Angelika Amon and Dina Katabi named Carnegie Corporation “Great Immigrants”
MIT biologist and electrical engineer are two of 38 naturalized U.S. citizens honored for contributions to American society.
MIT biologist and electrical engineer are two of 38 naturalized U.S. citizens honored for contributions to American society.
An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
General-purpose language works for computer vision, robotics, statistics, and more.
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
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.
A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.
Fleet of “roboats” could collect garbage or self-assemble into floating structures in Amsterdam’s many canals.
MIT startup Inkbit is overcoming traditional constraints to 3-D printing by giving its machines “eyes and brains.”
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.
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.