MaaG：迈向世界模型，解决生成式游戏中的数值与时空一致性难题
世界模型（world models）是人工智能领域的一个重要概念，旨在通过模拟虚拟世界中主体行为的演变，实现高度逼真的互动体验。这种模型不仅可以为游戏和互动媒体的生成带来革命性的变化，也将为人工智能在复杂环境中的应用提供新的可能性。其中，生成式游戏（generative games）作为构建世界模型的关键途径，备受关注。例如，微软提出的 MUSE 能够用神经网络生成游戏《嗜血边缘（Bleeding...
In the news | NEJM Catalyst
Jim Weinstein discusses health care challenges in U.S. rural areas with NEJM Catalyst
Disparities include limited access to care, rising mortality rates, and severe staffing shortages.
Awards | Ministry of Education, Culture, Sports, Science and Technology - Japan
Yasuyuki Matsushita receives MEXT Minister of Education, Culture, Sports, Science and Technology Award
Recipients have achieved remarkable results in research and development and promotion of understanding of science and technology.
A key challenge, and opportunity, of large language models (LLMs) is bridging the gap between their training data and the vast amount of unfamiliar information they encounter in real-world applications. Successfully navigating this divide could unlock a new era of…
Today we are making available an interactive real-time gameplay experience in Copilot Labs. Head over to this link (opens in new tab) to play an AI rendition of Quake II gameplay, powered by Muse. 5 second video of Quake II…
Real-world healthcare AI development and deployment—at scale
| Peter Lee, Matthew Lungren, and Seth Hain
Microsoft’s Dr. Matthew Lungren and Epic’s Seth Hain discuss the challenges and opportunities of leveraging generative AI for enhanced patient care and improved clinical documentation and recordkeeping at scale—plus what’s next for the technology in the field.
VidTok introduces compact, efficient tokenization to enhance AI video processing
| Tianyu He, Junliang Guo, and Jiang Bian
The VidTok method can enable AI systems to process and generate videos more effectively. Compact tokenization reduces computational costs while maintaining video quality across a potentially diverse set of applications.
新加坡国立大学与微软亚洲研究院合作，推进人工智能科研、培养计算机领域人才
新加坡国立大学（国大）与微软亚洲研究院达成合作，以推动人工智能（AI）与计算机领域的深入科研探索，并培养亚洲乃至更广泛区域的下一代科技人才。 新加坡国立大学与微软亚洲研究院将围绕人工智能驱动的关键研究领域展开合作，涵盖医疗健康、社会责任人工智能、空间智能，以及数据密集型计算等多个前沿领域。此次合作旨在加速相关领域的进步，提升多学科交叉的研究能力，加强亚洲地区在全球人工智能与计算机科学领域的引领作用...
In the news | The National University of Singapore
NUS collaborates with Microsoft Research Asia to advance AI research and cultivate computing talent