Building intelligent machines that complement human reasoning and extend what people can do. Aurora 1.5: Extending open foundation models for weather and Earth-system applications OptiMind: When the system meets the floor Can we AI our way to a more sustainable world? [Podcast] Microsoft Research Forum 第 1 – 10 条结果（共 13555 条结果） NI Sampling++: Optimizing Token Order for Fast Discrete Diffusion Sampling with Reinforcement Learning Enshu Liu, Theodore Zhengde Zhao, Xuefei Ning, Zinan Lin , Yu Wang 2026 COLM | December 2026 Language model goal selection differs from humans’ in a self-driven learning task Gaia Molinaro , Dave August, Danielle Perszyk, Anne G. E. Collins NeurIPS | December 2026, 第 39 卷 WorkflowPerturb: Calibrated Stress Tests for Evaluating Multi-Agent Workflow Metrics Madhav Kanda, Sharad Agarwal , Rodrigo Fonseca , Alok Kumbhare , Pedro Las-Casas EMNLP Industry Track | October 2026 Mathematical foundations of AI workshop

即将到来：October 23, 2026 | 21 Station Road, Cambridge, CB1 2FB 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. Advancing the science of AI agent evaluation and governance 即将到来：October 22, 2026 – October 23, 2026 | New York, NY, USA 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… debug-gym: A Text-Based Environment for Interactive Debugging A Text-Based Environment for Interactive Debugging In most existing approaches (shown in black), an agent rewrites its code conditioned on error messages obtained from executing its code. debug-gym equips the agent with additional tools such… the Text Adventure Learning Environment Suite Reasoning is an essential skill to enable Large Language Models (LLMs) to interact with the world. As tasks become more complex, they demand increasingly sophisticated and diverse reasoning capabilities… Principal Applied Scientist Posted : 2026年10月13日 地点 : Hyderabad, Telangana, India 研究领域 : Artificial intelligence, Data platforms and analytics, Systems and networking We are seeking an exceptional Principal Applied Scientist to join the Data Center Applied AI team. In this role, you will play a pivotal role in advancing and integrating cutting‑edge, multimodal agentic AI systems into… Scalable Training of Diffusion Samplers via Fixed-point Score Matching 2026年10月13日 | Denis Blessing This talk explores recent advancements in neural sampling using diffusion models. I will begin by highlighting the shortcomings of prior methods and explaining how recent approaches, inspired by the success of data-driven paradigms, overcome these… AI World Models for Memory, Meaning, and Human Futures 2026年10月12日 | Juwon Jung 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,…