CHI上新 | 探索人机协作的新范式
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。 CHI 是人机交互领域最具影响力的国际顶级会议之一，今年的 CHI 大会于4月26日至5月1日在日本横滨举办。本期“科研上新”将为大家带来微软亚洲研究院入选 CHI 2025 的三篇精选论文，聚焦生成式 AI...
In the news | TechRepublic
20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft
Developed by researchers from MIT, Microsoft, and Google, I-Con not only provides a new lens for understanding ML but also encourages creative thinking by merging traditional techniques. This groundbreaking approach is poised to propel the field forward, opening up new…
ICLR上新 | 多模态与决策智能的前沿探索
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...
Research Focus: Week of April 21, 2025
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
Optimizing Azure Healthcare Multimodal AI Models for Intel CPU Architecture
In the news | MIT News
“Periodic table of machine learning” could fuel AI discovery
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
Optimizing Azure Healthcare Multimodal AI Models for Intel CPU Architecture