categories":1490},[172],{"categories":1492},[1493],"Visual & Generative Media",{"categories":1495},[177],{"categories":1497},[],{"categories":1499},[119],{"categories":1501},[119],{"categories":1503},[191],{"categories":1505},[335],{"categories":1507},[119],{"categories":1509},[216],{"categories":1511},[615],{"categories":1513},[191],{"categories":1515},[294],{"categories":1517},[119],{"categories":1519},[265],{"categories":1521},[119],{"categories":1523},[119],{"categories":1525},[191],{"categories":1527},[177],{"categories":1529},[119],{"categories":1531},[],{"categories":1533},[],{"categories":1535},[177],{"categories":1537},[191],{"categories":1539},[167],{"categories":1541},[177],{"categories":1543},[569],{"categories":1545},[119],{"categories":1547},[180],{"categories":1549},[119],{"categories":1551},[172],{"categories":1553},[],{"categories":1555},[119],{"categories":1557},[180],{"categories":1559},[119],{"categories":1561},[119],{"categories":1563},[119],{"categories":1565},[180],{"categories":1567},[119],{"categories":1569},[119],{"categories":1571},[294],{"categories":1573},[119],{"categories":1575},[508],{"categories":1577},[119],{"categories":1579},[177],{"categories":1581},[119],{"categories":1583},[119],{"categories":1585},[177],{"categories":1587},[119],{"categories":1589},[119],{"categories":1591},[265],{"categories":1593},[177],{"categories":1595},[],{"categories":1597},[177],{"categories":1599},[],{"categories":1601},[335],{"categories":1603},[191],{"categories":1605},[],{"categories":1607},[569],{"categories":1609},[119],{"categories":1611},[177],{"categories":1613},[177],{"categories":1615},[119],{"categories":1617},[265,119],{"categories":1619},[167],{"categories":1621},[119],{"categories":1623},[265],{"categories":1625},[],{"categories":1627},[119],{"categories":1629},[167],{"categories":1631},[119],{"categories":1633},[1634],"Medical Imaging & Radiology",{"categories":1636},[119],{"categories":1638},[119],{"categories":1640},[119],{"categories":1642},[265],{"categories":1644},[177],{"categories":1646},[191],{"categories":1648},[],{"categories":1650},[119],{"categories":1652},[119],{"categories":1654},[119],{"categories":1656},[],{"categories":1658},[],{"categories":1660},[119],{"categories":1662},[119],{"categories":1664},[508],{"categories":1666},[119],{"categories":1668},[167],{"categories":1670},[119],{"categories":1672},[119],{"categories":1674},[],{"categories":1676},[177],{"categories":1678},[119],{"categories":1680},[180],{"categories":1682},[191],{"categories":1684},[119],{"categories":1686},[177],{"categories":1688},[508],{"categories":1690},[119],{"categories":1692},[177],{"categories":1694},[119],{"categories":1696},[119],{"categories":1698},[119],{"categories":1700},[265],{"categories":1702},[177],{"categories":1704},[335],{"categories":1706},[265],{"categories":1708},[172],{"categories":1710},[177],{"categories":1712},[213],{"categories":1714},[119],{"categories":1716},[119],{"categories":1718},[180],{"categories":1720},[119],{"categories":1722},[119],{"categories":1724},[119],{"categories":1726},[119],{"categories":1728},[177],{"categories":1730},[119],{"categories":1732},[191],{"categories":1734},[191],{"categories":1736},[119],{"categories":1738},[180],{"categories":1740},[],{"categories":1742},[213],{"categories":1744},[],{"categories":1746},[180],{"categories":1748},[177],{"categories":1750},[119],{"categories":1752},[177],{"categories":1754},[1292],{"categories":1756},[1292],{"categories":1758},[265],{"categories":1760},[119],{"categories":1762},[119],{"categories":1764},[119],{"categories":1766},[177],{"categories":1768},[191],{"categories":1770},[265],{"categories":1772},[177],{"categories":1774},[213],{"categories":1776},[],{"categories":1778},[119],{"categories":1780},[],{"categories":1782},[119],{"categories":1784},[119],{"categories":1786},[119],{"categories":1788},[119],{"categories":1790},[177],{"categories":1792},[1793],"Contract Review & E-Discovery",{"categories":1795},[119],{"categories":1797},[265],{"categories":1799},[119],{"categories":1801},[167],{"categories":1803},[119],{"categories":1805},[213],{"categories":1807},[119],{"categories":1809},[119],{"categories":1811},[294],{"categories":1813},[191],{"categories":1815},[119],{"categories":1817},[119],{"categories":1819},[177],{"categories":1821},[177],{"categories":1823},[940],{"categories":1825},[119],{"categories":1827},[119],{"categories":1829},[177],{"categories":1831},[177],{"categories":1833},[119],{"categories":1835},[119],{"categories":1837},[119],{"categories":1839},[177],{"categories":1841},[119],{"categories":1843},[119],{"categories":1845},[508],{"categories":1847},[485],{"categories":1849},[119],{"categories":1851},[177],{"categories":1853},[119],{"categories":1855},[1856],"Law-Firm Practice & Adoption",{"categories":1858},[119],{"categories":1860},[177],{"categories":1862},[265],{"categories":1864},[119],{"categories":1866},[119],{"categories":1868},[119],{"categories":1870},[],{"categories":1872},[191],{"categories":1874},[],{"categories":1876},[191],{"categories":1878},[119],{"categories":1880},[],{"categories":1882},[177],{"categories":1884},[167],{"categories":1886},[335],{"categories":1888},[119],{"categories":1890},[],{"categories":1892},[167],{"categories":1894},[172],{"categories":1896},[119],{"categories":1898},[294],{"categories":1900},[],{"categories":1902},[172],{"categories":1904},[177],{"categories":1906},[172],{"categories":1908},[],{"categories":1910},[119],{"categories":1912},[180],{"categories":1914},[119],{"categories":1916},[191],{"categories":1918},[],{"categories":1920},[],{"categories":1922},[],{"categories":1924},[],{"categories":1926},[119],{"categories":1928},[180],{"categories":1930},[177],{"categories":1932},[335],{"categories":1934},[119],{"categories":1936},[167],{"categories":1938},[191],{"categories":1940},[119],{"categories":1942},[119],{"categories":1944},[191],{"categories":1946},[180],{"categories":1948},[119],{"categories":1950},[119],{"categories":1952},[119],{"categories":1954},[967],{"categories":1956},[119],{"categories":1958},[191],{"categories":1960},[119],{"categories":1962},[294],{"categories":1964},[191],{"categories":1966},[172],{"categories":1968},[119],{"categories":1970},[119],{"categories":1972},[119],{"categories":1974},[265],{"categories":1976},[119],{"categories":1978},[119],{"categories":1980},[119],{"categories":1982},[119],{"categories":1984},[172],{"categories":1986},[177],{"categories":1988},[119,167],{"categories":1990},[508],{"categories":1992},[119],{"categories":1994},[119],{"categories":1996},[191],{"categories":1998},[191],{"categories":2000},[265],{"categories":2002},[177],{"categories":2004},[177],{"categories":2006},[191],{"categories":2008},[119],{"categories":2010},[119],{"categories":2012},[119],{"categories":2014},[],{"categories":2016},[],{"categories":2018},[119],{"categories":2020},[216],{"categories":2022},[119],{"categories":2024},[265],{"categories":2026},[177],{"categories":2028},[],{"categories":2030},[119],{"categories":2032},[119],{"categories":2034},[191],{"categories":2036},[216],{"categories":2038},[213],{"categories":2040},[265],{"categories":2042},[119],{"categories":2044},[177],{"categories":2046},[119],{"categories":2048},[191],{"categories":2050},[],{"categories":2052},[177],{"categories":2054},[119],{"categories":2056},[119],{"categories":2058},[119],{"categories":2060},[119],{"categories":2062},[],{"categories":2064},[177],{"categories":2066},[119],{"categories":2068},[119],{"categories":2070},[119],{"categories":2072},[],{"categories":2074},[177],{"categories":2076},[119],{"categories":2078},[119],{"categories":2080},[172],{"categories":2082},[119],{"categories":2084},[119],{"categories":2086},[],{"categories":2088},[167],{"categories":2090},[119],{"categories":2092},[119],{"categories":2094},[119],{"categories":2096},[265],{"categories":2098},[119],{"categories":2100},[191],{"categories":2102},[119],{"categories":2104},[167],{"categories":2106},[119],{"categories":2108},[191],{"categories":2110},[294],{"categories":2112},[177],{"categories":2114},[177],{"categories":2116},[119],{"categories":2118},[119],{"categories":2120},[119,265],{"categories":2122},[119],{"categories":2124},[177],{"categories":2126},[213],{"categories":2128},[119],{"categories":2130},[213],{"categories":2132},[177],{"categories":2134},[265],{"categories":2136},[119],{"categories":2138},[],{"categories":2140},[191],{"categories":2142},[335],{"categories":2144},[265],{"categories":2146},[191],{"categories":2148},[119],{"categories":2150},[180],{"categories":2152},[119],{"categories":2154},[119],{"categories":2156},[177],{"categories":2158},[],{"categories":2160},[],{"categories":2162},[119],{"categories":2164},[],{"categories":2166},[],{"categories":2168},[180],{"categories":2170},[191],{"categories":2172},[119],{"categories":2174},[177],{"categories":2176},[177],{"categories":2178},[172],{"categories":2180},[177],{"categories":2182},[335],{"categories":2184},[119],{"categories":2186},[119],{"categories":2188},[119],{"categories":2190},[202],{"categories":2192},[119],{"categories":2194},[119],{"categories":2196},[119],{"categories":2198},[191],{"categories":2200},[177],{"categories":2202},[119],{"categories":2204},[119],{"categories":2206},[191],{"categories":2208},[452],{"categories":2210},[177],{"categories":2212},[940],{"categories":2214},[],{"categories":2216},[265],{"categories":2218},[1856],{"categories":2220},[191],{"categories":2222},[],{"categories":2224},[],{"categories":2226},[119],{"categories":2228},[177],{"categories":2230},[],{"categories":2232},[],{"categories":2234},[119],{"categories":2236},[294],{"categories":2238},[119],{"categories":2240},[294],{"categories":2242},[177],{"categories":2244},[119],{"categories":2246},[119],{"categories":2248},[191],{"categories":2250},[180],{"categories":2252},[],{"categories":2254},[119],{"categories":2256},[119],{"categories":2258},[191],{"categories":2260},[1793],{"categories":2262},[265],{"categories":2264},[265],{"categories":2266},[119],{"categories":2268},[177],{"categories":2270},[167],{"categories":2272},[119],{"categories":2274},[119],{"categories":2276},[119],{"categories":2278},[119],{"categories":2280},[265],{"categories":2282},[265],{"categories":2284},[177],{"categories":2286},[177],{"categories":2288},[177],{"categories":2290},[119],{"categories":2292},[119],{"categories":2294},[],{"categories":2296},[119],{"categories":2298},[],{"categories":2300},[2301],"Interaction & Product Design",{"categories":2303},[119],{"categories":2305},[177],{"categories":2307},[191],{"categories":2309},[364],{"categories":2311},[213],{"categories":2313},[191],{"categories":2315},[119],{"categories":2317},[119],{"categories":2319},[119],{"categories":2321},[191],{"categories":2323},[119],{"categories":2325},[167],{"categories":2327},[177],{"categories":2329},[119],{"categories":2331},[],{"categories":2333},[177],{"categories":2335},[177],{"categories":2337},[177],{"categories":2339},[],{"categories":2341},[191],{"categories":2343},[119],{"categories":2345},[177],{"categories":2347},[167],{"categories":2349},[2301],{"categories":2351},[119],{"categories":2353},[167],{"categories":2355},[167],{"categories":2357},[],{"categories":2359},[177],{"categories":2361},[191],{"categories":2363},[],{"categories":2365},[177],{"categories":2367},[213],{"categories":2369},[119],{"categories":2371},[177],{"categories":2373},[119],{"categories":2375},[177],{"categories":2377},[177],{"categories":2379},[119],{"categories":2381},[119],{"categories":2383},[213],{"categories":2385},[216],{"categories":2387},[119],{"categories":2389},[180],{"categories":2391},[191],{"categories":2393},[2394],"Coding Agents & Dev Productivity",{"categories":2396},[213],{"categories":2398},[265],{"categories":2400},[119],{"categories":2402},[119],{"categories":2404},[],{"categories":2406},[119],{"categories":2408},[940],{"categories":2410},[],{"categories":2412},[119],{"categories":2414},[119],{"categories":2416},[335],{"categories":2418},[119],{"categories":2420},[213],{"categories":2422},[],{"categories":2424},[],{"categories":2426},[119],{"categories":2428},[],{"categories":2430},[177],{"categories":2432},[119],{"categories":2434},[],{"categories":2436},[191],{"categories":2438},[191],{"categories":2440},[119],{"categories":2442},[216],{"categories":2444},[],{"categories":2446},[119],{"categories":2448},[119],{"categories":2450},[119],{"categories":2452},[216],{"categories":2454},[191],{"categories":2456},[177],{"categories":2458},[],{"categories":2460},[],{"categories":2462},[119],{"categories":2464},[119],{"categories":2466},[177],{"categories":2468},[177],{"categories":2470},[429],{"categories":2472},[191],{"categories":2474},[180],{"categories":2476},[191],{"categories":2478},[177],{"categories":2480},[213],{"categories":2482},[213],{"categories":2484},[177],{"categories":2486},[177],{"categories":2488},[119],{"categories":2490},[167],{"categories":2492},[2301],{"categories":2494},[180],{"categories":2496},[119,335],{"categories":2498},[216],{"categories":2500},[],{"categories":2502},[265],{"categories":2504},[177],{"categories":2506},[191],{"categories":2508},[167],{"categories":2510},[119],{"categories":2512},[177],{"categories":2514},[2515],"The Designer's Role & Craft",{"categories":2517},[265],{"categories":2519},[],{"categories":2521},[177],{"categories":2523},[119],{"categories":2525},[177],{"categories":2527},[177],{"categories":2529},[119],{"categories":2531},[294],{"categories":2533},[119],{"categories":2535},[191],{"categories":2537},[119],{"categories":2539},[265],{"categories":2541},[119],{"categories":2543},[],{"categories":2545},[177],{"categories":2547},[265],{"categories":2549},[180],{"categories":2551},[119],{"categories":2553},[119],{"categories":2555},[119],{"categories":2557},[2558],"AI UX Patterns",{"categories":2560},[177],{"categories":2562},[177],{"categories":2564},[177],{"categories":2566},[177],{"categories":2568},[294],{"categories":2570},[216],{"categories":2572},[119],{"categories":2574},[177],{"categories":2576},[119],{"categories":2578},[1292],{"categories":2580},[],{"categories":2582},[294],{"categories":2584},[177],{"categories":2586},[213],{"categories":2588},[191],{"categories":2590},[119],{"categories":2592},[177],{"categories":2594},[],{"categories":2596},[],{"categories":2598},[119],{"categories":2600},[119],{"categories":2602},[177],{"categories":2604},[119],{"categories":2606},[177],{"categories":2608},[429],{"categories":2610},[265],{"categories":2612},[119],{"categories":2614},[213],{"categories":2616},[191],{"categories":2618},[119],{"categories":2620},[177],{"categories":2622},[177],{"categories":2624},[],{"categories":2626},[119],{"categories":2628},[],{"categories":2630},[119],{"categories":2632},[],{"categories":2634},[119],{"categories":2636},[119],{"categories":2638},[119],{"categories":2640},[177],{"categories":2642},[191],{"categories":2644},[],{"categories":2646},[],{"categories":2648},[216],{"categories":2650},[202],{"categories":2652},[119],{"categories":2654},[119],{"categories":2656},[119],{"categories":2658},[216],{"categories":2660},[119],{"categories":2662},[119],{"categories":2664},[213],{"categories":2666},[119],{"categories":2668},[119],{"categories":2670},[119],{"categories":2672},[177],{"categories":2674},[119],{"categories":2676},[177],{"categories":2678},[119],{"categories":2680},[119],{"categories":2682},[119],{"categories":2684},[177],{"categories":2686},[],{"categories":2688},[119],{"categories":2690},[],{"categories":2692},[119],{"categories":2694},[119],{"categories":2696},[335],{"categories":2698},[119],{"categories":2700},[],{"categories":2702},[],{"categories":2704},[265],{"categories":2706},[967],{"categories":2708},[177],{"categories":2710},[167],{"categories":2712},[2515],{"categories":2714},[],{"categories":2716},[],{"categories":2718},[119],{"categories":2720},[],{"categories":2722},[],{"categories":2724},[191],{"categories":2726},[213],{"categories":2728},[294],{"categories":2730},[177],{"categories":2732},[172],{"categories":2734},[119],{"categories":2736},[119],{"categories":2738},[172],{"categories":2740},[],{"categories":2742},[265],{"categories":2744},[180],{"categories":2746},[119],{"categories":2748},[119],{"categories":2750},[177],{"categories":2752},[172],{"categories":2754},[119],{"categories":2756},[119],{"categories":2758},[167],{"categories":2760},[119],{"categories":2762},[119],{"categories":2764},[],{"categories":2766},[167],{"categories":2768},[119],{"categories":2770},[294],{"categories":2772},[177],{"categories":2774},[213],{"categories":2776},[119],{"categories":2778},[191],{"categories":2780},[119],{"categories":2782},[119],{"categories":2784},[172],{"categories":2786},[119],{"categories":2788},[119],{"categories":2790},[119],{"categories":2792},[177],{"categories":2794},[119],{"categories":2796},[],{"categories":2798},[119],{"categories":2800},[191],{"categories":2802},[167],{"categories":2804},[119],{"categories":2806},[119],{"categories":2808},[119],{"categories":2810},[],{"categories":2812},[119],{"categories":2814},[508],{"categories":2816},[177],{"categories":2818},[172],{"categories":2820},[213],{"categories":2822},[119],{"categories":2824},[119],{"categories":2826},[],{"categories":2828},[172],{"categories":2830},[172],{"categories":2832},[119],{"categories":2834},[119],{"categories":2836},[180],{"categories":2838},[119],{"categories":2840},[119],{"categories":2842},[119],{"categories":2844},[119],{"categories":2846},[191],{"categories":2848},[191],{"categories":2850},[119],{"categories":2852},[],{"categories":2854},[191],{"categories":2856},[119],{"categories":2858},[191],{"categories":2860},[177],{"categories":2862},[615],{"categories":2864},[],{"categories":2866},[],{"categories":2868},[119],{"categories":2870},[213],{"categories":2872},[],{"categories":2874},[335],{"categories":2876},[119],{"categories":2878},[119],{"categories":2880},[119],{"categories":2882},[265],{"categories":2884},[929],{"categories":2886},[],{"categories":2888},[119],{"categories":2890},[119],{"categories":2892},[119],{"categories":2894},[191],{"categories":2896},[119],{"categories":2898},[119],{"categories":2900},[119,335],{"categories":2902},[119],{"categories":2904},[119],{"categories":2906},[265],{"categories":2908},[177],{"categories":2910},[],{"categories":2912},[177],{"categories":2914},[177],{"categories":2916},[119],{"categories":2918},[119],{"categories":2920},[119],{"categories":2922},[119],{"categories":2924},[216],{"categories":2926},[119],{"categories":2928},[2558],{"categories":2930},[167],{"categories":2932},[216],{"categories":2934},[167],{"categories":2936},[191],{"categories":2938},[265],{"categories":2940},[177],{"categories":2942},[119],{"categories":2944},[],{"categories":2946},[172],{"categories":2948},[119],{"categories":2950},[119],{"categories":2952},[213],{"categories":2954},[119],{"categories":2956},[119],{"categories":2958},[119],{"categories":2960},[177],{"categories":2962},[119],{"categories":2964},[119],{"categories":2966},[119],{"categories":2968},[172],{"categories":2970},[],{"categories":2972},[335],{"categories":2974},[119],{"categories":2976},[429],{"categories":2978},[265],{"categories":2980},[265],{"categories":2982},[191],{"categories":2984},[177],{"categories":2986},[119],{"categories":2988},[172],{"categories":2990},[213],{"categories":2992},[119],{"categories":2994},[119],{"categories":2996},[119],{"categories":2998},[265],{"categories":3000},[177],{"categories":3002},[177],{"categories":3004},[119],{"categories":3006},[119],{"categories":3008},[569],{"categories":3010},[177],{"categories":3012},[],{"categories":3014},[119],{"categories":3016},[119],{"categories":3018},[119],{"categories":3020},[],{"categories":3022},[],{"categories":3024},[119],{"categories":3026},[119],{"categories":3028},[177],{"categories":3030},[119],{"categories":3032},[119],{"categories":3034},[119],{"categories":3036},[191],{"categories":3038},[119],{"categories":3040},[119],{"categories":3042},[177],{"categories":3044},[119],{"categories":3046},[119],{"categories":3048},[119],{"categories":3050},[119],{"categories":3052},[119],{"categories":3054},[],{"categories":3056},[191],{"categories":3058},[216],{"categories":3060},[119],{"categories":3062},[177],{"categories":3064},[177],{"categories":3066},[119],{"categories":3068},[119],{"categories":3070},[],{"categories":3072},[],{"categories":3074},[119],{"categories":3076},[119],{"categories":3078},[119],{"categories":3080},[213],{"categories":3082},[216],{"categories":3084},[],{"categories":3086},[119],{"categories":3088},[265],{"categories":3090},[119],{"categories":3092},[335],{"categories":3094},[1856],{"categories":3096},[213],{"categories":3098},[191],{"categories":3100},[119],{"categories":3102},[191],{"categories":3104},[191],{"categories":3106},[119],{"categories":3108},[119],{"categories":3110},[191],{"categories":3112},[213],{"categories":3114},[213],{"categories":3116},[335],{"categories":3118},[177],{"categories":3120},[],{"categories":3122},[213],{"categories":3124},[119],{"categories":3126},[177],{"categories":3128},[167],{"categories":3130},[191],{"categories":3132},[119],{"categories":3134},[213],{"categories":3136},[],{"categories":3138},[119],{"categories":3140},[191],{"categories":3142},[191],{"categories":3144},[216],{"categories":3146},[119],{"categories":3148},[213],{"categories":3150},[119],{"categories":3152},[191],{"categories":3154},[177],{"categories":3156},[177],{"categories":3158},[213],{"categories":3160},[177],{"categories":3162},[335],{"categories":3164},[177],{"categories":3166},[119],{"categories":3168},[119],{"categories":3170},[119],{"categories":3172},[119],{"categories":3174},[191],{"categories":3176},[119],{"categories":3178},[],{"categories":3180},[177],{"categories":3182},[172],{"categories":3184},[191],{"categories":3186},[],{"categories":3188},[],{"categories":3190},[119],{"categories":3192},[177],{"categories":3194},[119],{"categories":3196},[119],{"categories":3198},[3199],"Frameworks & Tooling",{"categories":3201},[119],{"categories":3203},[119],{"categories":3205},[191],{"categories":3207},[119],{"categories":3209},[119],{"categories":3211},[],{"categories":3213},[216],{"categories":3215},[216],{"categories":3217},[167],{"categories":3219},[119],{"categories":3221},[177],{"categories":3223},[119],{"categories":3225},[265],{"categories":3227},[],{"categories":3229},[1856],{"categories":3231},[119],{"categories":3233},[191],{"categories":3235},[119],{"categories":3237},[335],{"categories":3239},[335],{"categories":3241},[],{"categories":3243},[177],{"categories":3245},[177],{"categories":3247},[119],{"categories":3249},[119],{"categories":3251},[213],{"categories":3253},[177],{"categories":3255},[213],{"categories":3257},[119],{"categories":3259},[177],{"categories":3261},[],{"categories":3263},[265],{"categories":3265},[119],{"categories":3267},[119],{"categories":3269},[],{"categories":3271},[119],{"categories":3273},[177],{"categories":3275},[119],{"categories":3277},[119],{"categories":3279},[119],{"categories":3281},[],{"categories":3283},[172],{"categories":3285},[191],{"categories":3287},[119],{"categories":3289},[191],{"categories":3291},[335],{"categories":3293},[119],{"categories":3295},[119],{"categories":3297},[119],{"categories":3299},[191],{"categories":3301},[172],{"categories":3303},[119],{"categories":3305},[1856],{"categories":3307},[],{"categories":3309},[177],{"categories":3311},[167],{"categories":3313},[119],{"categories":3315},[167],{"categories":3317},[119],{"categories":3319},[],{"categories":3321},[177],{"categories":3323},[119],{"categories":3325},[119],{"categories":3327},[3328],"AI Design Tooling",{"categories":3330},[265],{"categories":3332},[119],{"categories":3334},[119],{"categories":3336},[191],{"categories":3338},[265],{"categories":3340},[119],{"categories":3342},[119],{"categories":3344},[191],{"categories":3346},[213],{"categories":3348},[180],{"categories":3350},[191],{"categories":3352},[119],{"categories":3354},[119],{"categories":3356},[119],{"categories":3358},[177],{"categories":3360},[119],{"categories":3362},[],{"categories":3364},[177],{"categories":3366},[119],{"categories":3368},[119],{"categories":3370},[177],{"categories":3372},[119],{"categories":3374},[119],{"categories":3376},[119],{"categories":3378},[177],{"categories":3380},[],{"categories":3382},[177],{"categories":3384},[3199],{"categories":3386},[119],{"categories":3388},[119],{"categories":3390},[177],{"categories":3392},[177],{"categories":3394},[191],{"categories":3396},[191],{"categories":3398},[119],{"categories":3400},[],{"categories":3402},[191],{"categories":3404},[119],{"categories":3406},[119],{"categories":3408},[177],{"categories":3410},[172],{"categories":3412},[119],{"categories":3414},[],{"categories":3416},[119],{"categories":3418},[119],{"categories":3420},[2301],{"categories":3422},[],{"categories":3424},[119],{"categories":3426},[119],{"categories":3428},[119],{"categories":3430},[119],{"categories":3432},[265],{"categories":3434},[119],{"categories":3436},[],{"categories":3438},[119],{"categories":3440},[119],{"categories":3442},[119],{"categories":3444},[119],{"categories":3446},[294],{"categories":3448},[213],{"categories":3450},[119],{"categories":3452},[119],{"categories":3454},[1856],{"categories":3456},[167],{"categories":3458},[119],{"categories":3460},[119],{"categories":3462},[216],{"categories":3464},[119],{"categories":3466},[119],{"categories":3468},[213],{"categories":3470},[177],{"categories":3472},[],{"categories":3474},[119],{"categories":3476},[119],{"categories":3478},[265],{"categories":3480},[119],{"categories":3482},[294],{"categories":3484},[177],{"categories":3486},[119],{"categories":3488},[177],{"categories":3490},[],{"categories":3492},[],{"categories":3494},[],{"categories":3496},[167],{"categories":3498},[213],{"categories":3500},[177],{"categories":3502},[119],{"categories":3504},[119],{"categories":3506},[119],{"categories":3508},[119],{"categories":3510},[452],{"categories":3512},[265],{"categories":3514},[177],{"categories":3516},[119],{"categories":3518},[],{"categories":3520},[177],{"categories":3522},[177],{"categories":3524},[],{"categories":3526},[119],{"categories":3528},[177],{"categories":3530},[119],{"categories":3532},[],{"categories":3534},[119],{"categories":3536},[119],{"categories":3538},[119],{"categories":3540},[213],{"categories":3542},[265],{"categories":3544},[177],{"categories":3546},[265],{"categories":3548},[177],{"categories":3550},[119],{"categories":3552},[172],{"categories":3554},[],{"categories":3556},[],{"categories":3558},[119],{"categories":3560},[119],{"categories":3562},[119],{"categories":3564},[167],{"categories":3566},[177],{"categories":3568},[213],{"categories":3570},[],{"categories":3572},[265],{"categories":3574},[],{"categories":3576},[191],{"categories":3578},[119],{"categories":3580},[191],{"categories":3582},[265],{"categories":3584},[191],{"categories":3586},[119],{"categories":3588},[],{"categories":3590},[119],{"categories":3592},[119],{"categories":3594},[],{"categories":3596},[119],{"categories":3598},[119],{"categories":3600},[294],{"categories":3602},[119],{"categories":3604},[119],{"categories":3606},[335],{"categories":3608},[191],{"categories":3610},[119],{"categories":3612},[],{"categories":3614},[177],{"categories":3616},[119],{"categories":3618},[167],{"categories":3620},[569],{"categories":3622},[119],{"categories":3624},[119],{"categories":3626},[177],{"categories":3628},[119],{"categories":3630},[177],{"categories":3632},[119],{"categories":3634},[119],{"categories":3636},[119],{"categories":3638},[119],{"categories":3640},[],{"categories":3642},[119],{"categories":3644},[167],{"categories":3646},[119],{"categories":3648},[172],{"categories":3650},[191],{"categories":3652},[265],{"categories":3654},[],{"categories":3656},[119],{"categories":3658},[],{"categories":3660},[177],{"categories":3662},[119],{"categories":3664},[],{"categories":3666},[177],{"categories":3668},[119],{"categories":3670},[191],{"categories":3672},[265],{"categories":3674},[213],{"categories":3676},[119],{"categories":3678},[213],{"categories":3680},[177],{"categories":3682},[265],{"categories":3684},[119],{"categories":3686},[],{"categories":3688},[119],{"categories":3690},[202],{"categories":3692},[177],{"categories":3694},[119],{"categories":3696},[265],{"categories":3698},[213],{"categories":3700},[172],{"categories":3702},[191],{"categories":3704},[119],{"categories":3706},[119],{"categories":3708},[119],{"categories":3710},[119],{"categories":3712},[213],{"categories":3714},[294],{"categories":3716},[],{"categories":3718},[],{"categories":3720},[216],{"categories":3722},[508],{"categories":3724},[119],{"categories":3726},[177],{"categories":3728},[119,191],{"categories":3730},[213],{"categories":3732},[119],{"categories":3734},[119],{"categories":3736},[119],{"categories":3738},[119],{"categories":3740},[119],{"categories":3742},[119],{"categories":3744},[119],{"categories":3746},[177],{"categories":3748},[119],{"categories":3750},[177],{"categories":3752},[119],{"categories":3754},[119],{"categories":3756},[119],{"categories":3758},[],{"categories":3760},[119],{"categories":3762},[1292],{"categories":3764},[191],{"categories":3766},[265],{"categories":3768},[119],{"categories":3770},[119],{"categories":3772},[119],{"categories":3774},[216],{"categories":3776},[177],{"categories":3778},[294],{"categories":3780},[335],{"categories":3782},[],{"categories":3784},[191],{"categories":3786},[119],{"categories":3788},[172],{"categories":3790},[177],{"categories":3792},[167],{"categories":3794},[177],{"categories":3796},[119],{"categories":3798},[177],{"categories":3800},[177],{"categories":3802},[180],{"categories":3804},[191],{"categories":3806},[119],{"categories":3808},[119],{"categories":3810},[],{"categories":3812},[],{"categories":3814},[],{"categories":3816},[335],{"categories":3818},[119],{"categories":3820},[213],{"categories":3822},[119],{"categories":3824},[119],{"categories":3826},[119],{"categories":3828},[119],{"categories":3830},[],{"categories":3832},[119],{"categories":3834},[216],{"categories":3836},[172],{"categories":3838},[177],{"categories":3840},[119],{"categories":3842},[],{"categories":3844},[119],{"categories":3846},[177],{"categories":3848},[191],{"categories":3850},[119],{"categories":3852},[335],{"categories":3854},[],{"categories":3856},[265],{"categories":3858},[265],{"categories":3860},[119],{"categories":3862},[177],{"categories":3864},[],{"categories":3866},[191],{"categories":3868},[119],{"categories":3870},[265],{"categories":3872},[119],{"categories":3874},[172],{"categories":3876},[177],{"categories":3878},[119],{"categories":3880},[],{"categories":3882},[213],{"categories":3884},[119],{"categories":3886},[119],{"categories":3888},[119],{"categories":3890},[265],{"categories":3892},[177],{"categories":3894},[213],{"categories":3896},[],{"categories":3898},[177],{"categories":3900},[172],{"categories":3902},[177],{"categories":3904},[265],{"categories":3906},[119],{"categories":3908},[119],{"categories":3910},[119],{"categories":3912},[508],{"categories":3914},[119],{"categories":3916},[177],{"categories":3918},[],{"categories":3920},[119],{"categories":3922},[119],{"categories":3924},[335],{"categories":3926},[213],{"categories":3928},[216],{"categories":3930},[615],{"categories":3932},[216],{"categories":3934},[216],{"categories":3936},[119],{"categories":3938},[],{"categories":3940},[],{"categories":3942},[],{"categories":3944},[177],{"categories":3946},[119],{"categories":3948},[177],{"categories":3950},[177],{"categories":3952},[191],{"categories":3954},[119],{"categories":3956},[485],{"categories":3958},[191],{"categories":3960},[177],{"categories":3962},[119],{"categories":3964},[119],{"categories":3966},[119],{"categories":3968},[119],{"categories":3970},[119],{"categories":3972},[177],{"categories":3974},[119],{"categories":3976},[],{"categories":3978},[],{"categories":3980},[119],{"categories":3982},[],{"categories":3984},[119],{"categories":3986},[177],{"categories":3988},[265],{"categories":3990},[119],{"categories":3992},[119],{"categories":3994},[],{"categories":3996},[177],{"categories":3998},[119],{"categories":4000},[119],{"categories":4002},[180],{"categories":4004},[119],{"categories":4006},[265],{"categories":4008},[119],{"categories":4010},[177],{"categories":4012},[172],{"categories":4014},[119],{"categories":4016},[119],{"categories":4018},[294],{"categories":4020},[177],{"categories":4022},[119],{"categories":4024},[119],{"categories":4026},[929],{"categories":4028},[119],{"categories":4030},[177],{"categories":4032},[119],{"categories":4034},[191],{"categories":4036},[119],{"categories":4038},[569],{"categories":4040},[265],{"categories":4042},[],{"categories":4044},[119],{"categories":4046},[119],{"categories":4048},[213],{"categories":4050},[508],{"categories":4052},[177],{"categories":4054},[119],{"categories":4056},[],{"categories":4058},[213],{"categories":4060},[429],{"categories":4062},[177],{"categories":4064},[177],{"categories":4066},[177],{"categories":4068},[119],{"categories":4070},[119],{"categories":4072},[177],{"categories":4074},[],{"categories":4076},[172],{"categories":4078},[119],{"categories":4080},[172],{"categories":4082},[177],{"categories":4084},[],{"categories":4086},[191],{"categories":4088},[119],{"categories":4090},[119],{"categories":4092},[167],{"categories":4094},[119],{"categories":4096},[213],{"categories":4098},[335],{"categories":4100},[202],{"categories":4102},[177],{"categories":4104},[177],{"categories":4106},[119],{"categories":4108},[119],{"categories":4110},[177],{"categories":4112},[119],{"categories":4114},[167],{"categories":4116},[],{"categories":4118},[177],{"categories":4120},[119],{"categories":4122},[119],{"categories":4124},[119],{"categories":4126},[177],{"categories":4128},[119],{"categories":4130},[],{"categories":4132},[119],{"categories":4134},[],{"categories":4136},[265],{"categories":4138},[177],{"categories":4140},[119,172],{"categories":4142},[177],{"categories":4144},[119],{"categories":4146},[],{"categories":4148},[167],{"categories":4150},[216],{"categories":4152},[172],{"categories":4154},[119],{"categories":4156},[191],{"categories":4158},[119],{"categories":4160},[119],{"categories":4162},[177],{"categories":4164},[119],{"categories":4166},[119],{"categories":4168},[119],{"categories":4170},[213],{"categories":4172},[1292],{"categories":4174},[177],{"categories":4176},[119],{"categories":4178},[],{"categories":4180},[],{"categories":4182},[119],{"categories":4184},[177],{"categories":4186},[119],{"categories":4188},[119],{"categories":4190},[335],{"categories":4192},[],{"categories":4194},[119],{"categories":4196},[177],{"categories":4198},[202],{"categories":4200},[177],{"categories":4202},[508],{"categories":4204},[],{"categories":4206},[452],{"categories":4208},[177],{"categories":4210},[119],{"categories":4212},[119],{"categories":4214},[294],{"categories":4216},[177],{"categories":4218},[119],{"categories":4220},[216],{"categories":4222},[180],{"categories":4224},[177],{"categories":4226},[119],{"categories":4228},[508],{"categories":4230},[119],{"categories":4232},[335],{"categories":4234},[172],{"categories":4236},[],{"categories":4238},[119],{"categories":4240},[119],{"categories":4242},[294],{"categories":4244},[265],{"categories":4246},[119],{"categories":4248},[119],{"categories":4250},[119],{"categories":4252},[],{"categories":4254},[294],{"categories":4256},[213],{"categories":4258},[119],{"categories":4260},[119],{"categories":4262},[119],{"categories":4264},[615],{"categories":4266},[167],{"categories":4268},[119],{"categories":4270},[180],{"categories":4272},[119],{"categories":4274},[],{"categories":4276},[],{"categories":4278},[265],{"categories":4280},[119],{"categories":4282},[216],{"categories":4284},[294],{"categories":4286},[177],{"categories":4288},[119],{"categories":4290},[119],{"categories":4292},[294],{"categories":4294},[213],{"categories":4296},[119],{"categories":4298},[],{"categories":4300},[119],{"categories":4302},[119],{"categories":4304},[],{"categories":4306},[119],{"categories":4308},[119],{"categories":4310},[642],{"categories":4312},[119],{"categories":4314},[119],{"categories":4316},[177],{"categories":4318},[191],{"categories":4320},[508],{"categories":4322},[119],{"categories":4324},[119],{"categories":4326},[119],{"categories":4328},[],{"categories":4330},[119,191],{"categories":4332},[213],{"categories":4334},[177],{"categories":4336},[191],{"categories":4338},[177],{"categories":4340},[967],{"categories":4342},[191],{"categories":4344},[191],{"categories":4346},[177],{"categories":4348},[119],{"categories":4350},[167],{"categories":4352},[],{"categories":4354},[],{"categories":4356},[177],{"categories":4358},[119],{"categories":4360},[191],{"categories":4362},[119],{"categories":4364},[167],{"categories":4366},[191],{"categories":4368},[191],{"categories":4370},[119],{"categories":4372},[294],{"categories":4374},[119],{"categories":4376},[191],{"categories":4378},[119],{"categories":4380},[],{"categories":4382},[119],{"categories":4384},[119],{"categories":4386},[265,119],{"categories":4388},[335],{"categories":4390},[167],{"categories":4392},[119],{"categories":4394},[],{"categories":4396},[119],{"categories":4398},[119],{"categories":4400},[172],{"categories":4402},[119],{"categories":4404},[172],{"categories":4406},[119],{"categories":4408},[119],{"categories":4410},[429],{"categories":4412},[119],{"categories":4414},[172],{"categories":4416},[191],{"categories":4418},[216],{"categories":4420},[177],{"categories":4422},[119],{"categories":4424},[191],{"categories":4426},[119],{"categories":4428},[119],{"categories":4430},[213],{"categories":4432},[294],{"categories":4434},[265],{"categories":4436},[119],{"categories":4438},[119],{"categories":4440},[119],{"categories":4442},[119],{"categories":4444},[167],{"categories":4446},[119],{"categories":4448},[177],{"categories":4450},[177],{"categories":4452},[191],{"categories":4454},[213],{"categories":4456},[191],{"categories":4458},[191],{"categories":4460},[119],{"categories":4462},[119],{"categories":4464},[],{"categories":4466},[],{"categories":4468},[216],{"categories":4470},[119],{"categories":4472},[191],{"categories":4474},[119],{"categories":4476},[265],{"categories":4478},[508],{"categories":4480},[452],{"categories":4482},[429],{"categories":4484},[119],{"categories":4486},[119],{"categories":4488},[119],{"categories":4490},[216],{"categories":4492},[119],{"categories":4494},[119],{"categories":4496},[119],{"categories":4498},[119],{"categories":4500},[119],{"categories":4502},[119],{"categories":4504},[119],{"categories":4506},[177],{"categories":4508},[167],{"categories":4510},[177],{"categories":4512},[119,172],{"categories":4514},[],{"categories":4516},[265],{"categories":4518},[],{"categories":4520},[180],{"categories":4522},[119],{"categories":4524},[213],{"categories":4526},[167],{"categories":4528},[119],{"categories":4530},[167],{"categories":4532},[177],{"categories":4534},[216],{"categories":4536},[177],{"categories":4538},[180],{"categories":4540},[177],{"categories":4542},[119],{"categories":4544},[119],{"categories":4546},[119],{"categories":4548},[172],{"categories":4550},[177],{"categories":4552},[191],{"categories":4554},[294],{"categories":4556},[119],{"categories":4558},[119],{"categories":4560},[],{"categories":4562},[213],{"categories":4564},[119],{"categories":4566},[119],{"categories":4568},[119],{"categories":4570},[119],{"categories":4572},[119],{"categories":4574},[119],{"categories":4576},[191],{"categories":4578},[213],{"categories":4580},[191],{"categories":4582},[191],{"categories":4584},[119],{"categories":4586},[119],{"categories":4588},[119],{"categories":4590},[119],{"categories":4592},[452],{"categories":4594},[119],{"categories":4596},[177],{"categories":4598},[177],{"categories":4600},[213],{"categories":4602},[119],{"categories":4604},[119],{"categories":4606},[119],{"categories":4608},[177],{"categories":4610},[119],{"categories":4612},[119],{"categories":4614},[119],{"categories":4616},[3199],{"categories":4618},[4619],"Clinical AI",{"categories":4621},[265],{"categories":4623},[119],{"categories":4625},[119],{"categories":4627},[119],{"categories":4629},[119],{"categories":4631},[335],{"categories":4633},[2558],{"categories":4635},[119],{"categories":4637},[180],{"categories":4639},[265],{"categories":4641},[119],{"categories":4643},[177],{"categories":4645},[119],{"categories":4647},[119],{"categories":4649},[213],{"categories":4651},[119],{"categories":4653},[177],{"categories":4655},[191],{"categories":4657},[294],{"categories":4659},[119],{"categories":4661},[119],{"categories":4663},[172],{"categories":4665},[119],{"categories":4667},[119],{"categories":4669},[569],{"categories":4671},[119],{"categories":4673},[],{"categories":4675},[177],{"categories":4677},[119],{"categories":4679},[191],{"categories":4681},[167],{"categories":4683},[119],{"categories":4685},[],{"categories":4687},[],{"categories":4689},[119],{"categories":4691},[],{"categories":4693},[172],{"categories":4695},[119],{"categories":4697},[119],{"categories":4699},[177],{"categories":4701},[119],{"categories":4703},[213],{"categories":4705},[213],{"categories":4707},[213],{"categories":4709},[213],{"categories":4711},[],{"categories":4713},[167],{"categories":4715},[177],{"categories":4717},[213],{"categories":4719},[119],{"categories":4721},[642],{"categories":4723},[180],{"categories":4725},[177],{"categories":4727},[119],{"categories":4729},[167],{"categories":4731},[119],{"categories":4733},[177],{"categories":4735},[119],{"categories":4737},[119],{"categories":4739},[119],{"categories":4741},[119,177],{"categories":4743},[177],{"categories":4745},[335],{"categories":4747},[213],{"categories":4749},[177],{"categories":4751},[213],{"categories":4753},[177],{"categories":4755},[119],{"categories":4757},[],{"categories":4759},[213],{"categories":4761},[294],{"categories":4763},[167],{"categories":4765},[119],{"categories":4767},[119],{"categories":4769},[],{"categories":4771},[191],{"categories":4773},[],{"categories":4775},[167],{"categories":4777},[177],{"categories":4779},[213],{"categories":4781},[119],{"categories":4783},[213],{"categories":4785},[167],{"categories":4787},[213],{"categories":4789},[213],{"categories":4791},[],{"categories":4793},[172],{"categories":4795},[177],{"categories":4797},[213],{"categories":4799},[213],{"categories":4801},[213],{"categories":4803},[213],{"categories":4805},[213],{"categories":4807},[213],{"categories":4809},[213],{"categories":4811},[213],{"categories":4813},[213],{"categories":4815},[213],{"categories":4817},[216],{"categories":4819},[167],{"categories":4821},[119],{"categories":4823},[119],{"categories":4825},[177],{"categories":4827},[177],{"categories":4829},[],{"categories":4831},[119],{"categories":4833},[119,167],{"categories":4835},[],{"categories":4837},[177],{"categories":4839},[119],{"categories":4841},[213],{"categories":4843},[177],{"categories":4845},[967],{"categories":4847},[119],{"categories":4849},[119],{"categories":4851},[119],{"categories":4853},[119],{"categories":4855},[119],{"categories":4857},[429],{"categories":4859},[119],{"categories":4861},[119],{"categories":4863},[177],{"categories":4865},[119],{"categories":4867},[119],{"categories":4869},[172],{"categories":4871},[180],{"categories":4873},[177],{"categories":4875},[177],{"categories":4877},[],{"categories":4879},[177],{"categories":4881},[265],{"categories":4883},[213],{"categories":4885},[119],{"categories":4887},[],{"categories":4889},[180],{"categories":4891},[],{"categories":4893},[191],{"categories":4895},[119],{"categories":4897},[177],{"categories":4899},[265],{"categories":4901},[119],{"categories":4903},[],{"categories":4905},[119],{"categories":4907},[119],{"categories":4909},[],{"categories":4911},[294],{"categories":4913},[119],{"categories":4915},[177],{"categories":4917},[],{"categories":4919},[],{"categories":4921},[213],{"categories":4923},[167],{"categories":4925},[119],{"categories":4927},[119],{"categories":4929},[172],{"categories":4931},[119],{"categories":4933},[119],{"categories":4935},[177],{"categories":4937},[119],{"categories":4939},[172],{"categories":4941},[172],{"categories":4943},[265],{"categories":4945},[],{"categories":4947},[119],{"categories":4949},[213],{"categories":4951},[],{"categories":4953},[119],{"categories":4955},[119],{"categories":4957},[265],{"categories":4959},[119],{"categories":4961},[119],{"categories":4963},[294],{"categories":4965},[119],{"categories":4967},[335],{"categories":4969},[],{"categories":4971},[177],{"categories":4973},[119],{"categories":4975},[294],{"categories":4977},[191],{"categories":4979},[],{"categories":4981},[119],{"categories":4983},[],{"categories":4985},[177],{"categories":4987},[265],{"categories":4989},[191],{"categories":4991},[],{"categories":4993},[3199],{"categories":4995},[172],{"categories":4997},[167],{"categories":4999},[119],{"categories":5001},[216],{"categories":5003},[177],{"categories":5005},[265],{"categories":5007},[119],{"categories":5009},[191],{"categories":5011},[],{"categories":5013},[],{"categories":5015},[119],{"categories":5017},[167],{"categories":5019},[119],{"categories":5021},[294],{"categories":5023},[],{"categories":5025},[177],{"categories":5027},[177],{"categories":5029},[119],{"categories":5031},[177],{"categories":5033},[119],{"categories":5035},[213],{"categories":5037},[191],{"categories":5039},[119],{"categories":5041},[177],{"categories":5043},[180],{"categories":5045},[119],{"categories":5047},[119],{"categories":5049},[119],{"categories":5051},[177],{"categories":5053},[119],{"categories":5055},[180],{"categories":5057},[294],{"categories":5059},[213],{"categories":5061},[],{"categories":5063},[294],{"categories":5065},[119],{"categories":5067},[],{"categories":5069},[191],{"categories":5071},[177],{"categories":5073},[],{"categories":5075},[119],{"categories":5077},[119],{"categories":5079},[119],{"categories":5081},[119],{"categories":5083},[119],{"categories":5085},[177],{"categories":5087},[172],{"categories":5089},[167],{"categories":5091},[177],{"categories":5093},[119],{"categories":5095},[265],{"categories":5097},[191],{"categories":5099},[191],{"categories":5101},[119],{"categories":5103},[216],{"categories":5105},[177],{"categories":5107},[119],{"categories":5109},[119],{"categories":5111},[177],{"categories":5113},[119],{"categories":5115},[119],{"categories":5117},[177],{"categories":5119},[172],{"categories":5121},[119],{"categories":5123},[265],{"categories":5125},[191],{"categories":5127},[177],{"categories":5129},[119],{"categories":5131},[180],{"categories":5133},[119],{"categories":5135},[177],{"categories":5137},[119],{"categories":5139},[119],{"categories":5141},[213],{"categories":5143},[119],{"categories":5145},[],{"categories":5147},[167],{"categories":5149},[119],{"categories":5151},[119],{"categories":5153},[119],{"categories":5155},[191],{"categories":5157},[191],{"categories":5159},[119],{"categories":5161},[191],{"categories":5163},[119],{"categories":5165},[177],{"categories":5167},[119],{"categories":5169},[119],{"categories":5171},[119],{"categories":5173},[119],{"categories":5175},[119],{"categories":5177},[],{"categories":5179},[119],{"categories":5181},[265],{"categories":5183},[177],{"categories":5185},[172],{"categories":5187},[213],{"categories":5189},[119],{"categories":5191},[177],{"categories":5193},[119],{"categories":5195},[177],{"categories":5197},[119],{"categories":5199},[119],{"categories":5201},[265],{"categories":5203},[177],{"categories":5205},[119],{"categories":5207},[294],{"categories":5209},[119],{"categories":5211},[216],{"categories":5213},[119],{"categories":5215},[119],{"categories":5217},[213],{"categories":5219},[119],{"categories":5221},[119],{"categories":5223},[119],{"categories":5225},[119],{"categories":5227},[177],{"categories":5229},[335],{"categories":5231},[119],{"categories":5233},[191],{"categories":5235},[177],{"categories":5237},[216],{"categories":5239},[],{"categories":5241},[177],{"categories":5243},[191],{"categories":5245},[119],{"categories":5247},[119],{"categories":5249},[2394],{"categories":5251},[265],{"categories":5253},[364],{"categories":5255},[119],{"categories":5257},[119],{"categories":5259},[119],{"categories":5261},[119],{"categories":5263},[167],{"categories":5265},[119],{"categories":5267},[119],{"categories":5269},[191],{"categories":5271},[172],{"categories":5273},[119],{"categories":5275},[191],{"categories":5277},[119],{"categories":5279},[],{"categories":5281},[177],{"categories":5283},[177],{"categories":5285},[119],{"categories":5287},[119],{"categories":5289},[119],{"categories":5291},[216],{"categories":5293},[],{"categories":5295},[213],{"categories":5297},[],{"categories":5299},[213],{"categories":5301},[119],{"categories":5303},[119],{"categories":5305},[177],{"categories":5307},[119],{"categories":5309},[177],{"categories":5311},[177],{"categories":5313},[],{"categories":5315},[119],{"categories":5317},[213],{"categories":5319},[119],{"categories":5321},[],{"categories":5323},[119],{"categories":5325},[119],{"categories":5327},[],{"categories":5329},[119],{"categories":5331},[119],{"categories":5333},[265],{"categories":5335},[191],{"categories":5337},[177],{"categories":5339},[119],{"categories":5341},[119],{"categories":5343},[119],{"categories":5345},[119],{"categories":5347},[294],{"categories":5349},[119],{"categories":5351},[119],{"categories":5353},[119],{"categories":5355},[167],{"categories":5357},[119],{"categories":5359},[119],{"categories":5361},[],{"categories":5363},[119],{"categories":5365},[119],{"categories":5367},[119],{"categories":5369},[],{"categories":5371},[167],{"categories":5373},[119],{"categories":5375},[119],{"categories":5377},[213],{"categories":5379},[191],{"categories":5381},[180],{"categories":5383},[177],{"categories":5385},[508],{"categories":5387},[119],{"categories":5389},[119],{"categories":5391},[119],{"categories":5393},[191],{"categories":5395},[213],{"categories":5397},[265],{"categories":5399},[119],{"categories":5401},[119],{"categories":5403},[119],{"categories":5405},[119],{"categories":5407},[213],{"categories":5409},[119],{"categories":5411},[265],{"categories":5413},[119],{"categories":5415},[119],{"categories":5417},[213],{"categories":5419},[265],{"categories":5421},[119],{"categories":5423},[213],{"categories":5425},[119],{"categories":5427},[177],{"categories":5429},[177],{"categories":5431},[177],{"categories":5433},[191],{"categories":5435},[213],{"categories":5437},[177],{"categories":5439},[177],{"categories":5441},[119],{"categories":5443},[191],{"categories":5445},[265],{"categories":5447},[119],{"categories":5449},[119],{"categories":5451},[177],{"categories":5453},[119],{"categories":5455},[],{"categories":5457},[177],{"categories":5459},[],{"categories":5461},[119],{"categories":5463},[119],{"categories":5465},[],{"categories":5467},[],{"categories":5469},[177],{"categories":5471},[172],{"categories":5473},[177],{"categories":5475},[5476],"Liability & Ethics",{"categories":5478},[119],{"categories":5480},[119],{"categories":5482},[119],{"categories":5484},[177],{"categories":5486},[167],{"categories":5488},[177],{"categories":5490},[172],{"categories":5492},[294],{"categories":5494},[177],{"categories":5496},[119],{"categories":5498},[119],{"categories":5500},[],{"categories":5502},[615],{"categories":5504},[177],{"categories":5506},[],{"categories":5508},[119],{"categories":5510},[167],{"categories":5512},[177],{"categories":5514},[],{"categories":5516},[177],{"categories":5518},[119],{"categories":5520},[119],{"categories":5522},[191],{"categories":5524},[119],{"categories":5526},[213],{"categories":5528},[119],{"categories":5530},[119],{"categories":5532},[180],{"categories":5534},[177],{"categories":5536},[119],{"categories":5538},[119],{"categories":5540},[119],{"categories":5542},[213],{"categories":5544},[177],{"categories":5546},[191],{"categories":5548},[265],{"categories":5550},[167],{"categories":5552},[119],{"categories":5554},[119],{"categories":5556},[119],{"categories":5558},[],{"categories":5560},[177],{"categories":5562},[177],{"categories":5564},[177],{"categories":5566},[508],{"categories":5568},[265],{"categories":5570},[177],{"categories":5572},[335],{"categories":5574},[191],{"categories":5576},[213],{"categories":5578},[119],{"categories":5580},[265],{"categories":5582},[119],{"categories":5584},[167],{"categories":5586},[],{"categories":5588},[177],{"categories":5590},[119],{"categories":5592},[119],{"categories":5594},[119],{"categories":5596},[119],{"categories":5598},[177],{"categories":5600},[119],{"categories":5602},[119],{"categories":5604},[265],{"categories":5606},[],{"categories":5608},[177],{"categories":5610},[180],{"categories":5612},[213],{"categories":5614},[177],{"categories":5616},[172],{"categories":5618},[],{"categories":5620},[119],{"categories":5622},[119],{"categories":5624},[180],{"categories":5626},[119],{"categories":5628},[177],{"categories":5630},[213],{"categories":5632},[167],{"categories":5634},[335],{"categories":5636},[119],{"categories":5638},[119],{"categories":5640},[119],{"categories":5642},[213],{"categories":5644},[172],{"categories":5646},[119],{"categories":5648},[265],{"categories":5650},[213],{"categories":5652},[335],{"categories":5654},[119],{"categories":5656},[177],{"categories":5658},[],{"categories":5660},[569],{"categories":5662},[],{"categories":5664},[119],{"categories":5666},[335],{"categories":5668},[119],{"categories":5670},[216],{"categories":5672},[119],{"categories":5674},[177],{"categories":5676},[177],{"categories":5678},[5679],"Design News & Tools",{"categories":5681},[119],{"categories":5683},[119],{"categories":5685},[213],{"categories":5687},[119],{"categories":5689},[119],{"categories":5691},[167],{"categories":5693},[177],{"categories":5695},[119],{"categories":5697},[265],{"categories":5699},[177],{"categories":5701},[177],{"categories":5703},[265],{"categories":5705},[119],{"categories":5707},[119],{"categories":5709},[508],{"categories":5711},[177],{"categories":5713},[119],{"categories":5715},[119],{"categories":5717},[508],{"categories":5719},[119],{"categories":5721},[294],{"categories":5723},[119],{"categories":5725},[177],{"categories":5727},[],{"categories":5729},[119],{"categories":5731},[119],{"categories":5733},[119],{"categories":5735},[213],{"categories":5737},[119],{"categories":5739},[167],{"categories":5741},[],{"categories":5743},[119],{"categories":5745},[119],{"categories":5747},[119],{"categories":5749},[191],{"categories":5751},[642],{"categories":5753},[191],{"categories":5755},[265],{"categories":5757},[119],{"categories":5759},[119,177],{"categories":5761},[294,172],{"categories":5763},[191],{"categories":5765},[119],{"categories":5767},[119],{"categories":5769},[119],{"categories":5771},[119],{"categories":5773},[],{"categories":5775},[177],{"categories":5777},[119],{"categories":5779},[],{"categories":5781},[119],{"categories":5783},[191],{"categories":5785},[119],{"categories":5787},[191],{"categories":5789},[],{"categories":5791},[177],{"categories":5793},[119],{"categories":5795},[172],{"categories":5797},[119],{"categories":5799},[213],{"categories":5801},[119],{"categories":5803},[],{"categories":5805},[177],{"categories":5807},[119],{"categories":5809},[],{"categories":5811},[265],{"categories":5813},[119],{"categories":5815},[119],{"categories":5817},[177],{"categories":5819},[119],{"categories":5821},[119],{"categories":5823},[167],{"categories":5825},[177],{"categories":5827},[119],{"categories":5829},[],{"categories":5831},[119],{"categories":5833},[335],{"categories":5835},[294],{"categories":5837},[172],{"categories":5839},[172],{"categories":5841},[119],{"categories":5843},[167],{"categories":5845},[167],{"categories":5847},[119],{"categories":5849},[177],{"categories":5851},[119],{"categories":5853},[119],{"categories":5855},[119],{"categories":5857},[119],{"categories":5859},[191],{"categories":5861},[119],{"categories":5863},[167],{"categories":5865},[119],{"categories":5867},[119],{"categories":5869},[177],{"categories":5871},[119],{"categories":5873},[294],{"categories":5875},[119],{"categories":5877},[213],{"categories":5879},[119],{"categories":5881},[119],{"categories":5883},[177],{"categories":5885},[180],{"categories":5887},[119],{"categories":5889},[119],{"categories":5891},[177],{"categories":5893},[],{"categories":5895},[191],{"categories":5897},[],{"categories":5899},[191],{"categories":5901},[177],{"categories":5903},[167],{"categories":5905},[119],{"categories":5907},[],{"categories":5909},[216],{"categories":5911},[335],{"categories":5913},[119],{"categories":5915},[191],{"categories":5917},[119],{"categories":5919},[],{"categories":5921},[213],{"categories":5923},[177],{"categories":5925},[191],{"categories":5927},[265],{"categories":5929},[172],{"categories":5931},[119],{"categories":5933},[119],{"categories":5935},[177],{"categories":5937},[191],{"categories":5939},[177],{"categories":5941},[213],{"categories":5943},[119],{"categories":5945},[180],{"categories":5947},[167],{"categories":5949},[180],{"categories":5951},[213],{"categories":5953},[119],{"categories":5955},[191],{"categories":5957},[119],{"categories":5959},[265],{"categories":5961},[172],{"categories":5963},[119],{"categories":5965},[119],{"categories":5967},[119],{"categories":5969},[119],{"categories":5971},[119],{"categories":5973},[119],{"categories":5975},[177],{"categories":5977},[119],{"categories":5979},[177],{"categories":5981},[119],{"categories":5983},[119],{"categories":5985},[167],{"categories":5987},[119],{"categories":5989},[177],{"categories":5991},[177],{"categories":5993},[265],{"categories":5995},[177],{"categories":5997},[177],{"categories":5999},[119],{"categories":6001},[167],{"categories":6003},[177],{"categories":6005},[265],{"categories":6007},[],{"categories":6009},[119],{"categories":6011},[216],{"categories":6013},[508],{"categories":6015},[119],{"categories":6017},[177],{"categories":6019},[119],{"categories":6021},[119],{"categories":6023},[191],{"categories":6025},[119],{"categories":6027},[],{"categories":6029},[119],{"categories":6031},[177],{"categories":6033},[119],{"categories":6035},[294],{"categories":6037},[119],{"categories":6039},[191],{"categories":6041},[119],{"categories":6043},[213],{"categories":6045},[177],{"categories":6047},[119],{"categories":6049},[294],{"categories":6051},[177],{"categories":6053},[172],{"categories":6055},[172],{"categories":6057},[119],{"categories":6059},[119],{"categories":6061},[119],{"categories":6063},[119],{"categories":6065},[119],{"categories":6067},[119],{"categories":6069},[167],{"categories":6071},[],{"categories":6073},[119],{"categories":6075},[119],{"categories":6077},[177],{"categories":6079},[119],{"categories":6081},[177],{"categories":6083},[119],{"categories":6085},[119],{"categories":6087},[119],{"categories":6089},[119],{"categories":6091},[119],{"categories":6093},[191],{"categories":6095},[],{"categories":6097},[167],{"categories":6099},[119],{"categories":6101},[119],{"categories":6103},[177],{"categories":6105},[177],{"categories":6107},[],{"categories":6109},[191],{"categories":6111},[191],{"categories":6113},[119],{"categories":6115},[294],{"categories":6117},[172],{"categories":6119},[265],{"categories":6121},[],{"categories":6123},[119],{"categories":6125},[177],{"categories":6127},[167],{"categories":6129},[119],{"categories":6131},[119],{"categories":6133},[191],{"categories":6135},[167],{"categories":6137},[119],{"categories":6139},[119],{"categories":6141},[213],{"categories":6143},[216],{"categories":6145},[119],{"categories":6147},[213],{"categories":6149},[177],{"categories":6151},[119],{"categories":6153},[],{"categories":6155},[213],{"categories":6157},[177],{"categories":6159},[265],{"categories":6161},[216],{"categories":6163},[119],{"categories":6165},[119],{"categories":6167},[],{"categories":6169},[177],{"categories":6171},[177],{"categories":6173},[177],{"categories":6175},[3199],{"categories":6177},[213],{"categories":6179},[119],{"categories":6181},[191],{"categories":6183},[119],{"categories":6185},[119],{"categories":6187},[119],{"categories":6189},[119],{"categories":6191},[119],{"categories":6193},[172],{"categories":6195},[119],{"categories":6197},[167],{"categories":6199},[1856],{"categories":6201},[335],{"categories":6203},[167],{"categories":6205},[],{"categories":6207},[119],{"categories":6209},[],{"categories":6211},[213],{"categories":6213},[177],{"categories":6215},[265],{"categories":6217},[119],{"categories":6219},[119],{"categories":6221},[119],{"categories":6223},[213],{"categories":6225},[],{"categories":6227},[177],{"categories":6229},[119],{"categories":6231},[177],{"categories":6233},[177],{"categories":6235},[],{"categories":6237},[119],{"categories":6239},[],{"categories":6241},[213],{"categories":6243},[167],{"categories":6245},[265],{"categories":6247},[119],{"categories":6249},[177],{"categories":6251},[213],{"categories":6253},[119],{"categories":6255},[213],{"categories":6257},[],{"categories":6259},[213],{"categories":6261},[119],{"categories":6263},[167],{"categories":6265},[508],{"categories":6267},[177],{"categories":6269},[119],{"categories":6271},[],{"categories":6273},[191],{"categories":6275},[177],{"categories":6277},[180],{"categories":6279},[177],{"categories":6281},[167],{"categories":6283},[119],{"categories":6285},[119],{"categories":6287},[],{"categories":6289},[],{"categories":6291},[],{"categories":6293},[265],{"categories":6295},[119],{"categories":6297},[177],{"categories":6299},[119],{"categories":6301},[119],{"categories":6303},[],{"categories":6305},[],{"categories":6307},[],{"categories":6309},[119],{"categories":6311},[177],{"categories":6313},[265],{"categories":6315},[119],{"categories":6317},[],{"categories":6319},[177],{"categories":6321},[119],{"categories":6323},[119],{"categories":6325},[167],{"categories":6327},[],{"categories":6329},[],{"categories":6331},[119],{"categories":6333},[119],{"categories":6335},[177],{"categories":6337},[265],{"categories":6339},[119],{"categories":6341},[213],{"categories":6343},[],{"categories":6345},[119],{"categories":6347},[119],{"categories":6349},[294],{"categories":6351},[213],{"categories":6353},[294],{"categories":6355},[216],{"categories":6357},[119],{"categories":6359},[119],{"categories":6361},[],{"categories":6363},[],{"categories":6365},[177],{"categories":6367},[],{"categories":6369},[119],{"categories":6371},[508],{"categories":6373},[119],{"categories":6375},[119],{"categories":6377},[119],{"categories":6379},[119],{"categories":6381},[],{"categories":6383},[177],{"categories":6385},[119],{"categories":6387},[119],{"categories":6389},[],{"categories":6391},[177],{"categories":6393},[119],{"categories":6395},[213],{"categories":6397},[119],{"categories":6399},[294],{"categories":6401},[172],{"categories":6403},[180],{"categories":6405},[119],{"categories":6407},[119],{"categories":6409},[177],{"categories":6411},[216],{"categories":6413},[177],{"categories":6415},[177],{"categories":6417},[],{"categories":6419},[119],{"categories":6421},[177],{"categories":6423},[],{"categories":6425},[119],{"categories":6427},[],{"categories":6429},[213],{"categories":6431},[172],{"categories":6433},[],{"categories":6435},[119],{"categories":6437},[119],{"categories":6439},[119],{"categories":6441},[],{"categories":6443},[177],{"categories":6445},[265],{"categories":6447},[167],{"categories":6449},[119],{"categories":6451},[],{"categories":6453},[172],{"categories":6455},[294],{"categories":6457},[119],{"categories":6459},[191],{"categories":6461},[167],{"categories":6463},[216],{"categories":6465},[172],{"categories":6467},[191],{"categories":6469},[177],{"categories":6471},[191],{"categories":6473},[],{"categories":6475},[119],{"categories":6477},[180],{"categories":6479},[119],{"categories":6481},[],{"categories":6483},[177],{"categories":6485},[167],{"categories":6487},[265],{"categories":6489},[119],{"categories":6491},[167],{"categories":6493},[177],{"categories":6495},[335],{"categories":6497},[119],{"categories":6499},[119],{"categories":6501},[119],{"categories":6503},[119],{"categories":6505},[119],{"categories":6507},[167],{"categories":6509},[119],{"categories":6511},[191],{"categories":6513},[216],{"categories":6515},[177],{"categories":6517},[],{"categories":6519},[119],{"categories":6521},[119],{"categories":6523},[119],{"categories":6525},[191],{"categories":6527},[177],{"categories":6529},[213],{"categories":6531},[191],{"categories":6533},[119],{"categories":6535},[180],{"categories":6537},[],{"categories":6539},[265],{"categories":6541},[191],{"categories":6543},[213],{"categories":6545},[119],{"categories":6547},[167],{"categories":6549},[177],{"categories":6551},[119],{"categories":6553},[119],{"categories":6555},[177],{"categories":6557},[180],{"categories":6559},[119],{"categories":6561},[177],{"categories":6563},[119],{"categories":6565},[172],{"categories":6567},[177],{"categories":6569},[177,335],{"categories":6571},[119],{"categories":6573},[119],{"categories":6575},[177],{"categories":6577},[191],{"categories":6579},[119],{"categories":6581},[119],{"categories":6583},[216],{"categories":6585},[177],{"categories":6587},[294],{"categories":6589},[177],{"categories":6591},[172],{"categories":6593},[],{"categories":6595},[177],{"categories":6597},[119],{"categories":6599},[172],{"categories":6601},[],{"categories":6603},[],{"categories":6605},[191],{"categories":6607},[119],{"categories":6609},[119],{"categories":6611},[177],{"categories":6613},[216],{"categories":6615},[294],{"categories":6617},[119],{"categories":6619},[119],{"categories":6621},[119],{"categories":6623},[177],{"categories":6625},[],{"categories":6627},[177],{"categories":6629},[213],{"categories":6631},[119],{"categories":6633},[177],{"categories":6635},[177],{"categories":6637},[119],{"categories":6639},[],{"categories":6641},[213],{"categories":6643},[191],{"categories":6645},[3199],{"categories":6647},[167],{"categories":6649},[191],{"categories":6651},[119],{"categories":6653},[177],{"categories":6655},[119],{"categories":6657},[119],{"categories":6659},[294],{"categories":6661},[191],{"categories":6663},[216],{"categories":6665},[],{"categories":6667},[213],{"categories":6669},[119],{"categories":6671},[119],{"categories":6673},[],{"categories":6675},[177],{"categories":6677},[119],{"categories":6679},[119],{"categories":6681},[119],{"categories":6683},[119],{"categories":6685},[177],{"categories":6687},[119],{"categories":6689},[119],{"categories":6691},[119],{"categories":6693},[180],{"categories":6695},[119],{"categories":6697},[177],{"categories":6699},[119],{"categories":6701},[119],{"categories":6703},[119],{"categories":6705},[119],{"categories":6707},[119],{"categories":6709},[119],{"categories":6711},[119],{"categories":6713},[172],{"categories":6715},[],{"categories":6717},[180],{"categories":6719},[213],{"categories":6721},[177],{"categories":6723},[119],{"categories":6725},[191],{"categories":6727},[],{"categories":6729},[191],{"categories":6731},[191],{"categories":6733},[177],{"categories":6735},[191],{"categories":6737},[119],{"categories":6739},[119],{"categories":6741},[119],{"categories":6743},[177],{"categories":6745},[191],{"categories":6747},[119],{"categories":6749},[119],{"categories":6751},[119],{"categories":6753},[177],{"categories":6755},[213],{"categories":6757},[119],{"categories":6759},[119],{"categories":6761},[119],{"categories":6763},[172],{"categories":6765},[119],{"categories":6767},[177],{"categories":6769},[265],{"categories":6771},[],{"categories":6773},[119],{"categories":6775},[216],{"categories":6777},[119],{"categories":6779},[177],{"categories":6781},[119],{"categories":6783},[119],{"categories":6785},[],{"categories":6787},[119],{"categories":6789},[119],{"categories":6791},[213],{"categories":6793},[119],{"categories":6795},[119],{"categories":6797},[177],{"categories":6799},[294],{"categories":6801},[],{"categories":6803},[],{"categories":6805},[191],{"categories":6807},[119],{"categories":6809},[119],{"categories":6811},[213],{"categories":6813},[119],{"categories":6815},[191],{"categories":6817},[213],{"categories":6819},[119],{"categories":6821},[119],{"categories":6823},[294],{"categories":6825},[216],{"categories":6827},[119],{"categories":6829},[119],{"categories":6831},[167],{"categories":6833},[177],{"categories":6835},[119],{"categories":6837},[119],{"categories":6839},[177],{"categories":6841},[172],{"categories":6843},[177],{"categories":6845},[191],{"categories":6847},[119],{"categories":6849},[172],{"categories":6851},[],{"categories":6853},[119],{"categories":6855},[216],{"categories":6857},[119],{"categories":6859},[119],{"categories":6861},[],{"categories":6863},[213],{"categories":6865},[119],{"categories":6867},[177],{"categories":6869},[216],{"categories":6871},[119],{"categories":6873},[191],{"categories":6875},[191],{"categories":6877},[191],{"categories":6879},[119],{"categories":6881},[177],{"categories":6883},[177],{"categories":6885},[119],{"categories":6887},[177],{"categories":6889},[119],{"categories":6891},[119],{"categories":6893},[265],{"categories":6895},[216],{"categories":6897},[216],{"categories":6899},[],{"categories":6901},[213],{"categories":6903},[119],{"categories":6905},[119],{"categories":6907},[191],{"categories":6909},[],{"categories":6911},[213],{"categories":6913},[213],{"categories":6915},[213],{"categories":6917},[],{"categories":6919},[177],{"categories":6921},[119],{"categories":6923},[],{"categories":6925},[167],{"categories":6927},[172],{"categories":6929},[],{"categories":6931},[119],{"categories":6933},[119],{"categories":6935},[],{"categories":6937},[191],{"categories":6939},[],{"categories":6941},[],{"categories":6943},[],{"categories":6945},[],{"categories":6947},[119],{"categories":6949},[213],{"categories":6951},[],{"categories":6953},[],{"categories":6955},[119],{"categories":6957},[119],{"categories":6959},[119],{"categories":6961},[216],{"categories":6963},[119],{"categories":6965},[216],{"categories":6967},[],{"categories":6969},[216],{"categories":6971},[216],{"categories":6973},[335],{"categories":6975},[177],{"categories":6977},[191],{"categories":6979},[],{"categories":6981},[],{"categories":6983},[216],{"categories":6985},[191],{"categories":6987},[191],{"categories":6989},[191],{"categories":6991},[],{"categories":6993},[167],{"categories":6995},[191],{"categories":6997},[191],{"categories":6999},[167],{"categories":7001},[191],{"categories":7003},[172],{"categories":7005},[191],{"categories":7007},[191],{"categories":7009},[191],{"categories":7011},[216],{"categories":7013},[213],{"categories":7015},[213],{"categories":7017},[119],{"categories":7019},[191],{"categories":7021},[216],{"categories":7023},[335],{"categories":7025},[216],{"categories":7027},[216],{"categories":7029},[216],{"categories":7031},[],{"categories":7033},[172],{"categories":7035},[],{"categories":7037},[335],{"categories":7039},[191],{"categories":7041},[191],{"categories":7043},[191],{"categories":7045},[177],{"categories":7047},[213,172],{"categories":7049},[216],{"categories":7051},[],{"categories":7053},[],{"categories":7055},[216],{"categories":7057},[],{"categories":7059},[216],{"categories":7061},[213],{"categories":7063},[177],{"categories":7065},[],{"categories":7067},[191],{"categories":7069},[119],{"categories":7071},[265],{"categories":7073},[],{"categories":7075},[119],{"categories":7077},[],{"categories":7079},[213],{"categories":7081},[167],{"categories":7083},[216],{"categories":7085},[],{"categories":7087},[191],{"categories":7089},[213],[7091,7176,7258,7338],{"id":7092,"title":7093,"ai":7094,"body":7100,"categories":7152,"created_at":120,"date_modified":120,"description":111,"extension":121,"faq":120,"featured":122,"kicker_label":120,"meta":7153,"navigation":144,"path":7164,"published_at":7165,"question":120,"scraped_at":7165,"seo":7166,"sitemap":7167,"source_id":7168,"source_name":7169,"source_type":152,"source_url":7158,"stem":7170,"tags":7171,"thumbnail_url":120,"tldr":7173,"tweet":120,"unknown_tags":7174,"__hash__":7175},"summaries\u002Fsummaries\u002F6276fcea013550c9-automating-ascend-c-operator-generation-with-agent-summary.md","Automating Ascend C Operator Generation with AgenticCANN",{"provider":7,"model":7095,"input_tokens":7096,"output_tokens":7097,"processing_time_ms":7098,"cost_usd":7099},"google\u002Fgemini-3.1-flash-lite",4005,575,2628,0.00186375,{"type":14,"value":7101,"toc":7147},[7102,7106,7109,7113,7116,7120,7123,7144],[17,7103,7105],{"id":7104},"the-challenge-of-manual-operator-development","The Challenge of Manual Operator Development",[22,7107,7108],{},"Developing high-performance operators for specialized AI hardware like the Ascend NPU is traditionally a labor-intensive, manual process. Engineers must write low-level Ascend C code, which requires deep expertise in hardware architecture, memory management, and parallel computing. This bottleneck often slows down the deployment of new models on specialized hardware, as the manual optimization cycle is prone to errors and requires significant domain knowledge.",[17,7110,7112],{"id":7111},"the-agenticcann-framework","The AgenticCANN Framework",[22,7114,7115],{},"AgenticCANN (Automated Ascend C Operator Generation via Knowledge-Augmented Agentic Evolution) addresses this by introducing an autonomous agent-based system that automates the generation and optimization of these operators. Instead of relying solely on zero-shot code generation from LLMs—which often fails to meet the strict performance requirements of hardware-specific kernels—the framework uses an evolutionary approach augmented by domain-specific knowledge.",[17,7117,7119],{"id":7118},"knowledge-augmented-evolution","Knowledge-Augmented Evolution",[22,7121,7122],{},"The system operates through an iterative loop where an agentic framework generates candidate code, evaluates it against hardware constraints, and refines the implementation. Key components include:",[7124,7125,7126,7132,7138],"ul",{},[62,7127,7128,7131],{},[91,7129,7130],{},"Knowledge Augmentation:"," The system is grounded in a library of hardware-specific best practices, architectural constraints, and optimized patterns, ensuring the generated code adheres to the target environment's requirements.",[62,7133,7134,7137],{},[91,7135,7136],{},"Agentic Evolution:"," Rather than a single-pass generation, the framework uses an evolutionary strategy where multiple code variants are tested and mutated. The agent learns from performance feedback, iteratively improving the operator's efficiency.",[62,7139,7140,7143],{},[91,7141,7142],{},"Automated Validation:"," The framework integrates automated testing to verify both functional correctness and performance metrics, ensuring that the generated code is production-ready before it reaches the hardware level.",[22,7145,7146],{},"By shifting the burden of low-level optimization from human engineers to an agentic pipeline, AgenticCANN significantly reduces the time-to-market for new operators while maintaining the high performance required for modern AI workloads.",{"title":111,"searchDepth":112,"depth":112,"links":7148},[7149,7150,7151],{"id":7104,"depth":112,"text":7105},{"id":7111,"depth":112,"text":7112},{"id":7118,"depth":112,"text":7119},[119],{"content_references":7154,"triage":7160},[7155],{"type":7156,"title":7157,"url":7158,"context":7159},"paper","AgenticCANN: Automated Ascend C Operator Generation via Knowledge-Augmented Agentic Evolution","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.26661","cited",{"relevance":7161,"novelty":141,"quality":141,"actionability":140,"composite":7162,"reasoning":7163},5,4.15,"Category: AI Automation. The article discusses the AgenticCANN framework, which automates the generation of high-performance operators for AI hardware, addressing a specific pain point of manual operator development. It presents a novel approach that combines evolutionary strategies with domain-specific knowledge, offering insights that could be applied in practical AI product development.","\u002Fsummaries\u002F6276fcea013550c9-automating-ascend-c-operator-generation-with-agent-summary","2026-08-01 03:13:05",{"title":7093,"description":111},{"loc":7164},"6276fcea013550c9","arXiv cs.AI","summaries\u002F6276fcea013550c9-automating-ascend-c-operator-generation-with-agent-summary",[156,157,158,7172],"coding","AgenticCANN leverages a knowledge-augmented agentic evolution framework to automate the complex, manual process of writing high-performance Ascend C operators for AI hardware.",[],"n1SnXNaTCuRBpQc4WtqP625IT284qc3wUOW9jPS8Ww0",{"id":7177,"title":7178,"ai":7179,"body":7184,"categories":7227,"created_at":120,"date_modified":120,"description":111,"extension":121,"faq":120,"featured":122,"kicker_label":120,"meta":7228,"navigation":144,"path":7244,"published_at":7245,"question":120,"scraped_at":7246,"seo":7247,"sitemap":7248,"source_id":7249,"source_name":7250,"source_type":152,"source_url":7251,"stem":7252,"tags":7253,"thumbnail_url":120,"tldr":7255,"tweet":120,"unknown_tags":7256,"__hash__":7257},"summaries\u002Fsummaries\u002F94a3fe9f005972ab-pangram-raises-9m-to-combat-ai-generated-content-p-summary.md","Pangram Raises $9M to Combat AI-Generated Content Proliferation",{"provider":7,"model":7095,"input_tokens":7180,"output_tokens":7181,"processing_time_ms":7182,"cost_usd":7183},7095,704,3491,0.00282975,{"type":14,"value":7185,"toc":7223},[7186,7190,7193,7196,7200,7203,7206,7220],[17,7187,7189],{"id":7188},"detecting-ai-through-stylistic-analysis","Detecting AI Through Stylistic Analysis",[22,7191,7192],{},"Pangram, founded by Stanford AI and machine learning graduates Max Spero and Bradley Emi, has raised $9 million to address the rise of \"AI slop\"—low-quality, automated content flooding the internet. Unlike detection methods that rely on hidden watermarks or metadata—which are easily stripped or bypassed—Pangram’s approach uses a large machine learning model trained on millions of human-authored documents.",[22,7194,7195],{},"To train the system, the company creates a \"synthetic mirror\" of human documents, replicating their length, topic, and tone using frontier LLMs. By comparing these mirrors against human originals, the model learns to identify the consistent stylistic choices and patterns unique to AI generation. This allows the system to detect AI-assisted content even when it has been lightly edited by a human.",[17,7197,7199],{"id":7198},"multi-modal-detection-and-real-world-application","Multi-Modal Detection and Real-World Application",[22,7201,7202],{},"Beyond text, Pangram is expanding into image detection. Its image model analyzes pixel-level statistical distributions to distinguish between real photos and AI-generated imagery, regardless of the model used to create the image. This is a significant departure from watermark-based checks, which are typically limited to content produced by a specific company's own models (e.g., Google or OpenAI).",[22,7204,7205],{},"Pangram offers several ways to integrate this technology:",[7124,7207,7208,7214],{},[62,7209,7210,7213],{},[91,7211,7212],{},"Consumer Tools:"," A $20\u002Fmonth web subscription and a browser extension that provides real-time \"health scores\" for content on platforms like X, LinkedIn, and Substack.",[62,7215,7216,7219],{},[91,7217,7218],{},"API Integration:"," The company provides an API for platforms like Substack, schools, and publishers to verify the provenance of content.",[22,7221,7222],{},"The startup claims a false positive rate of approximately one in 10,000 for human documents, though real-world testing indicates that while the model is highly effective at identifying pure AI content, it can occasionally misidentify heavily edited or specific human-written styles as AI-assisted.",{"title":111,"searchDepth":112,"depth":112,"links":7224},[7225,7226],{"id":7188,"depth":112,"text":7189},{"id":7198,"depth":112,"text":7199},[119],{"content_references":7229,"triage":7241},[7230,7233,7235,7237,7239],{"type":126,"title":7231,"url":7232,"context":128},"Pangram","http:\u002F\u002Fpangram.com",{"type":126,"title":7234,"context":128},"Winston AI",{"type":126,"title":7236,"context":128},"Originality.ai",{"type":126,"title":7238,"context":128},"Copyleaks",{"type":126,"title":7240,"context":128},"GPTZero",{"relevance":141,"novelty":140,"quality":141,"actionability":141,"composite":7242,"reasoning":7243},3.8,"Category: AI & LLMs. The article discusses a new AI detection technology that addresses a specific pain point regarding the proliferation of AI-generated content, which is relevant to product builders concerned with content authenticity. It provides actionable insights on how to integrate this technology through consumer tools and API, making it applicable for developers and product teams.","\u002Fsummaries\u002F94a3fe9f005972ab-pangram-raises-9m-to-combat-ai-generated-content-p-summary","2026-07-29 11:00:00","2026-07-30 03:13:57",{"title":7178,"description":111},{"loc":7244},"94a3fe9f005972ab","TechCrunch — AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F07\u002F29\u002Fas-ai-content-floods-the-internet-pangram-raises-9m-to-detect-it\u002F","summaries\u002F94a3fe9f005972ab-pangram-raises-9m-to-combat-ai-generated-content-p-summary",[156,7254,158,157],"llm","Pangram has raised $9M to scale its AI detection technology, which uses machine learning to identify AI-generated text and images by analyzing stylistic patterns and pixel distributions rather than relying on watermarks.",[],"r60qhT8vUN1PV-cp7xg3dlzEYaLUn0ClfTwHn80zgdM",{"id":7259,"title":7260,"ai":7261,"body":7266,"categories":7311,"created_at":120,"date_modified":120,"description":111,"extension":121,"faq":120,"featured":122,"kicker_label":120,"meta":7312,"navigation":144,"path":7324,"published_at":7325,"question":120,"scraped_at":7326,"seo":7327,"sitemap":7328,"source_id":7329,"source_name":7330,"source_type":152,"source_url":7331,"stem":7332,"tags":7333,"thumbnail_url":120,"tldr":7335,"tweet":120,"unknown_tags":7336,"__hash__":7337},"summaries\u002Fsummaries\u002F072c0c3973379946-accelerating-scientific-discovery-with-llm-driven-summary.md","Accelerating Scientific Discovery with LLM-Driven Hypothesis Testing",{"provider":7,"model":7095,"input_tokens":7262,"output_tokens":7263,"processing_time_ms":7264,"cost_usd":7265},5227,684,4631,0.00233275,{"type":14,"value":7267,"toc":7306},[7268,7272,7275,7278,7282,7285,7299,7303],[17,7269,7271],{"id":7270},"solving-biological-mysteries-through-pattern-recognition","Solving Biological Mysteries Through Pattern Recognition",[22,7273,7274],{},"Immunologist Derya Unutmaz utilized GPT-5 Pro to resolve a three-year-old experimental anomaly regarding T cell specialization. His team previously observed that T cells exposed to deoxyglucose—a glucose-like molecule—consistently differentiated into inflammatory Th17 cells, whereas low-glucose environments did not produce the same effect. The team could not determine the underlying mechanism and shelved the data.",[22,7276,7277],{},"When re-analyzed by the model, the AI identified that deoxyglucose specifically interfered with the production of IL-2, a protein that normally acts as a barrier to Th17 differentiation. By removing this protein, the cells were effectively pushed toward an inflammatory state. This insight was outside the immediate scope of the lab's expertise, demonstrating the model's ability to synthesize complex biological interactions that human researchers may overlook.",[17,7279,7281],{"id":7280},"ai-as-a-strategic-research-collaborator","AI as a Strategic Research Collaborator",[22,7283,7284],{},"Beyond retrospective analysis, Unutmaz uses the model to simulate experiments before conducting them in the lab. This approach serves two primary functions:",[7124,7286,7287,7293],{},[62,7288,7289,7292],{},[91,7290,7291],{},"Hypothesis Prioritization:"," Researchers face a vast number of potential experimental paths. By simulating outcomes, the model helps scientists narrow down which strategies are most likely to yield significant results, potentially saving months of trial-and-error.",[62,7294,7295,7298],{},[91,7296,7297],{},"Predictive Validation:"," In a blind test, the model correctly predicted the enhanced cancer-killing capabilities of CD8+ T cells in a lymphoma study that had not yet been published or indexed on the internet. This suggests the model is performing genuine reasoning rather than simple retrieval.",[17,7300,7302],{"id":7301},"the-human-in-the-loop-requirement","The Human-in-the-Loop Requirement",[22,7304,7305],{},"Despite these capabilities, Unutmaz emphasizes that subject matter expertise remains non-negotiable. The AI provides the insight, but the human researcher must evaluate its biological plausibility and significance. The model acts as a force multiplier—streamlining literature reviews and data synthesis—but the scientist remains the final arbiter of the research direction. This collaborative workflow allows for the rapid generation of complex materials, such as large-scale mutation datasets and specialized textbooks, which would otherwise require significant manual labor.",{"title":111,"searchDepth":112,"depth":112,"links":7307},[7308,7309,7310],{"id":7270,"depth":112,"text":7271},{"id":7280,"depth":112,"text":7281},{"id":7301,"depth":112,"text":7302},[119],{"content_references":7313,"triage":7321},[7314,7317,7319],{"type":126,"title":7315,"publisher":7316,"context":132},"GPT-5 Pro","OpenAI",{"type":126,"title":7318,"publisher":7316,"context":128},"Codex",{"type":126,"title":7320,"publisher":7316,"context":128},"GPT-5.2 Deep Research",{"relevance":140,"novelty":140,"quality":141,"actionability":112,"composite":7322,"reasoning":7323},3.05,"Category: AI & LLMs. The article discusses the application of LLMs in scientific research, which aligns with the AI & LLMs category. It presents a specific case of using AI for hypothesis testing, but lacks detailed actionable steps for the audience to implement similar strategies in their own work.","\u002Fsummaries\u002F072c0c3973379946-accelerating-scientific-discovery-with-llm-driven-summary","2026-06-18 15:00:00","2026-06-24 12:56:44",{"title":7260,"description":111},{"loc":7324},"072c0c3973379946","OpenAI News","https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-5-immunology-mystery","summaries\u002F072c0c3973379946-accelerating-scientific-discovery-with-llm-driven-summary",[156,7334,157,158],"research","Immunologist Derya Unutmaz demonstrates how LLMs act as research collaborators by identifying hidden biological mechanisms in experimental data and simulating outcomes to prioritize high-value lab work.",[],"u5UH9ku4qUJnLmHJUZvkFFYG2VBXIRH15EPUas0MIfU",{"id":7339,"title":7340,"ai":7341,"body":7346,"categories":7413,"created_at":120,"date_modified":120,"description":111,"extension":121,"faq":120,"featured":122,"kicker_label":120,"meta":7414,"navigation":144,"path":7426,"published_at":7427,"question":120,"scraped_at":7428,"seo":7429,"sitemap":7430,"source_id":7431,"source_name":7432,"source_type":7433,"source_url":7434,"stem":7435,"tags":7436,"thumbnail_url":7437,"tldr":7438,"tweet":7439,"unknown_tags":7440,"__hash__":7441},"summaries\u002Fsummaries\u002F1a6b27682bc5657a-optimizing-video-diffusion-for-real-time-generatio-summary.md","Optimizing Video Diffusion for Real-Time Generation",{"provider":7,"model":7095,"input_tokens":7342,"output_tokens":7343,"processing_time_ms":7344,"cost_usd":7345},7266,665,4888,0.002814,{"type":14,"value":7347,"toc":7408},[7348,7352,7355,7359,7397,7401],[17,7349,7351],{"id":7350},"the-path-to-real-time-diffusion","The Path to Real-Time Diffusion",[22,7353,7354],{},"Standard diffusion models typically require 20 to 50 denoising steps, creating significant latency that hinders real-time applications like robotics or interactive content. Achieving real-time performance requires an additive approach, stacking three primary optimization techniques: quantization, caching, and distillation.",[17,7356,7358],{"id":7357},"three-pillars-of-optimization","Three Pillars of Optimization",[7124,7360,7361,7371,7377],{},[62,7362,7363,7366,7367,7370],{},[91,7364,7365],{},"Quantization:"," This is the lowest-hanging fruit. While diffusion models are attention-heavy and less sensitive to quantization than LLMs, dynamic quantization (computing ranges on the fly) effectively reduces memory footprint and improves throughput. NVIDIA’s ",[74,7368,7369],{},"TRTLM"," repository provides pre-quantized checkpoints to simplify deployment.",[62,7372,7373,7376],{},[91,7374,7375],{},"Caching:"," By identifying redundant computations between denoising steps, caching skips re-processing latent chunks that remain static. Modern approaches use chunk-based caching, which isolates dynamic elements (like a moving speaker) from static backgrounds, significantly reducing redundant GPU cycles.",[62,7378,7379,7382,7383],{},[91,7380,7381],{},"Step Distillation:"," The most impactful technique, distillation trains a 'student' model to match a 'teacher' model's output in significantly fewer steps (e.g., 4, 8, or even 1).\n",[7124,7384,7385,7391],{},[62,7386,7387,7390],{},[91,7388,7389],{},"Trajectory-based:"," The student learns to mimic the teacher's exact denoising path.",[62,7392,7393,7396],{},[91,7394,7395],{},"Distribution-based:"," The student only learns to land on the same final output. This is currently the preferred, higher-quality method.",[17,7398,7400],{"id":7399},"implementation-strategy","Implementation Strategy",[22,7402,7403,7404,7407],{},"NVIDIA’s ",[74,7405,7406],{},"FastGen"," repository provides the necessary infrastructure to handle the complexity of sharding large models (20B–40B+ parameters) across multiple GPUs. The process is incremental: start with quantization to see if performance meets requirements, then layer in caching, and finally apply distillation for the most significant speedups. While distillation is a post-training technique requiring specific data and compute, it does not require the massive resources needed for initial pre-training, making it accessible on standard enterprise hardware like H100s or B200s.",{"title":111,"searchDepth":112,"depth":112,"links":7409},[7410,7411,7412],{"id":7350,"depth":112,"text":7351},{"id":7357,"depth":112,"text":7358},{"id":7399,"depth":112,"text":7400},[119],{"content_references":7415,"triage":7423},[7416,7419],{"type":126,"title":7406,"author":7417,"url":7418,"context":132},"NVIDIA Research","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FFastGen",{"type":126,"title":7420,"author":7421,"url":7422,"context":132},"TRTLM (TensorRT-LLM)","NVIDIA","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FTensorRT-LLM",{"relevance":7161,"novelty":141,"quality":141,"actionability":141,"composite":7424,"reasoning":7425},4.35,"Category: AI & LLMs. The article provides a detailed approach to optimizing video diffusion models for real-time generation, addressing a specific pain point of latency in AI applications. It outlines practical techniques like quantization, caching, and step distillation, making it actionable for developers looking to implement these optimizations.","\u002Fsummaries\u002F1a6b27682bc5657a-optimizing-video-diffusion-for-real-time-generatio-summary","2026-06-16 13:00:06","2026-06-17 12:56:17",{"title":7340,"description":111},{"loc":7426},"1a6b27682bc5657a","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=gHs5ZiY80PM","summaries\u002F1a6b27682bc5657a-optimizing-video-diffusion-for-real-time-generatio-summary",[7254,156,158,157],"https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FgHs5ZiY80PM\u002Fhqdefault.jpg","Achieve real-time video generation by stacking quantization, caching, and step distillation to reduce the standard 50-step denoising process to as few as 1-8 steps.","This presentation outlines three technical strategies for reducing the latency of diffusion models: dynamic quantization, latent caching, and step distillation. The speaker explains how these methods can be combined to achieve real-time generation, with implementation details and tools available in the [FastGen](https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FTensorRT-LLM) repository.",[],"c1TOl0LiL8H8OotgeIMeRvn9YfVIGnuc9eEFEeoKjmg"]