May 12, 2026
Fusion may become one of AI’s toughest real-world challenges.
Unlike internet-scale AI systems trained on abundant digital data, fusion research works with data that is scarce, expensive to generate, fragmented across decades of legacy systems, and tied to highly dynamic physical processes.
At the ITER Public-Private Fusion Workshop, experts from ITER, NVIDIA, NTT Data Italy, and Gaia Lab discussed how AI is already helping with:
⚡ plasma simulation
⚡ predictive maintenance
⚡ digital twins
⚡ construction optimization
⚡ future real-time reactor control
One striking idea: ITER is developing a fusion “world model” trained on decades of tokamak data to predict machine behavior before it happens.
Fusion isn’t just another AI use case. It may help shape the next generation of AI itself.
Read more https://www.iter.org/node/20687/how-fusion-teaching-ai-new-tricks-iter