How to become expert at thing: 1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise) 2 teach/summarize everything you learn in your own words 3 only compare yourself to younger you, never to others

Zero-shot extrapolation for out-of-distribution (OOD) chemical property prediction is an important step towards high-performance materials discovery. Check out our spotlight at the #NeurIPS AI for Accelerated Materials Design Workshop! openreview.net/pdf?id=HkfnueE…

BioEmu is out! 🎉 Very happy to see my internship project, integrating experimental data into biomolecular emulator training (PPFT), featured in the paper. Working with Yu Xie, Frank Noe and the amazing team was such a privilege🥰 Enjoy the paper!! 👇

Our paper has been selected as a spotlight at #NeurIPS2024 AI for Materials. We uncover why generative models are well-suited for materials synthesis prediction and propose a diffusion-based approach, When/Where: Sat 14 Dec 8:15a, West 211-214 openreview.net/forum?id=hy39q…

1. Symmetry-constrained generation of molecules with MCTS: neurips.cc/virtual/2024/1… 2. Dual-scale flow matching for generation of molecular clusters: neurips.cc/virtual/2024/9…

At #NeurIPS2024, Join the D3S3 workshop on Dec 15th. We all will discuss #AInScience, solvers, #NeuralOperators, computational methods, PDEs, PINNs, and #MLonFunctions. And generally the future of AI research and technology. d3s3workshop.github.io/schedule/

📢New preprint out! We constrain the molecular generation space to follow the "symmetry" of patented molecules that are likely to be synthesizable. Achieved with "symmetry-aware" fragment decomposition, and a constrained Monte Carlo Tree Search generator. arxiv.org/abs/2410.08833

Happening now in West Exhibition Hall C!

🚀 DeepSeek-R1 is here! ⚡ Performance on par with OpenAI-o1 📖 Fully open-source model & technical report 🏆 MIT licensed: Distill & commercialize freely! 🌐 Website & API are live now! Try DeepThink at chat.deepseek.com today! 🐋 1/n

We are living in a timeline where a non-US company is keeping the original mission of OpenAI alive - truly open, frontier research that empowers all. It makes no sense. The most entertaining outcome is the most likely. DeepSeek-R1 not only open-sources a barrage of models but

Brain-inspired computing update: DMSE and MIT Nuclear Science and Engineering Profs. Bilge Yildiz, Ju Li & team have developed an artificial synapse that boosts energy efficiency, reliability, and bio-plausibility—advancing the future capabilities of AI. Read more: buff.ly/4gwfkP4

the gap between benchmarks and real-world use cases is…a chasm

Why you should stop working on RL research and instead work on product // The technology that unlocked the big scaling shift in AI is the internet, not transformers I think it's well known that data is the most important thing in AI, and also that researchers choose not to work

Sam Altman on the Paul Graham advice that saved Open AI: “Always make an API” Four years into OpenAI, Sam Altman and the team realized that they would have to build a really big company to fund the development of their increasingly capital-intensive foundation models. “We had

PSA: If you join an overvalued startup, you can actually LOSE money instead of getting paid unless you avoid this mistake. Often, at startups, you are granted options that you "exercise" at the strike price to own them. This 409a price or fair market value (FMV), the price at

We are building AI scientists and the autonomous laboratories for them to operate. Our goal is to accelerate science. Incredibly excited to be a part of this team. Read more about us Periodic Labs, on our website and in this NYT article.

Updated thoughts after the Sora 2 release: OpenAI is building a social network (like the OG Instagram) and not a content network (like TikTok). They're letting users generate video memes starring themselves, their friends, and their pets. And it sounds like your feed will be

As someone who works in cancer research and spent significant portion of his life dedicated to this, I support Sam’s point. The “spend less on entertainment, cure cancer” take sounds simple and feels good. It is also wrong. The notion that you should devote all AI power to