Max Jaderberg
@maxjaderberg
Chief AI Officer @IsomorphicLabs
Super excited to be releasing AlphaFold 3 today, developed by @IsomorphicLabs and @GoogleDeepMind: our next generation AI model for predicting the biomolecular structures and interactions of proteins, DNA, RNA, small molecules, and more: bit.ly/44yfaCw 1/
Truly deserved!
Meet the recipients of the 2024 ACM A.M. Turing Award, Andrew G. Barto and Richard S. Sutton! They are recognized for developing the conceptual and algorithmic foundations of reinforcement learning. Please join us in congratulating the two recipients! bit.ly/4hpdsbD
🚨🚨Today we begin the search for @ARIA_research's next CEO It's not often you get to hire for a role that you believe is not only someone's dream job, but genuinely one of the highest impact opportunities in the world... but this is it.. 🧵🧵
Big news: we’re kicking off the search for ARIA’s next CEO. This is a once-in-a-lifetime opportunity to lead one of the most ambitious orgs in science and tech. 1/8
We're excited to welcome Dr. Ben Wolf, M.D., Ph.D., as our new Chief Medical Officer at Isomorphic Labs! Dr. Wolf brings nearly 20 years of biopharmaceutical experience to the team, and will be based in our new Cambridge, Massachusetts location as we advance therapeutic programs…
World models feel so surreal. All roads lead to a world simulator, where the pixels you see and actions you can take feel so real to you that you can barely tell the difference, if at all. It's going to get really weird really fast!
We’re at MLSys next week and would love to chat. We have so much opportunity to scale our training and inference infra and performance engineering
We’re at MLSys in Santa Clara, California from May 12–15, and we’d love to talk to you. Register to connect with us here: bit.ly/4m3M2eK At Isomorphic Labs, we’re scaling, which means building both a world-class research team and a world-class engineering team to…
Why greatness cannot be planned is a book I consistently recommend to everyone, with many important and simple ideas if you are wanting to tread an untrodden path. No technical background needed.
Tim Rocktäschel’s keynote talk at #ICLR2025 about Open-Endedness and AI. “Almost no prerequisite to any major invention was invented with that invention in mind.” “Basically almost everybody in my lab at UCL and at DeepMind have read this book: Why Greatness Cannot Be Planned.”
Join @MHutchinson141 and me at #ICLR2025 for the FPI and LMRL workshops as we share how @IsomorphicLabs is using machine learning to advance drug discovery. We’re also hiring! Register your interest here to meet with our team: rsvp.withgoogle.com/events/isomorp… #IsomorphicLabs
On @60Minutes, @demishassabis w/@ScottPelley on the potential for A.I. vs diseases cbsnews.com/news/artificia… "I think that's within reach. Maybe within the next decade or so, I don't see why not."
Who’s going to be at ICLR? There’s lots of opportunity to chat with us in Singapore!
Here’s what Isomorphic Labs has planned for #ICLR2025. Don’t miss your chance to connect with us in Singapore! Fast track hiring - Interview with us and you could receive an offer on the spot! (23/04) Live talk - Michael & Agnieszka share the latest on Isomorphic Labs (24/04,…
@maxjaderberg and I recorded a podcast with @noahkravitz @NVIDIAGTC earlier this year. We talk about our journey at @IsomorphicLabs, how we built our AI drug design engine, how we use it for our drug design programs, and what we learned along the way. blogs.nvidia.com/blog/isomorphi…
And we are looking for incredible scientists and engineers to build this generational new technology with. This is an amazing time to join our team as we push the next frontier of models
Very excited to be announcing our new $600M investment in @IsomorphicLabs led by @ThriveCapital with @GVteam and Alphabet. We have been creating an incredible AI drug design engine…there is so much opportunity to solve all disease and bring breakthrough medicines to patients!
Excited to share our latest paper and my first since joining IBM arxiv.org/abs/2503.09683! Here we show how to practically prepare MPS with short-range correlations in shallow, high-fidelity circuits 🧵
Introducing SkipPipe SkipPipe is a new communication-efficient, pipeline-parallel training method. It reduces distributed training time by up to 55% and is scalable to theoretically infinite model size. Today, we're open sourcing it to push the frontier of decentralised ML.
This is very cool, one of the essential pieces for decentralised training
Introducing Verde Verde is a high-scale verification system for machine learning over untrusted nodes. It ensures correct execution of ML operations across any device in the world, from data centres to the edge. It operates at runtime and doesn't require any onboarding.