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I'm excited to announce that I've joined DeepMind! I'll be a research scientist in Oriol Vinyals 's Deep Learning team.

New Article: "HEBO: An Empirical Study of Assumptions in Bayesian Optimisation" by Cowen-Rivers, Lyu, Tutunov, Wang, Grosnit, Griffiths, Maraval, Jianye, Jun Wang, Peters and Bou-Ammar jair.org/index.php/jair…

Today in partnership with EMBL-EBI, we’re releasing predicted structures for nearly all catalogued proteins known to science, which will expand the #AlphaFold database by over 200x - from nearly 1 million to 200+ million structures: dpmd.ai/AF-22-TW 1/

What do you think about papers with good results, good writing, but terribly formatted figures? Do you care? Well, I do, and I find this scenario especially disappointing because almost always, "pip install tueplots" + one line of Matplotlib code would've fixed it. 🤫

🌟🌟My team at Google X is hiring! We're looking for someone in {Proteins}∩{ML}, to apply Transformers/LLMs to protein design. (We're doing some really really cool stuff.🤖) DM me + apply here: x.company/careers-at-x/5… This could be you!

This time, it is An amazing work from my team!! We have finally open sourced antbo s code !!! We have so many baselines as well!! Have fun making antibodies 😁 github.com/huawei-noah/HE… #ai #MachineLearning 🎉🎉🎉🎉🎉🎉🎉

Couldn’t be more excited to have my first day at @DeepMind working in the #AlphaFold improvements team!

🧮 I finally spent some time learning what exactly Neural Tangent Kernel (NTK) is and went through some mathematical proof. Hopefully after reading this, you will not feel all the math behind NTK is that scaring, but rather, quite intuitive. lilianweng.github.io/posts/2022-09-…

Pleased to say @DeepMind has just released a code update to #AlphaFold 2. This includes updated model weights trained on newer data, minor changes to the codebase to inference larger proteins and predictions for the #CASP15 targets. Find out more: github.com/deepmind/alpha…

Defense of PhD candidate #31. Congratulations, Alexander Cowen-Rivers!

Toward real-world automated antibody design with combinatorial Bayesian optimization dlvr.it/SgLG8p

Excited to show a glimpse of the next generation of AlphaFold from our teams at Isomorphic Labs and Google DeepMind. This model expands beyond proteins to include other molecules like small molecules and nucleic acids, and improves accuracy on proteins 1/n bit.ly/45Qt4yT

New! We’ve just put up a note evaluating the latest, in-development version of AlphaFold (“AlphaFold-latest”). This is a preview - development is still in progress - but performance across a wide range of tasks is striking. deepmind.google/discover/blog/… Highlights in the thread. 1/7

Very excited to share an update on what we've been working on at GDM and Iso - the latest version of AlphaFold!🧬⚛️

The #AlphaFold 3 model code and weights are now available for academic use. We Google DeepMind are excited to see how the research community continues to use AlphaFold to address open questions in biology and new lines of research. github.com/google-deepmin…