Teaching artificial intelligence to connect senses like vision and touch
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
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.
By introducing a gene variant associated with autism into monkeys, researchers hope to study treatment options for severe neurodevelopmental disorders.
Neuroscientists trace a brain circuit that filters unwanted sensory input.
Researchers identify and develop new CRISPR-associated transposase system for targeted integration of DNA, adding key capabilities to gene-editing technology.
Squire Booker PhD ’94 met with former and current Summer Research Program students to explain how his summer experience at MIT shaped his research trajectory.
Tiny, branching extensions called dendrites may be more than just passive information-carriers, study finds.
Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.
On the cusp of graduation, health sciences and technology doctoral candidate Agata Wiśniowska '11 sustains her decade-plus connection to the MIT Nuclear Reactor Lab.
CSAIL system can mirror a user's motions and follow nonverbal commands by monitoring arm muscles.
Neuroscientists identify a brain circuit that helps break decisions down into smaller pieces.
New findings help explain the surprising discovery that exposure to flickering light reduces amyloid plaques in mice.
Study shows that artificial neural networks can be used to drive brain activity.
Mutation in disease model flies undermines maintenance of key ion balance.
Analysis of genes altered by the disease could provide targets for new treatments.