AI Frontiers: Rethinking intelligence with Ashley Llorens and Ida Momennejad
| Ashley Llorens and Ida Momennejad
Principal Researcher Ida Momennejad brings her expertise in cognitive neuroscience and computer science to this in-depth conversation about general intelligence and what the evolution of the brain across species can teach us about building AI.
Learning from interaction with Microsoft Copilot (web)
| Scott Counts, Jennifer Neville, Mengting Wan, Ryen W. White, and Longqi Yang
Microsoft researchers are taking a comprehensive and dynamic approach to help Copilot (web) continuously learn from interaction and feedback, improving the AI system and making it increasingly useful for consumers. Learn more.
"Before I became an intern at Microsoft Research Asia (MSR Asia), my knowledge of the institute was a paper on ResNet (Residual Network),” said Changho Hwang. “In the paper, researchers at MSR Asia introduced the idea of 'residual learning' and…
In the news | The Economist
Video will kill the truth if monitoring doesn’t improve, argue two researchers
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。 本文荣获 PPoPP 2024 唯一最佳论文奖 论文链接：https://dl.acm.org/doi/10.1145/3627535.3638476 (opens in new tab) 项目链接：http...
Abstracts: March 21, 2024
| Chang Liu and Gretchen Huizinga
Senior Researcher Chang Liu discusses M-OFDFT, a variation of orbital-free density functional theory (OFDFT) that leverages deep learning to help identify molecular properties in a way that minimizes the tradeoff between accuracy and efficiency.
Research Focus: Week of March 18, 2024
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. Large language models (LLMs) have shown impressive capabilities, yet they still struggle with…
Intelligent monitoring: Towards AI-assisted monitoring for cloud services
| Anjaly Parayil, Ayush Choure, Fiza Husain, Avi Nayak, Piyali Jana, Rujia Wang, Chetan Bansal, and Saravan Rajmohan
Integrating AI into cloud service monitoring improves incident detection accuracy, reduces unnecessary alerts, and enhances overall system reliability. This helps organizations better align with business goals and increase customer satisfaction.
Introducing Garnet – an open-source, next-generation, faster cache-store for accelerating applications and services
| Badrish Chandramouli
Garnet is a cache-store system that addresses growing demand for data storage to support interactive web applications and services. Offering several advantages over legacy cache-stores, Garnet is now available as an open-source download.