Microsoft Research Cambridge
项目
Networks need to run reliably, efficiently, and without users noticing any problems, even as they grow. Keeping networks tuned this way requires the development of tools that improve the functioning of large-scale datacenter networks. This project investigates a range of…
In Project AIM, analog iterative machine, we are building an optical machine to solve hard optimization problems at the speed of light — a space where state-of-the-art silicon solutions and even quantum computers fall short.
成立:
Exploring how to make remote and hybrid telepresence meetings engaging, effective, adaptive, and inclusive.
Microsoft’s data-centre footprint is expanding rapidly to meet the growing global demand for compute and storage. Our team is exploring the potential of automation and robotics to enhance the sustainability, efficiency, and reliability of the data center operations. The team…
Project Causica aims to develop machine learning solutions for efficient decision making that demonstrate human expert-level performance across all domains.
The aim of Project Alexandria is to automatically extract business knowledge into a single, consistent knowledge base, made up of the entities that really matter to each organisation. This powers human-centric experiences that enable people to work effectively with organisational…
By Calc Intelligence, we mean the research goal of bringing intelligence to end-user programming, and in particular to spreadsheets.
The Teachable AI Experiences team (Tai X) aims to innovate teachable AI systems that allow people near or far from the norm to create meaningful personalized experiences for themselves. What we ALL have in common is that we are unique.…
Project Silica is developing the first-ever storage technology designed and built from the media up, for the cloud. We are leveraging recent discoveries in ultrafast laser optics to store data in quartz glass by using femtosecond lasers, and building a…