Microsoft Research Lab – Asia
Nouvelles et reportages
AAAI 上新 | 从金融模拟到类人推理，聚焦大模型的能力边界
编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉。 本周，第 40 届AAAI人工智能会议（AAAI 2026）在新加坡举行。微软亚洲研究院有多篇论文入选，内容涵盖了多模态生成、复杂逻辑推理、类人特质对齐及垂直行业模拟等多个前沿领域。 本期内容速览 1. Di…
Imagine an AI assistant that can navigate a computer the same way humans do—clicking buttons, filling out forms, and moving between applications—all by simply interpreting what’s on the screen. This vision is becoming a reality through computer use agents—AI systems…
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…
Agent Lightning: Adding reinforcement learning to AI agents without code rewrites
| Xufang Luo, Yuge Zhang, Zhiyuan He, Zilong Wang, Dongsheng Li, Luna K. Qiu, et 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.…
AI assistants, designed to perform actions on behalf of users, may not be as capable as current benchmarks suggest. New research reveals that existing tests for UI grounding—the ability of assistants to locate elements in the graphical user interface (GUI)—have…
Computer-use agents are AI systems that autonomously navigate and interact with software applications through graphical user interfaces (GUIs), and they are emerging as a new capability in artificial intelligence. By navigating and manipulating the same visual interfaces that people use,…
In recent years, as the shift toward agentic AI has accelerated, automation has advanced to handle increasingly complex tasks, from document and code generation to image creation, visual understanding, and mathematical reasoning. This trend points to the growing need to…
When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost
| Industry Innovation Center
A collaboration between Signify and Microsoft Research shows how PIKE-RAG improves enterprise knowledge systems, delivering a 12% increase in accuracy and faster, more reliable answers.