Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Projet
Accessible Information Retrieval
Web search is an important modern literacy skill, necessary for fully participating in many aspects of society including education, employment, commerce, and entertainment. However, web search is particularly challenging for people with print disabilities, such…
Projet
AI Fairness and Disability
This project examines issues around AI FATE (Fairness, Accountability, Transparency, and Ethics) and Responsible AI, with a particular focus on how AI systems impact people with disabilities. This includes ensuring that mainstream AI tools are…
Projet
Augmentative and Alternative Communication
ALS (amyotrophic lateral sclerosis) is a degenerative neuromuscular disease; people with late-stage ALS typically retain cognitive function, but lose the motor ability to speak, relying on gaze-controlled AAC (augmentative and alternative communication) devices for interpersonal…
Projet
Resource-efficient ML for Edge and Endpoint IoT Devices
Our objective is to develop a library of efficient machine learning algorithms that can run on severely resource-constrained edge and endpoint IoT devices ranging from the Arduino to the Raspberry Pi.
Outil
Gaussian Process for Any Neural Architecture
Gaussian Process for Any Neural Architecture: Reference Implementations This repo is a companion to the paper linked below, which shows that the Gaussian process behavior arises in wide, randomly initialized, neural networks regardless of architecture.…
Événement
Causal Machine Learning Day 2020
The Causal ML Day 2020 conference will bring together academics, researchers, and business practitioners who are developing innovative ways to use machine learning techniques to improve causal inference.
Groupe
Causality and Machine Learning
At Microsoft Research, our causality research spans a broad array of topics, including: using causal insights to improve machine learning methods; adapting and scaling causal methods to leverage large-scale and high-dimensional datasets; and applying all…
Vidéo
Data Visualization: Bridging the Gap Between Users and Information
With the explosion of data available today, finding effective ways for humans to interact with that data represents an enormous opportunity for researchers. At present, the ability to understand the nuances of visualizing data extends…
Vidéo
First-person Perception and Interaction
MSR Distinguished Lecture Series: First-person Perception and Interaction Computer vision has seen major success in learning to recognize objects from massive “disembodied” Web photo collections labeled by human annotators. Yet cognitive science tells us that…
