In the news | Crop Monitor
Pakistan Flood Impacts on Agriculture & Food Security
A combination of heavy monsoon rains since late June, cloudbursts, and recent water releases from overflowing dams has resulted in record flooding across eastern Pakistan, with some areas recording the worst flooding in over four decades, resulting in deaths, widespread…
In the news | NBER
Economics of Transformative AI Workshop, Fall 2025
Watch workshop on the Economics of Transformative AI, held on September 18-19 at Stanford University. Supported by the Alfred P. Sloan Foundation grant #G-2023-19618 and Microsoft.
In the news | The Korea Times
IITP, Microsoft collaborate to build global network for fostering AI workers
In the news | Mongabay
How AI helps conservationists better understand and protect giraffes
Scientists have deployed artificial intelligence models to identify and re-identify endangered giraffes in Tanzania. The Wild Nature Institute partnered with Microsoft’s AI For Good Lab to launch Project GIRAFFE which uses open-source AI tools to identify and re-identify individual giraffes…
Tool-space interference in the MCP era: Designing for agent compatibility at scale
| Adam Fourney, Tyler Payne, Maya Murad, and Saleema Amershi
As agentic AI ushers in a new era marked by tool expansion, systems are converging, and complexity is rising. Microsoft Research explores the Model Context Protocol (MCP) as a new standard for agent collaboration across fragmented tool ecosystems.
In the news | VentureBeat
Microsoft’s new AI framework trains powerful reasoning models with a fraction of the cost
RenderFormer: How neural networks are reshaping 3D rendering
| Yue Dong
RenderFormer, from Microsoft Research, is the first model to show that a neural network can learn a complete graphics rendering pipeline. It’s designed to support full-featured 3D rendering using only machine learning—no traditional graphics computation required.
Breaking the networking wall in AI infrastructure
| Paolo Costa
Datacenter memory and network limits are restraining AI system performance. MOSAIC uses microLEDs and a wide-and-slow optical architecture to deliver faster, longer, more reliable, and energy efficient connections that could transform AI cluster designs.
BRIDGE：突破SFT-RL两阶段训练瓶颈，开辟推理模型协同优化新路径
编者按：在数学、编程等高度挑战的推理任务中，大语言模型正在展现前所未有的突破。然而，支撑其背后的传统训练范式仍存在效率低下与“灾难性遗忘”的困境。为此，微软亚洲研究院与香港中文大学联合提出了 BRIDGE 框架，通过双层优化机制让监督微调（SFT）与强化学习（RL）“携手并进”，突破了长期以来的两阶段训练瓶颈。BRIDGE 不仅在多个权威测试中实现了显著的性能提升，还为未来大模型后训练开辟了新方向...