New book by Senseable City Lab researchers presents vision of data-driven urban design.

Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.

Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.

Bringing together engineers, data theorists, mathematicians, economists, biologists, and policy experts, IDSS is looking at financial risk through a multidisciplinary lens.

Researchers in IDSS are learning how ideas evolve over networks, quantifying the influence of individuals in networks, and making better predictions.

System from MIT’s Computer Science and Artificial Intelligence Lab enables single WiFi access point that can locate users within tens of centimeters.

"Polaris" system from MIT's Computer Science and Artificial Intelligence Lab accelerates website load-time by decreasing network trips.

Advance could enable mobile devices to implement “neural networks” modeled on the human brain.

Professor of electrical engineering and computer science has been appointed to the Joseph F. and Nancy P. Keithley Professorship in Electrical Engineering.

By seeing silhouettes through a wall, CSAIL device could help with motion capture, fall prevention and even your heating bill.