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deepmind.google·6d ago
AI Engineering
DeepMind Blog·Oct 23·5 min read
Bringing AI to the next generation of fusion energy
TL;DR
Fusion energy, which could provide clean and limitless power, requires stabilizing plasma at extremely high temperatures. DeepMind and Commonwealth Fusion Systems (CFS) are using deep reinforcement learning to control tokamak magnets for plasma stabilization.
✦ Why It Matters
Engineers can leverage AI techniques like deep reinforcement learning to tackle complex stabilization problems in high-energy environments.
Key Takeaways
- Utilize TORAX for advanced plasma simulations in your projects.
- Implement reinforcement learning to optimize system performance.
- Collaborate with AI experts to enhance energy efficiency.
- Stay informed on fusion energy advancements for future applications.
How It Works
The collaboration uses TORAX, a differentiable plasma simulator, to model plasma behavior and optimize the SPARC tokamak's performance. By integrating AI techniques like reinforcement learning, the team can explore numerous operational scenarios, rapidly identifying optimal settings for energy production.