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GridSFM: A new, small foundation model for the electric grid

GridSFM: A new, small foundation model for the electric grid

Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct visibility into congestion, stability, and system health. The post GridSFM: A new, small foundation model for the electric grid appeared first on Microsoft Research.

Microsoft Research
Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models

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. The post Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models appeared first on Microsoft Research.

Microsoft Research
SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests

SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests

Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently improve the user’s position, even with explicit instructions to optimize for user interest. The post SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests appeared first on Microsoft Research.

Microsoft Research
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