Teaching machines to predict the future
Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.
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.
Wireless motion-tracking device from CSAIL researchers is among highlighted innovations at “Demo Day.”
MIT spinout Jisto helps companies optimize utilization with real-time deployment, monitoring, and analytics.
The Association for Computer Machinery cites Devadas, Grimson, Morris, Rubinfeld, and Rus as having "provided key knowledge" to computing.
Brocade CTO and former distinguished engineer at Cisco combines engineering and management at SDM to hone leadership skills.
On Oct. 27, IS&T will retire the “MIT N” and “MIT SECURE N” wireless networks, leaving MIT Secure as the wireless network of choice.
Cognitive coexistence radio and other technologies will help alleviate spectrum congestion for wireless devices.