Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Publication
RadPhi-3: Small Language Models for Radiology
Microsoft Research Blog
Introducing Yasuyuki Matsushita: Tackling societal challenges with AI at Microsoft Research Asia – Tokyo
Yasuyuki Matsushita rejoins Microsoft to lead the new Microsoft Research Asia – Tokyo lab. Learn more about his journey and his perspective on the Tokyo lab’s role in evolution of AI.
Video
Introducing BiomedParse, a groundbreaking foundation model for biomedical image analysis
Image analysis is fundamental for clinical diagnostics and biomedical discovery. In this video, we introduce BiomedParse, a biomedical foundation model for holistic image analysis that can jointly conduct recognition, detection, and segmentation for 64 major…
Group
Microsoft Research Asia – Tokyo
Microsoft is reinforcing its commitment to advancing AI research and innovation across the Asia-Pacific region with the opening of Microsoft Research Asia – Tokyo. The Tokyo lab will focus on critical areas that reflect Japan’s…
Microsoft Research Blog
BiomedParse: A foundation model for smarter, all-in-one biomedical image analysis
BiomedParse reimagines medical image analysis, integrating advanced AI to capture complex insights across imaging types—a step forward for diagnostics and precision medicine.
Publication
Dimensions of Generative AI Evaluation Design
Microsoft Research Blog
GraphRAG: Improving global search via dynamic community selection
Retrieval-augmented generation (RAG) helps AI systems provide more information to a large language model (LLM) when generating responses to user queries. A new method for conducting “global” queries can optimize the performance of global search…
