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

Postingan terbaru

Prof. Anima Anandkumar ✓@AnimaAnandkumar27 Aug

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 Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar26 Aug

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 Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar25 Aug

@AnimaAnandkumar This is an important milestone for materials science. Congratulations on this breakthrough! 2.1K views · 21 likes · 0 reposts · 0 replies Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar25 Aug

@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 Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar25 Aug

Check out more on our website: https://t.co/JZ06NjoPyh 16.2K views · 73 likes · 2 reposts · 4 replies Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar25 Aug

@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 Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar25 Aug

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 Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar25 Aug

@AnimaAnandkumar 7k -> 1 gpu is a big leap! 2.2K views · 11 likes · 0 reposts · 0 replies Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar24 Aug

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 Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar21 Aug

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 Open on X →

Prof. Anima Anandkumar ✓@AnimaAnandkumar19 Aug

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 Open on X →

Dibandingkan akun berukuran sama

11 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan9 207akun ini924median untuk 10K–100K

Jangkauan, %20.65%akun ini3.62%median untuk 10K–100K

Interaksi, %0.95%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	9 207	924	9.96×
Jangkauan (tayangan ÷ pengikut)	20.65%	3.62%	5.71×
Tingkat interaksi	0.95%	1.52%	0.62×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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