Smart workout apparel, “Vegetable Assassins,” and inspiration from medieval music
In a popular EECS class, student teams design, program, build, and demonstrate their own cloud-connected, handheld, or wearable embedded systems.
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In a popular EECS class, student teams design, program, build, and demonstrate their own cloud-connected, handheld, or wearable embedded systems.
MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
Ranked at the top for the eighth straight year, the Institute also places first in 11 of 48 disciplines.
System automatically writes optimized algorithms to encrypt data in Google Chrome browsers and web applications.
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
Fleet of “roboats” could collect garbage or self-assemble into floating structures in Amsterdam’s many canals.
Speakers — all women — discuss everything from gravitational waves to robot nurses.
Interactive tool lets users see and control how automated model searches work.
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
Working group studies options for creating a new set of faculty hires for MIT’s new college.
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.