Abstracts: October 9, 2023
| Gretchen Huizinga and Sheng Zhang
Researcher Dr. Sheng Zhang joins “Abstracts”—your source for cutting-edge research in brief—to discuss a recent paper on distilling large language models into smaller, more efficient ones capable of excelling in broad application classes.
Efficient and hardware-friendly neural architecture search with SpaceEvo
| Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yuqing Yang, Ting Cao, and Mao Yang
A persistent challenge in deep learning is optimizing neural network models for diverse hardware configurations, balancing performance and low latency. Learn how SpaceEvo automates hardware-aware neural architecture search to fine-tune DNN models for swift execution on diverse devices.
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.
Ronen Eldan (Microsoft Research) and Mark Russinovich (Azure) The Challenge of Unlearning in an AI Era Over the last few months, significant public attention has focused on a wide variety of questions related to the data used to train large…
Ronen Eldan and Mark Russinovich The Challenge of Unlearning in an AI Era Over the last few months, significant public attention has focused on a wide variety of questions related to the data used to train large language models (LLMs).…
In the news | UAE Today
AI technology can aid rescue efforts during natural disasters, experts say
Space technology and satellites can be used to prioritise the worst-hit areas during natural disasters and help rescuers save lives on the ground, a space conference heard. Although the AI technology used to scour thousands of images from disaster zones is…
Awards | MacArthur Foundation
Lester Mackey, 2023 MacArthur Fellow
Microsoft Research congratulates computer scientist and statistician Lester Mackey on his selection as a 2023 MacArthur Fellow.
Accelerate Foundation Models Research: Supporting a global academic research ecosystem for AI
A diverse research ecosystem is essential to realizing the promise of AI. Accelerate Foundation Models Research aims to expand access to powerful models, engaging academics outside of computer science to pursue a broad range of important opportunities.