Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Science Foundation Model
We develop the Science Foundation Model to empower natural scientists and accelerate breakthroughs in scientific discovery. As part of this effort, we introduce the sequence-based model, Nature Language Model (NatureLM). NatureLM is designed to span…
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EfficientXLang
This codebase is the official implementation of “EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning.”
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Introducing GIRAFFE—Generalized Image-based Re-Identification using AI for Fauna Feature Extraction
We’re proud to announce the launch of GIRAFFE (Generalized Image-based Re-Identification using AI for Fauna Feature Extraction)—an open-source AI tool developed by Microsoft’s AI for Good Lab, in partnership with the Wild Nature Institute, to…
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EvoDiff
EvoDiff is a general-purpose diffusion framework that combines evolutionary-scale data with the distinct conditioning capabilities of diffusion models for controllable protein generation in sequence space. EvoDiff generates high-fidelity, diverse, and structurally-plausible proteins that cover natural…
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PEACE
PEACE enhances multimodal large language models (MLLMs) with geologic expertise, enabling accurate interpretation of complex, high-resolution maps. By integrating structured extraction, domain knowledge, and reasoning, it supports critical tasks in disaster risk, resource discovery, and…
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MCP Server
The MCP Server for Azure AI Foundry Labs is designed to supercharge team velocity in adopting and evaluating breakthrough AI research. By equipping GitHub Copilot with custom tools for intelligent model discovery, tailored implementation guidance,…