Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Event
Mathematical foundations of AI workshop
The workshop on the mathematical foundations of AI, hosted by Microsoft Research Cambridge, brings together researchers from academia and industry to explore emerging directions and open challenges.
Event
Advancing the science of AI agent evaluation and governance
On October 22–23, 2026, Microsoft Research and Carnegie Mellon University’s AI Measurement Science & Engineering Center (AIMSEC) will convene 120 key leaders across academia, industry, civil society, and government to define shared standards and measurement science for evaluating and governing…
Video
AI World Models for Memory, Meaning, and Human Futures
Interactive world models are emerging as a new design material, enabling people to become creators by transforming their personal data into explorable visual worlds. Moving beyond traditional world-model applications in gaming, robotics, and autonomous-driving simulations,…
Microsoft Research Blog
Simulating student learning for better AI tutoring
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like…
Career Opportunity
Senior Researcher: Machine Learning for Intelligent Systems
The Machine Intelligence team at Microsoft Research Cambridge conducts foundational machine learning research across learning algorithms, model architectures, intelligent systems, and efficient AI. We are seeking a Researcher to join our programme of research on…
Microsoft Research Blog
Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without…
