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…