Cynthia Breazeal named senior associate dean for open learning
Social robotics and artificial intelligence pioneer will oversee business units and help to guide innovative learning initiatives.
Social robotics and artificial intelligence pioneer will oversee business units and help to guide innovative learning initiatives.
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
With a double major in linguistics and computer science, senior Rujul Gandhi works to surmount language and cultural barriers, globally and on campus.
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
Humans find AI to be a frustrating teammate when playing a cooperative game together, posing challenges for "teaming intelligence," study shows.
Current and former MIT researchers find novel tools can improve the sustainability of road networks on a limited budget.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
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 researchers find a new way to quantify the uncertainty in molecular energies predicted by neural networks.