Chip design drastically reduces energy needed to compute with light
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
Working groups identify key ideas for new college; period of community feedback continues.
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.
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.
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.
New program will focus on rapid deployment of artificial intelligence innovations in operations, disaster response, and medical readiness.
Through computing, senior and Marshall Scholar Anna Sappington seeks answers to biological questions.
Through MIT App Inventor, Abelson aims to show children how they can use technology to shape their world.