Tag: sensor data


  • New AI Boosts Insight into Fusion Energy Diagnostics

    New AI Boosts Insight into Fusion Energy Diagnostics

    AI Brings a New Eye to Fusion Energy Diagnostics A new artificial intelligence system, Diag2Diag, aims to fill gaps in fusion diagnostics by turning available sensor data into detailed, synthetic information that other sensors would reveal. Led by Azarakhsh Jalalvand at Princeton University and published in Nature Communications, the work demonstrates how AI can align…