Towards fusion energy with the help of AI | UN IAEA | AI FOR GOOD WEBINARS
21The goal of nuclear fusion as a viable energy source requires successful control of the nonlinear and unstable dynamics of plasmas – a hot, charged gas made of positive ions and free-moving electrons that has unique properties distinct from solids, liquids, and gases, at higher pressures and time scales than has been achieved so far. Existing fusion experiment control strategies focus on using a collection of single-variable control loops tracking hand-crafted target trajectories.
Recently, AI methodologies and reinforcement learning algorithms have seen huge improvements in the scale and complexity of problems they can solve, especially in cases where large amounts of training episodes are available. At the same time improved machine learning-based modeling of plasma dynamics from experimental data and improved plasma simulations offer the possibility of being able to provide these quantities training episodes, thus reducing the amount of reinforcement learning training time needed on real devices to an amount that is feasible. This AI for Good session invites some of the key developers and nuclear fusion R&D leaders in this area to discuss the vision and path forward to fusion energy with the help of AI.
Moderator:
Matteo Barbarino, Nuclear Fusion Specialist, International Atomic Energy Agency (IAEA) @IAEAvideo
Speakers:
Cristina Rea, Research Scientist, MIT
Jeff Schneider, Professor, Carnegie Mellon University
Michl Binderbauer, CEO, TAE Technologies
Jonas Buchli, Research Scientist, @Google_DeepMind
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The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.
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The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
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