Excited to announce the release of TORAX, a tokamak transport simulator from our @GoogleDeepMind Fusion team! #fusionenergy
- Open-source: https://t.co/QCobr8mTsJ
- Uses JAX: fast, differentiable
- Easy coupling of ML-surrogates
Hot off the press → https://t.co/oXHakB8wBb
Proud of the great success of the latest edition of the intensive doctoral course on Control & Operations of Tokamaks, with a record number of participants from around the world! Thanks to all the dedicated students, assistants and…https://t.co/DLol2arMCE https://t.co/Cf7JCVYXRm
Feeling proud and honoured that our recent work on Deep Reinforcement Learning for Tokamak Magnetic Control, performed in collaboration with DeepMind, has been selected as Finalist for the Falling Walls Science Breakthroughs of the…https://t.co/BeLwOzWR6d https://t.co/c0PZnL5Vbf
Tonight I'll be presenting our recent paper on use of reinforcement learning to control a nuclear fusion plasma at the (online) Clubhouse Science Society! Join us at 19CET to learn more about this work and to pitch your questions.…https://t.co/evH7NplUzt https://t.co/NmYRXDvyIh
Scientists at EPFL’s Swiss Plasma Center & @DeepMind have developed a new magnetic control method for plasmas based on deep reinforcement learning and applied it to a real-world plasma for the 1st time in the @TCV_tokamak research facility. #nuclearfusion
https://t.co/VStZPEbfUP
Very happy to share my secret project for the last 3 years: we were busy getting AI to run a nuclear fusion reactor. Spoiler alert: it works!
Deep reinforcement learning is pretty great at working with sci-fi things where human intuitions tend to break down.
Today in @nature, with @EPFL, the first deep reinforcement learning system that can keep nuclear fusion plasma stable inside its tokamaks, opening new avenues to advance nuclear fusion research.
Paper: https://t.co/UdIIfNgaap
OK, this is one I’ve been waiting to share for a *long* time – the first ever demonstration of deep reinforcement learning on a nuclear fusion research device! https://t.co/HVfUCrMTlM
Researchers from @EPFL_en and @DeepMind are developing AI to control plasmas in #fusionresearch. "This article truly presents a breakthrough in the use of machine learning in the fusion context," judges IPP director Thomas Sunn Pedersen. #fusionenergy https://t.co/0ugmf6r1zj
Thrilled to announce our paper in Nature on using reinforcement learning for magnetic control of the TCV tokamak! Proud of this great collaboration between @epfl and @Deepmind
#fusionenergy#fusionresearch https://t.co/vd6pQRNMrr…