AI system learns to keep warehouse robot traffic running smoothly
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.
The Institute also ranks second in seven subject areas.
This award-winning startup with roots at the MIT Energy Initiative is developing lightweight, flexible, high-efficiency solar energy films designed to be used on roofs, walls, and any curved surface.
The portable “ChromoLCD” device combines LCD and LED lighting to customize high-quality designs onto things like shirts and whiteboards.
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.
This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.
Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.
Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.
One year in, MIT’s hands-on 6-5 (Electrical Engineering With Computing) degree program is already one of the most popular majors among first-year students.
MIT professors Amos Winter and Nikolai Zeldovich are honored for exceptional undergraduate teaching.
MIT computer science students design AI chatbots to help young users become more social, and socially confident.
Light-emitting structures that curl off the chip surface could enable advanced displays, high-speed optical communications, and larger-scale quantum computers.
Faculty members and researchers were honored in recognition of their scholarship, service, and overall excellence.
A new approach could help users know whether to trust a model’s predictions in safety-critical applications like health care and autonomous driving.