Generation, grids and the evidence needed to separate promising control results from deployment.
These are editorial connections, not a chain of causation or a shared score of progress.
Move flexible work between two periods. See carbon and cooling-water tradeoffs change together.
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Move flexible computing into daylight. Discover why a lower carbon estimate can still mean more cooling water.
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%.
Source published 2026-05-07 · DemonstratedNVIDIA’s DSX announcement describes integrating Emerald AI’s power-flexibility reference design with a digital twin for AI infrastructure.
Source published 2025-10-28 · EmergingGoogle 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.
Source published 2025-10-16 · EmergingGoogle 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.
Source published 2025-05-14 · DeployedResearchers used reinforcement learning to control magnetic confinement in a research tokamak.
Source published 2022-02-16 · DemonstratedShort source reports on announced work, early results and emerging uses.
The project targets the computational burden of comparing many grid scenarios. Its speed and reliability targets are project aims, not demonstrated outcomes.
DOE’s Office of Electricity Announces $11.5M Genesis Mission Project · published 2026-09-01Captured 2026-09-06 · a lead, not a verified achievement.Faster triage could give operators more time to investigate and respond to grid cyber incidents.
CESER and Sandia National Lab are Using AI to Safeguard the Electric Grid · published 2026-09-03Captured 2026-09-07 · a lead, not a verified achievement.Move a flexible workload in time and inspect demand, deferred work and the rebound. A transparent illustrative model.
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