Founded in 1994, the Perceptual Science Group at MIT CSAIL does research in human visual perception, machine vision, image processing, and human-computer interaction.
Principal Investigators
Edward Adelson: adelson@csail.mit.edu
Ruth Rosenholtz: rruth@mit.edu
Website:
The Language & Intelligence group works toward building, explaining and better understanding language models, program language and how this understanding touches many facets of intelligence.
Faculty Lead:
Jacob Andreas
Email: jda@mit.edu
CSAIL /MIT
Website:
The Networks and Mobile Systems research group has conducted research in many areas of networking since 1998, including wireless networks, internet architecture, and network security.
The Supertech Research Group investigates scalable fast code and its hardware, software, and algorithmic foundations.
The MIT Data-Driven Inference Group (also known as the MIT Clinical and Applied Machine Learning Group) works toward developing machine learning and computer vision techniques to improve outcomes in medicine, finance, and sports.
The Programming Systems Group investigates the semantics, design, and implementation of programming systems (programming languages, compilers, and runtime systems).
The MIT-Harvard Center for Brains, Minds and Machines aims to create a new field — the Science and Engineering of Intelligence — that is dedicated to developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding. The multi-institutional collaboration is a National Science Foundation funded Science and Technology Center focused on the interdisciplinary study of intelligence.
The Computational Design and Fabrication Group centers on digital manufacturing, 3D printing and computer graphics, computational photography and displays, and virtual humans and robotics.
The Clinical Decision-Making Group's mission is to explore and further the application of technology and artificial intelligence to clinical situations. They also focus on the gathering, availability, security, and use of medical information throughout the human “life cycle” and beyond, in order to help support the vital nature of medical practice.
We seek to expand quantum computing and information as a field of study, focusing on a variety of topics in quantum theory and quantum algorithms.