Prof. Anima Anandkumar ✓
@AnimaAnandkumar · joined 15 May 2021
AI+Science, Bren Professor @caltech, Time100, Fmr Sr Director of #AI research @nvidia Fmr Principal Scientist @awscloud
44 580Followers
2 452Following
2 678Posts total
386.1KViews on collected posts
Последние посты
Ищем новые посты…
Honored to be named one of the 100 most influential people in AI by @TIME right on the heels of the public launch of our company Accelerated Understanding @accelerated_u
Bringing the power of AI+Science together has been the focus of my life for the past decade. I believe the h
74.5K views · 1.1K likes
· 105 reposts · 129 replies
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Was fun to be on the @latentspacepod podcast a few weeks ago to talk about AI for physical simulation and understanding. This pre-dates the public launch of @accelerated_u so I couldn't yet talk the exact details but hint at what happens if you scale some of these methods to
7.9K views · 94 likes
· 11 reposts · 5 replies
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@AnimaAnandkumar This is an important milestone for materials science. Congratulations on this breakthrough!
2.1K views · 21 likes
· 0 reposts · 0 replies
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@AnimaAnandkumar @Reuters The quest for 100% prediction accuracy continues.
Very interesting endeavor. Good luck.
https://t.co/nv9qcJL5lR
2.5K views · 12 likes
· 0 reposts · 0 replies
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Check out more on our website: https://t.co/JZ06NjoPyh
16.2K views · 73 likes
· 2 reposts · 4 replies
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@AnimaAnandkumar That sounds amazing.
However, an important question is: which DFT model chemistry is it reproducing? DFT models can be improved by changing basis sets and functionals, and some combinations are more appropriate for certain systems but not for others.
2.4K views · 15 likes
· 0 reposts · 2 replies
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Excited to see @Reuters cover the launch of our startup Accelerated Understanding.
We are training large scale AI models that can simulate and understand physics to invent and discover. Our models understand the world directly in 4D (3D + time) and across physical phenomena.
114.4K views · 976 likes
· 122 reposts · 68 replies
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@AnimaAnandkumar 7k -> 1 gpu is a big leap!
2.2K views · 11 likes
· 0 reposts · 0 replies
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Tackling a 60-year-old challenge in quantum chemistry: making density functional theory scale nearly linearly with system size.
This has huge implications for opening the door to realistic systems that have traditionally been too expensive to simulate.
AI has attempted to https
141.8K views · 1.1K likes
· 172 reposts · 37 replies
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If an AI reaches a point where its predictions of the physical world are 100% accurate and it takes actions exactly as predicted, then time would become non-linear for the AI.
It would be able to direct attention to the past, present, and future simultaneously.
9.2K views · 75 likes
· 2 reposts · 5 replies
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LLMs have a big blind spot: they lack innate understanding of physical world.
This becomes very evident when we zoom into the quantum realm, the complexity of quantum dynamics and the cost of steering it grows exponentially.
Fourier Neural Operator (FNO) becomes an important ht
12.8K views · 236 likes
· 30 reposts · 8 replies
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На фоне аккаунтов своего размера
11 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.
Медианные просмотры9 207этот аккаунт924медиана для 10K–100K
Охват, %20.65%этот аккаунт3.62%медиана для 10K–100K
Вовлечённость, %0.95%этот аккаунт1.52%медиана для 10K–100K
| Показатель | Этот аккаунт | Медиана для 10K–100K | Отношение |
|---|---|---|---|
| Медианные просмотры на пост | 9 207 | 924 | 9.96× |
| Охват (просмотры ÷ подписчики) | 20.65% | 3.62% | 5.71× |
| Вовлечённость | 0.95% | 1.52% | 0.62× |
Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
12.8K19 Aug
9.2K21 Aug
141.8K24 Aug
2.2K25 Aug
114.4K
2.4K
16.2K
2.5K
2.1K
7.9K26 Aug
74.5K27 Aug
Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
2.15%19 Aug
0.90%21 Aug
0.95%24 Aug
0.54%25 Aug
1.05%
0.72%
0.50%
0.47%
1.02%
1.39%26 Aug
1.78%27 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes61.8%3 695 in total
Reposts7.4%444 in total
Replies4.3%258 in total
Quotes1.5%91 in total
Bookmarks24.9%1 491 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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