Q&A: Dina Katabi on a “smart” home with actual intelligence
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
A virtual environment embedded with knowledge of the physical world speeds up problem-solving.
Professor Markus Buehler composed it, and a South Korean orchestra performed it; it’s the latest in a series of artistic collaborations sparked by Buehler’s exploration of the structure of SARS-CoV-2.
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Four MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.