Princeton's AI Innovation Fills Gaps in Fusion Research
Scientists at Princeton and their international partners have unveiled an AI-powered tool, Diag2Diag, which offers a new perspective on fusion research. By generating synthetic data to fill in gaps left by traditional sensors, this AI could streamline the design of future fusion reactors, making them more compact and cost-effective.