Retrofitting MIT’s deep learning “boot camp” for the virtual world
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
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.
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
Co-design Center for Quantum Advantage and Quantum Systems Accelerator are funded by the U.S. Department of Energy to accelerate the development of quantum computers.
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
Study finds that the fusiform face area is active when blind people touch 3D models of faces.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
The design could advance the development of small, portable AI devices.
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.