Massachusetts-based energy startup Commonwealth Fusion Systems (CFS) has struck a deal to deliver 200 MW of electricity to ...

Multimodal machine learning (MMML) applications combine results from different modalities in the inference phase to improve prediction accuracy. Existing MMML fusion strategies use static modality ...

Fusion holds great potential for a cleaner and more sustainable energy future and ensuring its safe deployment is crucial, according to experts at a recent technical event. “For several years, the ...

Multi-sensor distributed fusion estimation algorithms based on machine learning are proposed in this paper. Firstly, using local estimations as inputs and estimations of three classic distributed ...

Dignitaries formally inaugurate the beginning of FLARE operations. From left: Vyacheslav (Slava) Lukin; Hantao Ji, PPPL physicist and FLARE’s principal investigator; Brandon Thorne, director of ...

Many fusion projects today use a different machine called a tokamak, which relies on symmetrical, doughnut-shaped magnetic fields. This technology is at the heart of major international projects ...