Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
ISCA 2018 Lightning Talk: Project Brainwave
Lightning talk for the ISCA 2018 paper “A Configurable Cloud-Scale DNN Processor for Real-Time AI”.
Project
DCI – Distributed Causal Inference
Overview and Vision The Distributed Causal Inference (DCI) project explores ways to improve distributed systems technology and data query & storage functionality to enable and support answering causal inference questions from very-large-scale longitudinal and observational…
Microsoft Research Blog
Bringing low-resource languages and spoken dialects into play with Semi-Supervised Universal Neural Machine Translation
Machine translation has become a crucial component in the advancing of global communication. Millions of people are using online translation systems and mobile applications to communicate across language barriers. Machine translation has made rapid advances…
Video
Ethics and Diversity in AI
Artificial intelligence is powering the fourth industrial revolution and has been called the “new electricity.” The global economic impact of AI applications is expected to reach $2.95 trillion by 2025, and we’re already seeing AI…
Tool
Fairlearn
A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.
Microsoft Research Blog
Sounding the Future: Microsoft Research brings its best to ICASSP 2018 in Calgary
Introduction Speech technology has come a long way since Alexander Graham Bell’s famous Mr. Watson – Come here – I want to see you became the first speech to be heard over the telephone in…
Video
Connecting Vision and Language via Interpretation, Grounding and Imagination
Understanding how to model vision and language jointly is a long-standing challenge in artificial intelligence. Vision is one of the primary sensors we use to perceive the world, while language is our data structure to…
Microsoft Research Blog
Rapid Adaptation and Metalearning with Conditionally Shifted Neurons
The Machine Comprehension team at MSR-Montreal recently developed a neural mechanism for metalearning that we call conditionally shifted neurons. Conditionally shifted neurons (CSNs) adapt their activation values rapidly to new data to help neural networks…
