ASMR for developers

Today Gheorghe Comanici & I taught the RL tutorial at EEML summer school! Here is the tutorial we prepared to teach value based methods. Tabular agents are in python & function approximation agents are in JAX using Acme (best viewed in Colab). github.com/eemlcommunity/…

So yesterday I asked you all what you wanted to hear about from me this week, and one answer stood out from all the others: the SINGULAR VALUE DECOMPOSITION (SVD). x.com/genomixgmailco… 1/

Just released a new blog post on the recent approach that will likely supersede GANs in the soon future: Score Matching with Langevin Sampling by @YSongStanford. I explain how the approach works and its pros and cons. ajolicoeur.wordpress.com/the-new-conten…

Some personal news: I'm moving to London next week to join the DeepMind Science team! Super excited to tackle major scientific challenges with machine learning, and also to work with some incredible new colleagues. If in London, don't be shy to say hi 😉

2015: the AI revolution is coming 2020: Geoffrey Hinton Jürgen Schmidhuber

.@DeepMind's incredible AI-powered protein folding breakthrough will help us better understand one of life’s fundamental building blocks + enable researchers to tackle new and hard problems, from fighting diseases to environmental sustainability. deepmind.com/blog/article/a…

If you follow me on Twitter, you probably know that I am pretty allergic to hype, especially around deep learning. So believe me when I say - this is a big f---ing deal. deepmind.com/blog/article/a…

Very proud of this work done by my new colleagues in the protein team. Its a truly incredible achievement!

Cambridge MLG is launching a blog, featuring a first two-part post about what keeps a Bayesian awake at night by Richard E. Turner and me. 🧵 mlg-blog.com

Brief update on some exciting progress on #AlphaFold! We’ve been heads down working flat out on our full methods paper (currently under review) with accompanying open source code and on providing broad free access to AlphaFold for the scientific community. More very soon!

How can #AI help us speed up scientific discovery? We’ve teamed up with @DeepMind to make #AlphaFold protein structure predictions freely and openly available to the scientific community. ebi.ac.uk/about/news/pre… #FAIRdata #structuralbiology #opendata

Also, we've got a Colab for running AlphaFold using our validated genetic search up at: colab.research.google.com/github/deepmin… Have fun! Let me know if you have any issues. #alphafold

An amazing contribution to human knowledge, 350,000 protein structure predictions from AlphaFold 2 including for every protein in a human body.

So excited for this! Visual Complex Analysis by Needham is one of my all-time favourite books.

The #AlphaFold source code has been updated and now accounts for multi-chain protein complexes - providing a significant improvement in accuracy for predicting protein interactions: dpmd.ai/af-multimer-os Generate predictions from your browser via: dpmd.ai/alphafold-colab

We have updated the AlphaFold-Multimer paper and code with a new set of protein complex models trained with an improved loss. These models reduce the number of steric clashes and improve accuracy. Code: dpmd.ai/af-multimer-os Paper: dpmd.ai/alphafold-mult…

we won the Nobel Prize for AlphaFold can't believe it