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
Ideas: Accelerating Foundation Models Research: AI for all
| Gretchen Huizinga, Evelyne Viegas, Muhammed Idris, and Cesar Torres Jr.
Innovative AI research often depends on access to resources. Microsoft wants to help. Technical Advisor Evelyne Viegas and distinguished faculty from two Minority Serving Institutions discuss the benefits of Microsoft’s Accelerating Foundation Models Research program in their lives and research.
Ananke：快速、透明的文件系统微内核恢复技术
作者：刘璟 你是否曾遇到在保存文件或玩游戏时电脑突然崩溃，重启后发现数据损坏或丢失的情况？文件系统故障比我们想象的要频繁得多，而恢复过程通常缓慢、困难且容易带来数据故障或损失。 针对此，微软亚洲研究院研究员和合作者共同设计开发了一种高性能的文件系统微内核服务 Ananke (opens in new tab)，旨在进行快速且透明的恢复。与传统需要全系统重启的恢复方法不同，Ananke 利用微内核架...
In the news | ITER
Microsoft and ITER to harness the power of AI
Microsoft Research and ITER, who is building the world's largest fusion reactor, have signed a Memorandum of Understanding to work together to apply artificial intelligence (AI) and other digital technologies to help engineers construct the ITER machine and accelerate research…
In the news | AP News
AI and satellites help aid workers respond to Myanmar earthquake damage
Just after sunrise on Saturday, a satellite set its long-range camera on the city of Mandalay in Myanmar, not far from the epicenter of Friday’s 7.7 magnitude earthquake that devastated the Southeast Asian country’s second-largest city. The mission was to capture images that,…
In the news | Github Blog
GPT-4o Copilot: Your new code completion model is now generally available
The GPT-4o Copilot model released in preview last month and updated this month now provides code completions for all Copilot users. This model delivers higher quality suggestions and improved latency.
人工智能评测新范式：解锁AI性能的可解释力与预测力
作者：周乐鑫 随着人工智能的快速发展，通用型人工智能（如大语言模型）在诸多领域都表现出色，包括可以解决复杂的数学问题，但由于其存在不可解释性以及不可预测性，所以在基础算术等简单任务上仍可能出现失误。这对人工智能的评估提出了重大挑战——亟需发展可解释与可预测的评估方法，以明确系统失败的原因，并指导进行可靠部署。然而，目前尚无可以同时满足这两点要求的评估范式。 传统以性能为导向的评估方法在个体任务实例...
Research Focus: Week of March 24, 2025
In this issue, we examine a new conversation segmentation method that delivers more coherent and personalized agent conversation, and we review efforts to improve MLLMs’ understanding of geologic maps. Check out the latest research and other updates.