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…
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…
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,…
Project Amelie
With Project Amelie, we are unveiling our first Foundry autonomous agent that can perform machine learning engineering tasks. ML teams can use the agent to initiate complex machine learning tasks using prompts —such as, “Help…
Deep learning for DFT
In Density Functional Theory, the exchange correlation functional captures the complex relationship between its input—the electron density — and its output: the exchange-correlation energy. The electron density is represented as a large, irregular point cloud,…
DFT for drug and material discovery
Density Functional Theory (DFT) is the workhorse method in chemistry and physics for predicting the formation and properties of molecules and materials. Among many other applications, it plays a crucial role in screening pipelines for…
Breaking bonds, breaking ground: Advancing the accuracy of computational chemistry with deep learning
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug…
What is Density Functional Theory (DFT)?
In this video, Microsoft’s Chris Bishop, Technical Fellow and Director of Microsoft Research AI for Science, explains how Microsoft researchers achieved a breakthrough in the accuracy of density functional theory (DFT) and the challenges they…