In the news | Science News Explores
High-speed lasers write data — to last millennia — inside glass
The library, robot, laser, microscope and platters of glass are all part of a research program named Project Silica. Richard Black directs this project at Microsoft Research in Cambridge, England. “Project Silica is a new approach to storing data,” he…
In the news | Oceanographic
Artificial intelligence is now used to locate ghost nets in the ocean
Every year, 20% of all fishing gear in the world’s oceans is lost and an estimated 50,000 tons of lost fishing nets or ‘ghost nets’ end up in the oceans, posing a danger to a variety of marine wildlife. To…
桂晓凡，兼具“抽象派”与“现实主义”的应用科学家
编者按：人工智能技术与产业深度融合需要几步？微软亚洲研究院应用科学家桂晓凡用她的亲身经历给出了答案。 自2021年加入微软亚洲研究院以来，桂晓凡深度参与了多项人工智能技术的应用研究，从英语教育平台到电信行业，从近实时的全球碳预算到电池能源领域，她凭借扎实的技术能力和敏锐的数据洞察力，通过钻研跨领域知识以及与不同领域的专家深度合作，成功推动了人工智能技术在多个行业的落地。 如今人工智能正以前所未有的...
Microsoft Research and Physics Wallah team up to enhance AI-based tutoring
| Chris Stetkiewicz
Limited resources, geography, and economic factors present barriers to quality education for many students in India. Learn how Microsoft Research is collaborating with Physics Wallah to make AI-based tutoring more accurate, reliable, and affordable.
Over the past two decades, Microsoft Research India has achieved an extraordinary record of innovation—in areas ranging from health and education to agriculture and accessibility.
Yadong Lu, Senior Researcher; Thomas Dhome-Casanova (opens in new tab), Software Engineer; Jianwei Yang, Principal Researcher; Ahmed Awadallah, Partner Research Manager Graphic User interface (GUI) automation requires agents with the ability to understand and interact with user screens. However, using…
PIKE-RAG：解锁领域私有数据价值，推动LLMs工业应用落地
编者按：随着人工智能技术的快速发展，检索增强生成（RAG）系统已成为扩展大语言模型（LLMs）能力的重要手段之一。然而，当这些系统应用于复杂多样的工业场景时，仍面临诸多挑战，尤其是在处理领域特定知识和复杂推理任务时。对此，微软亚洲研究院的研究员们提出了 PIKE-RAG，通过多层次异构知识库构建、任务驱动的系统搭建策略以及自我进化的领域知识学习机制，显著提升了 LLMs 在复杂工业场景中的推理和应...
ExACT: Improving AI agents’ decision-making via test-time compute scaling
| Baolin Peng, Xiao Yu, Hao Cheng, Michel Galley, Zhou Yu, and Jianfeng Gao
ExACT combines Reflective-MCTS and Exploratory Learning to improve AI agents' decision-making, enabling test-time compute scaling. Learn how these methods help agents refine strategies for state-of-the-art performance and improved computational efficiency.
In the news | LinkedIn News
HeritageWatch.ai
Microsoft and our partners are launching HeritageWatch.AI, a nonprofit that will use AI to protect cultural heritage sites across the globe and help us preserve humanity’s past for future generations.