Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Dataset Source Code
RadFact: An LLM-based Evaluation Metric for AI-generated Radiology Reporting
RadFact is a framework for the evaluation of model-generated radiology reports given a ground-truth report, with or without grounding. Leveraging the logical inference capabilities of large language models, RadFact is not a single number but a suite of…
Group
Future Experiences
The Future Experiences (FX) research group is an interdisciplinary group of researchers, engineers, scientists, and designers at Microsoft Research who address fundamental issues in human-computer interaction and human-centered AI through prototyping, system-building, design sketching, and…
Dataset Source Code
Cheap Permutations
This repository replicates the experiments of the paper “Cheap Permutation Testing”.
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…