Microsoft Research Introduces MatterSim-MT — A Multi-Task AI for Materials
MatterSim-MT expands AI capabilities in materials simulation, enabling the prediction of complex physical properties that go beyond conventional models.
Tag
9 English Kalera News articles tagged Microsoft Research — source-backed.
MatterSim-MT expands AI capabilities in materials simulation, enabling the prediction of complex physical properties that go beyond conventional models.
Microsoft Research has shared its new research focus areas, which include cloud efficiency, cost reduction for agentic systems, 3D telemedicine, and promoting inclusive AI in Africa.
A new study finds that while AI agents excel at specific tasks, they often fail to improve the user's position in social situations.
Microsoft Research has announced the GridSFM model, which is capable of predicting power grid flows in milliseconds, helping to optimize global energy systems.
Microsoft Research has announced MagenticLite, an AI agent framework optimized for small language models (SLMs) that enables seamless task execution between web browsers and local computers.
Microsoft Research introduces MatterSim-MT, a new multi-task AI model capable of accurately predicting physical properties of materials, significantly supporting real-world experimental processes.
At the NSDI 2026 conference, Microsoft shared solutions for optimizing network infrastructure and large-scale distributed systems to meet the massive processing demands of AI.
Microsoft Research Asia has announced the Global AI Values Challenge, a global initiative inviting researchers to assess whether AI can reason about human values within complex, real-world contexts.
The Vega initiative from Microsoft Research delivers a breakthrough method that transforms credential information into a single cryptographic proof, protecting privacy by sharing only the strictly necessary data.