From AI-driven material discovery and protein modeling to agentic systems, gaming, and multilingual AI for the global majority, 2025 turned research into real-world impact. Explore the breakthroughs in Microsoft Research’s Year in Review.
Extracting useful information from long videos, whether meeting recordings, experimental data, or lecture content, requires painstaking manual review. AI tools offer some help: language-vision models can summarize short clips or answer questions when videos are divided into clear scenes or…
Holoportation™ technology, enabling real-time 3D telecommunications, has evolved from the lab to real-world use. After a decade of refinement and real-world deployment, it's been released via open source license to encourage wider use and development.
《AI Next》是微软亚洲研究院推出的一档利用 AI 技术制作的播客，内容聚焦 AI 前沿技术、科研趋势与社会影响。第一季主要围绕当今智能发展的核心议题，探索前沿趋势。 在《AI Next》的第二期节目中，我们与微软技术院士、微软亚洲研究院常务副院长郭百宁博士和副院长边江博士一起探讨了具身智能领域的最新研究进展以及未来的应用方向。为什么具身智能必须通过行动来理解世界？具身智能又是如何通过与世界交...
《AI Next》是微软亚洲研究院推出的一档利用 AI 技术制作的播客，内容聚焦 AI 前沿技术、科研趋势与社会影响。第一季主要围绕当今智能发展的核心议题，探索前沿趋势。 在《AI Next》首期节目中，我们与微软亚洲研究院资深首席研究员杨凡博士，共同探讨了 AI 推理的本质：它如何在速度与正确性之间权衡，如何实现“既有直觉、又讲逻辑”，以及智能体推理（agentic reasoning）如何为未...
来自微软研究院的2026年前沿观察
本文编译自微软研究院博客文章：What’s next in AI? 2025年的 AI 发展历程并非一个循序渐进的故事，而是规模宏大、气势磅礴的新篇章。从最初用于轻微引导并辅助用户的算法，到现在，AI 已经发展成为能够与用户协作并具备推理和适应能力的复杂系统。在微软研究院，对 AI 的探讨早已超越了“技术上是否能实现”，而聚焦于“下一步将驶向何方”。 在微软研究院遍布全球的实验室网络中，研究员们正...
Agent Lightning: Adding reinforcement learning to AI agents without code rewrites
| Xufang Luo, Yuge Zhang, Zhiyuan He, Zilong Wang, Dongsheng Li, Luna K. Qiu, and Yuqing Yang
By decoupling how agents work from how they’re trained, Agent Lightning turns each step an agent takes into data for reinforcement learning. This makes it easy for developers to improve agent performance with almost zero code changes.
“Curiosity drives scientific breakthroughs, and the tools we create often reflect the human motivations behind that curiosity.” For Yansen Wang, a senior researcher at Microsoft Research Asia, this philosophy has guided his work at the intersection of AI and neuroscience.…
Promptions helps make AI prompting more precise with dynamic UI controls
| Sean Rintel, Advait Sarkar, Jack Williams, Nicholas Wilson, Richard Banks, Neeltje Berger, Philipp Steinacher, Payod Panda, and Ian Drosos
Promptions helps developers add dynamic, context-aware controls to chat interfaces so users can guide generative AI responses. It lets users shape outputs quickly without writing long instructions.