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。 4月24日至4月28日,全球最负盛名的深度学习盛会之一 ICLR 大会在新加坡举办。我们通过两期“科研上新”为大家带来多篇微软亚洲研究院入选 ICLR 2025 的精选论文解读。在第一期的内容中我们分享了包括...
In this issue: our CHI 2025 & ICLR 2025 contributions, plus research on causal reasoning & LLMs; countering LLM jailbreak attacks; and how people use AI vs. AI-alone. Also, SVP of Microsoft Health Jim Weinstein talks rural healthcare innovation.
Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their framework, called Information Contrastive Learning (I-Con), shows that a variety of different…
AI is reshaping our world at an unprecedented pace, yet the path from research breakthroughs to industry-ready solutions doesn’t happen overnight. Turning technical innovations into practical tools takes more than cutting-edge algorithms. It also requires a clear understanding of industry…
In the news | Tech Community
In the news | MIT News
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones. Their paper "I-Con: A Unifying Framework for Representation Learning" was accepted to the International Conference on Learning Representations.
In the news | Tech Community
作者:谢幸 编者按:从“推荐系统”的责任性研究,到社会责任人工智能(Societal AI),微软亚洲研究院全球研究合伙人谢幸的研究常常跨越学科边界,在人文科学中寻找答案。在今年的世界读书日,谢幸带来了一份聚焦技术与人文相互启发的书单,帮助我们从更广阔的视角审视科技的发展及其对社会的影响。这些作品中,不乏先行者关于技术如何影响人类社会的深刻洞见,提醒我们在机器智能飞速发展的今天,保持敬畏之心与责任...
| Sean Rintel, Leon Reicherts, Lev Tankelevitch, Advait Sarkar, Pratik Ghosh, and Richard Banks
Join us at CHI 2025 to explore how AI systems can be used as Tools for Thought as we reimage AI’s role in human thinking. Learn about new research, prototypes, and a workshop on designing AI that supports critical thinking,…