The event is a live presentation and networking session focused on using artificial intelligence and reinforcement learning for stable and efficient fusion energy production in tokamak machines. The objective is to demonstrate how AI can control the DIII-D tokamak to lower the possibility of disruptive tearing instabilities, thus facilitating automated instability prevention. This event is intended for researchers, practitioners, and enthusiasts in the fields of AI, fusion energy, and plasma physics. The event includes a 15-minute networking opportunity for participants to engage with panelists and build connections within the AI for Good community.
Date and Time: 25 June 2024 at 11:00-12:00 CEST Geneva | 06:00-07:00 EDT, New York | 18:00-19:00 CST, Beijing
Location: Online
