Microsoft Research Cambridge
News & features
LAMBDA: The ultimate Excel worksheet function
| Andy Gordon and Simon Peyton Jones
Ever since it was released in the 1980s, Microsoft Excel has changed how people organize, analyze, and visualize their data, providing a basis for decision-making for the millions of people who use it each day. It’s also the world’s most…
NeurIPS 2020: Moving toward real-world reinforcement learning via batch RL, strategic exploration, and representation learning
As human beings, we encounter unfamiliar situations all the time—learning to drive, living on our own for the first time, starting a new job. And while we can anticipate what to expect based on what others have told us or…
Project InnerEye evaluation shows how AI can augment and accelerate clinicians’ ability to perform radiotherapy planning 13 times faster
| Ozan Oktay, Anton Schwaighofer, David Carter, Melissa Bristow, Javier Alvarez-Valle, and Aditya Nori
Up to half of the population in the United States (opens in new tab) and United Kingdom (opens in new tab) will be diagnosed with cancer at some point in their lives. Of those, half will be treated with radiotherapy…
Research Collection – Re-Inventing Storage for the Cloud Era
“One of the challenges for us as a company, and us as an industry, is that many of the technologies we rely on are beginning to get to the point where either they are at the end, or they’re starting…
Project InnerEye open-source deep learning toolkit: Democratizing medical imaging AI
| Javier Alvarez-Valle and Gregory J. Moore, MD, PhD
For over a decade, the Project InnerEye team at Microsoft Research Cambridge has been developing state-of-the-art machine learning methods for the automatic, quantitative analysis of three-dimensional medical images. An important application is to assist clinicians for image preparation and planning…
In search for future of cloud storage, researchers look to holographic storage solutions
| Benn Thomsen, Dushyanth Narayanan, and Ant Rowstron
Data storage has always been a key tenet of compute, and with the massive growth in cloud compute, the demand for cloud data storage has opened an avenue for both revisiting prior technologies and developing new ones. It is projected…
ICML 2020 highlights: A Transformer-based RL agent, causal ML for increased privacy, and more
With over 50 papers from Microsoft accepted at this year’s International Conference on Machine Learning (ICML 2020) (opens in new tab), a number of which were presented in virtual workshops, Microsoft researchers are in full summer swing when it comes…
Three new reinforcement learning methods aim to improve AI in gaming and beyond
| Kamil Ciosek, Sam Devlin, and Katja Hofmann
Reinforcement learning (RL) provides exciting opportunities for game development, as highlighted in our recently announced Project Paidia (opens in new tab)—a research collaboration between our Game Intelligence group at Microsoft Research Cambridge and game developer Ninja Theory. In Project Paidia,…
A path to personalization: Using ML to subtype patients receiving digital mental health interventions
| Danielle Belgrave and Anja Thieme
Mental health experiences vary widely from individual to individual. Because of this, effective treatment is about identifying the unique set of tools that will help a person manage their mental health productively. And that rarely happens overnight. People experiencing symptoms…