Microsoft Research Cambridge
新闻与深度文章
Bhaskar Mitra recently received the ACM SIGIR Early Career Researcher Awards for the following two categories: Excellence in Research: “For high-impact work, including research in neural IR and the establishing the MS-MARCO ranking benchmark” and Excellence in Community Engagement: “For…
In this issue: RENC makes 5G vRAN servers more energy efficient; CoExplorer uses AI to keep video meetings on track; Automatic bug detection in LLM-powered text-based games; MAIRA-2: Grounded radiology report generation.
| Eric Anderson, Thomas Ball, Peli de Halleux, James Devine, 和 Michal Moskal
MicroCode offers an affordable way to program the BBC micro:bit without needing an internet connection, fostering exploratory learning.
“We’re at the very early stage of generative AI and the impacts it will have on work. This is a fast-moving field, and there’s an immense opportunity to take control of the agenda and build truly globally equitable AI systems”,…
Daniela Massiceti delves into the transformative potential of multimodal models such as CLIP for assistive technologies. Specifically focusing on the blind/low-vision community, the talk explores the current distance from realizing this potential and the advancements needed to bridge this gap.
Microsoft researchers discuss the challenges and opportunities of making AI more inclusive and impactful for everyone—from data that represents a broader range of communities and cultures to novel use cases for AI that are globally relevant.
| Gretchen Huizinga 和 Abigail Sellen
Social scientist and HCI expert Abigail Sellen explores the critical understanding needed to build human-centric AI through the lens of the new AICE initiative, a collective of interdisciplinary researchers studying AI impact on human cognition and the economy.
From immersive virtual experiences to interactive design tools, Microsoft Research is at the frontier of exploring how people engage with technology. Discover our latest breakthroughs in human-computer interaction research at CHI 2024.
| Richard Black, Marco Caballero, Andromachi Chatzieleftheriou, Ant Rowstron, David Sweeney, 和 Hugh Williams
RASCAL is an untethered robot with a modular design, allowing it to move flexibly along and between evenly spaced storage shelves. Discover how it can address the availability and scalability challenges of existing automated storage and retrieval systems.