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 Showing 1 – 10 of 13534 results 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, Vol 39 Adopt ≠ Adapt: Longitudinal Analyses of LLM Conversations in the Wild Rebecca M. M. Hicke, Kiran Tomlinson EMNLP | October 2026 Mathematical foundations of AI workshop Upcoming: 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 Upcoming: 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… Shiksha Copilot: Teacher-AI Collaboration for Curating and Customizing Lesson Plans in Low-Resource Schools Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia , Nirmit Arora, Rahul Singh, René F. Kizilcec, Akshay Nambi , Tanuja Ganu , Aditya Vashistha

2026 Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) | October 2026 Honorable Mention Award at CSCW 2026 Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses October 7, 2026 | Zhiyuan He , Yuqing Yang 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… OptiMind: Teaching LLMs to Think Like Optimization Experts Xinzhi Zhang , Zeyi Chen, Humishka Zope, Hugo Barbalho , Konstantina Mellou , Marco Molinaro , Janardhan (Jana) Kulkarni , Ishai Menache , Sirui Li Neural Information Processing Systems Sparrow Studio Tutorial – Ep 1. – What is Sparrow Studio? October 6, 2026 | Carl Chalmers , Bruno Demuro Segundo, Zhongqi Miao Welcome to this first video on Sparrow Studio. In this video, we’ll provide an introduction to Sparrow Studio, what it is, and how it can be used to process and manage your ecology data. In… What AI gets wrong and what failure teaches us October 6, 2026 Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making… Like on Facebook Follow on LinkedIn Subscribe on Youtube Follow on Instagram Subscribe to our RSS feed Share this page: Share on Facebook Share on LinkedIn Share on Reddit