In the news | TheSequence
Edge 342: Who’s Happy Potter? Inside One of the Most Fascinating Papers Published This Year
In one of the most fascinating papers of this year, Microsoft Research explores an unlearning technique for LLMs. The challenge was nothing less than making Llama-7B to forget any knowledge of Harry Potter.
Research Focus: Week of November 8, 2023
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Generating both plausible and accurate full body avatar motion is essential for creating…
周礼栋对话比尔·盖茨：深入的科学研究比以往任何时候都更加重要
编者按：2023年是微软亚洲研究院建院25周年。25年来，微软亚洲研究院探索并实践了一种独特且有效的企业研究院的创新模式，并以此为基础产出了诸多对微软公司和全球社会都具有积极影响的创新成果。借此机会，我们特别策划了“智汇对话”系列内容，邀请全球各领域顶尖专家学者，与微软亚洲研究院院长周礼栋博士共同畅谈研究文化，探讨跨学科创新，展望技术未来。 2023年6月，微软联合创始人比尔·盖茨来到微软亚洲研究...
In the news | "LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup"
Microsoft Research Focus
Toward developing faster algorithms for minimizing submodular functions
| Haotian Jiang
This research paper was presented at the 64th IEEE Symposium on Foundations of Computer Science (FOCS) 2023 (opens in new tab), a premier forum for the latest research in theoretical computer science. Submodular functions are versatile mathematical tools, finding diverse…
In the news | LinkedIn
Ade Famoti joins Drone Express Advisory Board
Ade Famoti, Kathleen A. Merrill, Olivier Murguet, and Julia Sattel have joined the esteemed Advisory Board at Drone Express.
In the news | TheSequence
Meet AutoGen: Microsoft’s Super Innovative Framework for Autonomous Agents
Autonomous agents are rapidly becoming one of the hottest trends in generative AI. Still far from being a solve problem or a mainstream trend, autonomous agents is universally acknowledged as one of the new frontiers in the foundation model landscape.…
编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉，同时也能找到先进实用的开源工具。 本期内容速览 01. LLM for Science：使用大语言模型辅助和加速科学研究 02. 大模型道德价值观对齐问题的剖析与展望 03. PIT：通过排列不变性优化动态稀疏深度学习模型 04. SPFRE...