Power, compute, the systems we share. A place to discover developments quickly, then stay with the questions that matter to you.
Newest source publications first. These are source dates, not live activity.
Google DeepMind reported that AlphaEvolve improved a trained graph neural network's ability to find feasible solutions to the AC Optimal Power Flow problem from 14% to more than 88%.
Demonstrated · Google DeepMind / Google ResearchNVIDIA’s DSX announcement describes integrating Emerald AI’s power-flexibility reference design with a digital twin for AI infrastructure.
Emerging · Emerald AI / NVIDIAGoogle DeepMind and Commonwealth Fusion Systems announced a partnership in which CFS uses the open-source TORAX plasma simulator in daily workflows to test and refine SPARC operating plans before the tokamak is turned on.
Emerging · Google DeepMind / Commonwealth Fusion SystemsGoogle DeepMind reported that an AlphaEvolve-discovered scheduling heuristic had been in production for more than a year and continuously recovered an average 0.7% of Google's worldwide compute resources.
Deployed · Google DeepMind / GoogleResearchers used reinforcement learning to control magnetic confinement in a research tokamak.
Demonstrated · EPFL & DeepMind