The shared mission of Visual Computing is to connect images and computation, spanning topics such as image and video generation and analysis, photography, human perception, touch, applied geometry, and more.
We investigate language in different contexts: from how it is learned, to how it is grounded in visual perception, all the way to how machines can readily interact with humans.
We conduct interdisciplinary research aimed at discovering the principles underlying the design of artificially intelligent robots.
We develop new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.
We develop scalable algorithms for analysis of complex, high-dimensional data.
We develop computing systems for creative expression, cultural analysis, and social change.
Our research encompasses all aspects of NLP, from modeling basic linguistic phenomena to designing practical text processing systems, and developing new machine learning methods.
Our goal is to create technology that makes it possible for everyone in the world to interact with with computers via natural spoken language.
This community is interested in understanding and affecting the interaction between computing systems and society through engineering, computer science and public policy research, education, and public engagement.
Our goal is to enable artificial intelligence to perceive and interact with our world the way we humans do.