Deep-learning algorithm predicts photos’ memorability at “near-human” levels
Future versions of an algorithm from the Computer Science and Artificial Intelligence Lab could help with teaching, marketing, and memory improvement.
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Future versions of an algorithm from the Computer Science and Artificial Intelligence Lab could help with teaching, marketing, and memory improvement.
Robots, 3-D printers, and a surprise guest aim to get students excited about computer science.
Looking back on the year that was: Highlights from the Computer Science and Artificial Intelligence Lab in 2015.
New untraceable text-messaging system comes with statistical guarantees.
Berggren, Bertschinger, Fink, and Zue are among those recognized for efforts toward advancing science.
D. Fox Harrell receives $1.35 million in grant funding to advance research at the intersection of social science and digital technology.
Team led by Professor Russ Tedrake of CSAIL to develop algorithms for 6-foot-tall “Valkyrie” robot to travel to Mars and beyond.
Technique for mobile image processing in the cloud cuts bandwidth use by more than 98 percent.
2,600 recently rediscovered early modern letters to be analyzed in groundbreaking international digital humanities project.
Algorithms could offer new tools for graphics software or reveal structural defects.
Eye-tracking research reveals which types of visuals actually get the message across.
Exploiting video game software yields broadcast-quality 3-D video of soccer games in real time.
MIT and Kuwait researchers have been awarded $4 million to fund Underworlds, a study of real-time epidemiology using biomarkers in urban sewage.
By seeing silhouettes through a wall, CSAIL device could help with motion capture, fall prevention and even your heating bill.