Ideas: Bug hunting with Shan Lu
| Gretchen Huizinga and Shan Lu
Struggles with programming languages helped research manager Shan Lu find her calling as a bug hunter. She discusses one bug that really haunted her, the thousands she’s identified since, and how she’s turning to LLMs to help make software more…
微软亚洲研究院首席研究员陈卫博士获选2024 ACM Fellow
国际计算机学会（Association for Computing Machinery，简称 ACM）刚刚公布了2024年度 ACM Fellow 名单。本届，共有55位来自全球各地的杰出科研人员因在计算机科学各个领域的重要贡献获得这一殊荣，涵盖领域包括计算机图形学、网络安全、人机交互、数据管理、机器学习、人工智能、算法和可视化等。 其中，微软亚洲研究院首席研究员陈卫博士凭借网络影响力最大化和组合...
By Ada Wang and Hao Ai, Microsoft Experimentation Platform For years, Microsoft’s experimentation platform (ExP) has been the backbone of running A/B experiments at a global scale, analyzing results and enabling data-driven decisions for Microsoft products used worldwide. ExP started at…
In the news | GeekWire
Microsoft launches $5M grant program for AI projects in WA state as part of 50th anniversary
Microsoft’s AI for Good Lab is offering a total of $5 million in cloud computing credits in its home state of Washington through a new grant program in conjunction with the company’s 50th anniversary. The lab is looking to support…
Awards | ACM
Wei Chen and Benjamin G. Zorn named 2024 ACM Fellows
Wei Chen and Benjamin G. Zorn are among the 55 new ACM Fellows for their contributions to computing that are transforming science and society.
MatterGen：基于生成式AI的材料设计新范式
编者按：近日，微软研究院科学智能中心提出了一种创新的生成式 AI 材料设计工具 MatterGen, 突破了传统材料筛选方法的局限，能够在更广泛的材料空间中进行高效探索，并根据应用需求直接生成新材料。该模型可以针对材料的特殊几何结构进行优化，在化学成分、物理属性等多方面生成稳定的新型材料，开启了基于生成式 AI 辅助材料设计的新范式，并将对电池、磁铁等领域的创新产生深远影响。 材料创新是推动重大技...
In the news | KING5.com
Microsoft’s ‘AI for Good’ program offers $5 million in grants for Washington innovators
Microsoft announced a groundbreaking initiative Wednesday morning to use artificial intelligence to tackle some of the world’s biggest challenges. The program, worth over $5 million, focuses on Washington state scientists and innovators. It is open to individuals or groups working…
Research Focus: Week of January 13, 2025
In this edition: Privacy enhancements for multiparty deep learning; using smaller, open-source models to provide relevance judgments; new tool uses AI, data to automate innovation and development; Yasuyuki Matsushita named IEEE 2025 Computer Society Fellow.
编者按：近年来，人工智能在语言处理、视觉生成等领域的表现令人惊叹，但在复杂的数学推理任务上仍面临挑战。微软亚洲研究院推出的新算法 rStar-Math，通过引入类似人类系统的慢思考和推理思维，显著提升了小语言模型（SLMs）的数学推理能力。rStar-Math 打破了“只有大模型才有高性能”的固有观念，证明了小语言模型经巧妙设计，同样能实现卓越的推理效果，甚至在部分奥数级别的挑战中超越了现有大语言...