Research
Bridging Applied Research with Real-World Systems & Scenarios to define the future of Enterprise Productivity The M365 Research Agentic Innovation team bridges applied research with real-world systems and scenarios to define the future of enterprise productivity. Our efforts are organized around three strategic domains —…
How Microsoft is using science and research to invent the future of collaboration Collaboration is a central feature of how work gets done, involving coordination across people, tasks, and information sources. As AI systems increasingly contribute to shared workflows—synthesizing discussions, generating alternatives, maintaining context, and…
Agents for Productivity (A4P) Our mission AI agents are becoming central to how people get work done, but today’s systems still fall short on reliability, context retention, and real world workflow execution. The Agents for Productivity (A4P) initiative advances the core research needed to enable…
Advancing human health through machine learning research. The Health Futures UK team pursues machine learning research in service of advancing human health and our understanding of medicine. Drawing on our expertise in medical imaging and multimodal deep learning, our work spans healthcare delivery and fundamental…
Science + Innovation for Next-Gen Productivity IDEAS Research is the applied science team in IDEAS, the central data organization in Microsoft's productivity division. Our mission is to advance the frontier of human productivity in the AI era. We work at the intersection of computer and…
Advanced machine learning research, grounded in trust, efficiency, capability. The Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in trust, capability, and efficiency, and we…
Developing knowledge, model capabilities, and experiences that centre human values. People-Centric AI develops knowledge, model capabilities, and experiences that enable human agency and skill, support creativity and collaboration, and ensure equitable representation and participation. We do this by blending research disciplines, design, and engineering. A…
Innovative hardware and systems for sustainable and efficient AI infrastructure Our mission in Future AI Infrastructure is to co-design the next generation of hardware and systems for Microsoft’s AI and Cloud datacenters—spanning storage, networking and compute, and other foundational technologies for our AI stack. We…
Shaping the future of content and collaboration in OneDrive and SharePoint The ODSP Applied Science team is shaping the future of content and collaboration by transforming OneDrive and SharePoint into a planet-scale, AI-native knowledge substrate, with security, privacy, and responsibility at its core. We're redefining…
The AI Economy Institute (AIEI) is Microsoft’s flagship think tank dedicated to shaping an inclusive, trustworthy AI economy. We building a network of scholars and convening that network with our subject matter experts to explore how artificial intelligence is transforming work, education, and productivity –…
Reimagining AI efficiency from GPU kernels to context engineering to power Copilot-scale intelligence.
The mission of the Frontier Tuning Research and Applied Science teams is to develop principled methods for enabling AI systems to learn and operate within the structure of real-world organizational workflows. We focus on reinforcement learning in complex, partially observed environments, integrating enterprise data, tool…
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