Medical, health, and genomics
Video
Towards Mainstream Brain-Computer Interfaces (BCIs)
For decades, various companies, people, and institutes have worked on Brain-Computer Interface (BCI) systems aimed at healthy users, including pilots, drivers, soldiers, and the public at large. Advancements such as dry electrodes, wireless EEG amplifiers,…
Video
Faculty Summit 2016: Hot Topics
Generating Natural Questions About an Image CryptoNets: Machine Learning Inference on Encrypted Data Everest: Deploying Verified-Secure Implementations in the HTTPS Ecosystem Molecular Programming
Project
Technology for Mental Health and Well-Being Interventions
In the mental health context, this means that we strive to reduce the gap between people who suffer from mental illness, whether it is diagnosed, long-term, or situational, and the tools and interventions that can…
Group
Visualization and Interaction for Business and Entertainment (VIBE)
The Visualization and Interaction for Business and Entertainment (VIBE) group conducts research in the areas of: artificial emotion intelligence (AEI), information visualization in machine learning and big data; and human-computer interaction (HCI) in software engineering.
Group
Technology and Empowerment | India
Technology and Empowerment (TEM) is a research umbrella at Microsoft Research India. We build and study socio-technical systems that seek to have a meaningful impact on the daily lives of underserved people and communities.
Project
Accessible Mixed Reality
This project considers how to design emerging Mixed Reality technologies (including AR and VR) so that they are usable by and useful to people of all abilities. Too often, the accessibility of technology to people…
Group
Ability
The Ability team conducts research at the intersection of HCI and AI, with the aim of developing innovative technologies that extend the capabilities of and enhance quality of life for people with disabilities (long-term, temporary…
Video
Rich Representations of Visual Content for Screen Reader Users
Video Figure for CHI 2018 paper on Rich Representations of Visual Content for Screen Reader Users
