In the news | Microsoft Research Blog
3D Telecommunications Goes Open Source
Microsoft Research is open-sourcing its cutting‑edge 3D Holoportation technology that was used to transform healthcare by bringing doctors and patients together across vast distances. The work highlights real‑time, life‑size 3D telepresence that allows clinicians to meet, consult, and plan care…
《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.
GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI
| Hoifung Poon, Jeya Maria Jose Valanarasu, Naoto Usuyama, and Sheng Wang
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
What’s next in AI?
What’s next in AI for 2026? Microsoft researchers share what they expect, from adaptive robotics to agent‑native economies. Explore the areas of innovation set to define the next chapter.
Agentic AI marks a shift from passive systems to active collaborators—AI agents that engage in sustained reasoning, understand complex multimodal environments, and interact naturally with humans over extended time and contexts. Our vision is to build intelligent systems that participate…