Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
Frontiers in Machine Learning: Fireside Chat
Fireside Chat with Christopher Bishop, Technical Fellow and Lab Director of Microsoft Research Cambridge and Peter Lee, Corporate Vice President of Microsoft Research & Incubation. Introduction: Sandy Blyth, Managing Director of Microsoft Research Outreach
Event
Frontiers in Machine Learning 2020
The first virtual Frontiers in Machine Learning event took place from July 20-23, 2020. This four-day virtual conference brought together academics, researchers, and PhD Students. The program was rich, engaging, and filled with current themes…
Project
Trustworthy AI
In recent times, the explosion of information from a variety of sources and cutting edge techniques such as Deepfake have made it increasingly important to check the credibility and reliability of the data. Large volumes…
Project
SynapseML
Synapse Machine Learning expands the distributed computing framework Apache Spark in several new directions and brings new networking capabilities to the Spark ecosystem.
Microsoft Research Blog
A path to personalization: Using ML to subtype patients receiving digital mental health interventions
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…
Project
Learning with Weak Supervision
The need for labeled data is one of the largest bottlenecks in training supervised learning models like deep neural networks. This is especially the case for many real-world tasks where large scale annotated examples are…