Discover an index of datasets, SDKs, APIs and open-source tools developed by Microsoft researchers and shared with the global academic community below. These experimental technologies—available through Azure AI Foundry Labs (opens in new tab)—offer a glimpse into the future of AI innovation.
RadEdit is a latent diffusion model trained to generate and edit chest X-rays from medical reports. It is described in detail in RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing (F. Pérez-García, S. Bond-Taylor, et…
RosettaFold3 (RF3) is a unified biomolecular modeling system that predicts 3D structures of proteins, nucleic acids, and small molecules within a single framework. Combining multimodal transformers and generative diffusion models, RF3 enables precise modeling of…
Prototype experimenting with agents in a grid UI — simple, open experiment that illustrates how agent workflows might live in a grid-like surface.
Magentic Marketplace is an open-source simulation environment for exploring the numerous possibilities of agentic markets and their societal implications at scale. It provides a foundation for studying these markets and guiding them toward outcomes that benefit everyone.
MMCTAgent (Multi-modal Critical Thinking Agent) is a state-of-the-art multi-modal AI framework that brings human-like critical thinking to visual reasoning tasks. it combines advanced planning, self-critique, and tool-based reasoning to deliver superior performance in complex image…
Open Source fuels the AI for Good Lab’s mission by providing research tools, data, and code that drive innovation, foster collaboration, and enhance accessibility for the global community. Explore our full library of resources to…
MCP Interviewer is a Python CLI tool that helps you catch MCP server issues before your agents do. The MCP Interviewer ensures compliance with provider constraints and offers warnings when recommended guidance is not followed, while…
