WaferLLM：从系统软件视角重构晶圆级AI计算
编者按：当“更大、更快、更高效”的 AI 计算成为业界追求的方向，在硬件革新之外，系统软件层的突破同样关键。微软亚洲研究院与爱丁堡大学联合提出的 WaferLLM 正是这一探索的重要尝试。该研究聚焦于晶圆级 AI 计算平台的系统软件优化，从架构原理到推理性能全面重构，为 AI 计算的未来提供新的视角。相关论文已被 OSDI 2025 接收。 随着 AI 模型规模持续膨胀、计算复杂度急剧上升，传统芯...
In the news | LinkedIn Article
The Next Phase of Aurora: Open and Collaborative AI for Weather and Climate Forecasting
Around the world, the dangers of extreme weather are a daily reality. In 2024, extreme weather displaced or disrupted the lives of more than 800,000 (opens in new tab) people worldwide —a reminder that accurate, timely forecasts aren’t just about data; they’re about people. From farmers deciding when to plant to coastal communities preparing for hurricanes, better…
In the news | Microsoft Sustainably Speaking
Open source, shared planet: Harnessing AI to protect biodiversity
AI is transforming conservation in ways that were out of reach just a few years ago. The biodiversity crisis spans continents and species, so our tools must be open, adaptable, and collaborative—able to move from one habitat or use case…
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…
MMCTAgent: Enabling multimodal reasoning over large video and image collections
| Akshay Nambi, Kavyansh Chourasia, and Tanuja Ganu
MMCTAgent enables dynamic multimodal reasoning with iterative planning and reflection. Built on Microsoft’s AutoGen framework, it integrates language, vision, and temporal understanding for complex tasks like long video and image analysis.
AI tools can perform poorly in non-Western languages and lack critical cultural context for many populations. Project Gecko uses small language models to bring vital expertise to farmers in underserved areas using local languages and multi-modal content.
In the news | Microsoft Research Story
Advancing AI to meet needs of the global majority
AI tools can perform poorly in non-Western languages and lack critical cultural context for many populations. Project Gecko uses small language models to bring vital expertise to farmers in underserved areas using local languages and multi-modal content.
BlueCodeAgent: A blue teaming agent enabled by automated red teaming for CodeGen AI
| Chengquan Guo , Yuzhou Nie, Chulin Xie, Zinan Lin, Wenbo Guo, and Bo Li
BlueCodeAgent is an end-to-end blue-teaming framework built to boost code security using automated red-teaming processes, data, and safety rules to guide LLMs’ defensive decisions. Dynamic testing reduces false positives in vulnerability detection.
In the news | Microsoft EMEA Blog
AI Diffusion Report: Mapping Global AI Adoption and Innovation
The AI Economy Institute, Microsoft’s flagship think tank released its AI Diffusion Report, offering comprehensive view of where artificial intelligence is being used, developed, and built globally. The report provides country-level estimates of AI adoption, insights into innovation hubs, AI skills…