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GridSFM | Small Foundation Models for the Power Grid
GridSFM is an open-source framework for neural surrogate modeling of AC Optimal Power Flow (AC-OPF) on realistic approximations of the US power grids, derived exclusively from open data.
视频
Generative AI for High-Stakes Decision-Making with Applications in One Health
With rapid advances in machine learning, data-driven methods have become a powerful tool for decision making. Yet in real deployments, we repeatedly face three bottlenecks: the observational scarcity gap in data, the policy synthesis gap…
微软研究院博客
Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models
MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task model for simulating properties beyond potential energy surfaces alone.