Thrilled to share something that I helped kick off two years ago now - the first end-to-end differentiable simulator of tokamak heat transport! If you're scratching your head after reading that sentence, let me explain a bit about why this matters...
I’m ending my Twitter break to share what I’ve been working on for the last two years - a new way to solve one of the most fundamental problems in quantum physics, computing excited states! https://t.co/0BxvatMrPB
Very happy to have this out. For anyone interested in keeping up with all the new methods building on FermiNet, PauliNet and Neural Network Quantum States, this review is a great place to start 👇
“This data release is the first of many..." @Inside_PM reports on our newly announced massive #openscience#Alzheimers data release capturing large-scale cellular and molecular information gleaned from more than 1.2 million brain cells. https://t.co/MTfMW9nh97 #AllenImpact
Understanding the cause of #Alzheimers disease is a big step toward treatments & prevention. With @NIHAging support, @AllenInstitute, @UWMedicine & @KPWaResearch collaborators are releasing #openscience data detailing disease changes on a cellular level.
https://t.co/h6XUmtXxIl
A year ago we open-sourced #AlphaFold
Today we're freely sharing the predicted structures of all 200M+ proteins known to science - almost the entire protein universe!
It's our gift to humanity, and a demonstration of the benefits AI can bring to society
https://t.co/G8vj8sbTcN
Pleased to have our collaboration lead by @kallaway14 and @mgabitto out in Nature. Answers the question of how PV and SST interneurons which couldn’t be less similar arise from a common lineage and genetic program. A fantastic collaboration with @RichBonneauNYU
New on https://t.co/sInc4TxNw1: Predistribution vs Redistribution: Evidence from France & the US
Higher equality derives chiefly from more equal access to education/health/wealth/workers rights & a better distribution of bargaining power in society
https://t.co/BisCso8rtn
Ever been frustrated by the sparsity of your scATAC-seq data? Our #ICBLunchtimeSeminar featured Mariano Gabitto @MGabitto, Flatiron Institute, showing us how he obtains robust units of open chromatin data using statistical modeling and prior knowledge nucleosome size in ChromA!
Tune in tomorrow for the ICML workshop on machine learning for scientific discovery! Amazing speakers presenting on ML in medical imaging, astronomy, genetics, materials science, and behavioral science. More info here https://t.co/mCXcAganuV live stream: https://t.co/WZI4cbqrTl