Jake Hofman discusses recent research in building and evaluating AI tools for helping people make better decisions and improve their own capabilities at the Microsoft Research Forum.
Besmira Nushi summarizes timely challenges and ongoing work on evaluating and in-depth understanding of large foundation models as well as agent platforms built upon such models at the Microsoft Research Forum.
Dipendra Misra, Senior Researcher at Microsoft Research New York City and AI Frontiers lightning talk presentation at the Microsoft Research Forum.
Keynote: Research in the Era of AI
Peter Lee, Corporate Vice President, Microsoft Research and Incubations, discusses how recent developments in AI have transformed the way Microsoft approaches research.
| Ahmed Awadallah, Sébastien Bubeck, Jake Hofman, Ece Kamar, Peter Lee, Ashley Llorens, Dipendra Misra, Besmira Nushi, Sameer Segal, and Shuxin Zheng
Microsoft Research Quarterly Brief | January 2024 | In this Forum episode, we explore the latest breakthroughs in AI models, new applications of AI to important scientific challenges, novel approaches to model evaluation and understanding, and many other key research…
Panel Discussion: AI Frontiers
Hosted by Ashley Llorens, VP and Distinguished Scientist, Microsoft AI researchers, Sébastien Bubeck, Ahmed Awadallah, and Ece Kamar discuss frontiers in small language models and where AI research and capabilities are headed next.
The Experimentation Platform at Microsoft (ExP) has evolved over the past sixteen-plus years and now runs thousands of online A/B tests across most major Microsoft products every month. Throughout this time, we have seen impactful A/B tests on a huge…
微软亚洲研究院资深首席研究员谢幸博士获选2023 ACM Fellow
国际计算机学会（Association for Computing Machinery，简称 ACM）今天公布了2023年度 ACM Fellow 名单。本届入选的科研人员来自全球各地，并在包括人工智能技术、计算机图形学、网络安全、移动计算、软件分析和网络搜索等领域做出了突破性创新。其中，微软亚洲研究院资深首席研究员谢幸博士因其在空间数据挖掘和推荐系统方面的卓越贡献获选2023 ACM Fello...
Abstracts: January 25, 2024
| Gretchen Huizinga, Jordan Ash, and Dipendra Misra
On “Abstracts,” Jordan Ash & Dipendra Misra discuss the parameter reduction method LASER. Tune in to learn how selective removal of stored data alone can boost LLM performance, then sign up for Microsoft Research Forum for more on LASER &…