Math is more than a school subject—it's the engine behind scientific discovery, driving advances in everything from climate modeling to AI. At Microsoft Research Asia, senior researcher Xian Zhang is leading efforts to help AI move beyond surface-level pattern recognition toward…
Predicting and explaining AI model performance: A new approach to evaluation
| Lexin Zhou and Xing Xie
ADeLe, a new evaluation method, explains what AI systems are good at—and where they’re likely to fail. By breaking tasks into ability-based requirements, it has the potential to provide a clearer way to evaluate and predict AI model performance.
In the news | The Microsoft Cloud
Microsoft as customer zero: Empowering research teams with AI
Research has always been an integral part of Microsoft’s identity, driving our role as a global technology leader. Since 1991, Microsoft Research has dedicated itself to a fundamental research approach—advancing knowledge, deepening our understanding of the world, and exploring how…
In the news | Mayo Clinic
Peter Lee, Ph.D., president of Microsoft Research, elected to Mayo Clinic Board of Trustees
Peter Lee, Ph.D., president of Microsoft Research, was elected today to the Mayo Clinic Board of Trustees. Dr. Lee oversees Microsoft Research's 13 global laboratories, driving advancements in artificial intelligence, computer science, health and life sciences while fostering the development…
Abstracts: Heat Transfer and Deep Learning with Hongxia Hao and Bing Lv
| Gretchen Huizinga, Hongxia Hao, and Bing Lv
Silicon has long borne the burden of heat transfer in electronics, but in a post-Moore’s Law world, researchers like Hongxia Hao and Bing Lv are using AI to discover and design next-generation materials that exceed the limits of silicon’s thermal…
微软亚洲研究院发布社会责任人工智能白皮书，助力构建以人为本的AI系统
编者按：在 AI 技术不断突破与快速落地的今天，如何确保其发展方向与人类价值观协调一致，正成为科技界与社会各界亟需回答的关键问题。近日，微软亚洲研究院发布了《社会责任人工智能：研究的挑战与机遇》白皮书，系统梳理了 AI 在社会实践中的复杂挑战，并提出了包括技术、伦理、治理等多维度的十大关键研究问题。通过跨越计算机科学与社会科学的深度对话，该白皮书深入探讨了如何设计“负责任的人工智能”，推动实现技术...
Research Focus: Week of May 7, 2025
In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semantic structure, and more.
Microsoft Fusion Summit explores how AI can accelerate fusion research
| Kenji Takeda, Shruti Rajurkar, and Ade Famoti
The first Microsoft Research Fusion Summit brought together global experts to explore how AI can help unlock the potential of fusion energy. Discover how collaborations with leading institutions can help speed progress toward clean, scalable energy.
SYNTHLLM框架：突破人工智能“数据墙”瓶颈，为AI训练注入新动力
编者按：数据是人工智能发展的“动力燃油”，但如今其正面临“枯竭”的风险，这道“数据墙”成为制约大模型性能突破的关键瓶颈。在此背景下，合成数据技术应运而生。近期，微软亚洲研究院推出了一个可扩展的 SYNTHLLM 框架，能够生成多样化的合成数据，有效填补自然数据的空缺。此外，研究员们还发现并证实了合成数据的规模法则，为大模型使用合成数据进行训练与优化提供了科学依据。 人工智能在当今取得如此显著发展的...