Making wireless communication more energy efficient
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
Method for collecting two electrons from each photon could break through theoretical solar-cell efficiency limit.
MIT biologist and electrical engineer are two of 38 naturalized U.S. citizens honored for contributions to American society.
Annual MITEI awards support research on methane conversion, efficient energy provision, plastics recycling, and more.
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.
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.