James DiCarlo named director of the MIT Quest for Intelligence
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
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.
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
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.
An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
Recent advances give theoretical insight into why deep learning networks are successful.
A global team of researchers searches for insights during a weeklong virtual “datathon.”
Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.
Ion-based technology may enable energy-efficient simulations of the brain’s learning process, for neural network AI systems.
Researchers capture our shifting gaze in a model that suggests how to prioritize visual information based on viewing duration.
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.