Microsoft Research Lab – Redmond
News & features
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…
Research Focus: Week of October 23, 2023
In this issue: Kosmos-2.5: A Multimodal Literate Model; Can vine copulas explain complex relationships of weather variables; New system accelerates the adaptive training process; Structural inequalities and relational labor in the influencer industry.
What’s Your Story: Ranveer Chandra
| Johannes Gehrke and Ranveer Chandra
You may know tech, but how well do you know the people behind the advances? Ranveer Chandra talks about growing up in India, his work in systems and networking, and finding joy in your job in the first episode of…
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
| Boxin Wang, Bo Li, and Zinan Lin
This paper received the outstanding benchmarks track paper award during NeurIPS 2023 (opens in new tab). How trustworthy are generative pre-trained transformer (GPT) models? To answer this question, University of Illinois Urbana-Champaign, together with Stanford University, University of California, Berkeley,…
Research Focus: Week of October 9, 2023
Research Focus: Principal researcher Lester Mackey recognized for pioneering statistical and ML techniques; Pareto frontiers in neural feature learning; structural inequality in the influencer industry; new research on cardinality estimation.
HoloAssist: A multimodal dataset for next-gen AI copilots for the physical world
| Xin Wang and Neel Joshi
HoloAssist is a new multimodal dataset consisting of 166 hours of interactive task executions with 222 participants. Discover how it offers invaluable data to advance the capabilities of next-gen AI copilots for real-world tasks.
Intern Insights: Dr. Madeleine Daepp with Jennifer Scurrell and Alejandro Cuevas
| Madeleine Daepp, Alejandro Cuevas, and Jennifer Scurrell
Connecting with researchers, collaborating across disciplines, and exploring a new city—PhD students Jennifer Scurrell and Alejandro Cuevas talk to Senior Researcher Madeleine Daepp about the internship experience at Microsoft Research.
In the news | Medium: Jesus Rodriguez
Inside AutoGen: Microsoft Research New Autonomous Agent Framework
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.…
In the news | VentureBeat
Microsoft’s AutoGen framework allows multiple AI agents to talk to each other and complete your tasks
Microsoft has joined the race for large language model (LLM) application frameworks with its open source Python library, AutoGen. As described by Microsoft, AutoGen is “a framework for simplifying the orchestration, optimization, and automation of LLM workflows.” The fundamental concept…