Microsoft Research
Microsoft Research is dedicated to conducting fundamental and applied research in computer science and software engineering to advance the state of the art and solve global challenges.
At a Glance
- Internal Microsoft Product Teams
- Academic and Scientific Community
- Enterprise Developers
- Public Sector and Government
AI Tools by Microsoft Research
(3)
Ontology Playground
Ontology Design and Explorer Tool
Flint Chart
AI Chart Spec Language for Agents
AutoGen
Open Source Multi-Agent Framework
Discussions
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Latest News
Igor Tsyganskiy Appointed to Lead Microsoft Research
Microsoft Introduces Next-Gen AI Accelerator: Maia 200
Microsoft Announces Next Chapter of Partnership with OpenAI
Microsoft Introduces Majorana 1 Chip for Quantum Computing
Products & Services
A free, open-source web application for learning about and designing ontologies visually, integrated with Microsoft Fabric IQ.
An end-to-end platform for agriculture that enables seamless data collection from various sensors, cameras, and drones.
A system that aims to detect pathogens in the environment before they cause outbreaks by using mosquitoes as digital sensors.
A full-stack open cloud ecosystem for quantum computing solutions.
Market Position
Positions itself as one of the world's leading industrial research labs, competing with Google Research, Meta AI Research, and IBM Research.
Leadership
Founders
Nathan Myhrvold
Former Chief Technology Officer at Microsoft; Co-founder of Intellectual Ventures.
Rick Rashid
Former Professor of Computer Science at Carnegie Mellon University; served as head of Microsoft Research for over 20 years.
Executive Team
Igor Tsyganskiy
Executive Vice President and Leader of Microsoft Research
Global CISO of Microsoft; former CTO at Bridgewater Associates.
Peter Lee
President, Microsoft Science
Former Corporate Vice President and Head of Microsoft Research; former director at DARPA.
Board of Directors
Founding Story
Founded by Nathan Myhrvold and Bill Gates to create a unique corporate research environment that balances academic-style open inquiry with technology transfer to product teams.
Business Model
Revenue Model
Cost center; technology transfer to revenue-generating Microsoft product divisions.
Target Markets
- Internal Microsoft Product Teams
- Academic and Scientific Community
- Enterprise Developers
- Public Sector and Government
- Technology transfer to Microsoft products (Azure, Office, Bing)
- Academic and scientific discovery
- Open-source community development
- Solving complex societal problems through computing
- Microsoft Product Teams
- Academic Research Institutions
- Government Research Agencies