We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.
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.
This CoR brings together researchers at CSAIL working across a broad swath of application domains. Within these lie novel and challenging machine learning problems serving science, social science and computer science.
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.
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.
We develop computing systems for creative expression, cultural analysis, and social change.