Artificial neural networks model face processing in autism
A new computational model could explain differences in recognizing facial emotions.
A new computational model could explain differences in recognizing facial emotions.
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.
A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.
Thousands of children participate in MIT-developed artificial intelligence curriculum.
Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.
A new training approach yields artificial intelligence that adapts to diverse play-styles in a cooperative game, in what could be a win for human-AI teaming.
Modeling study suggests that the muffled environment in utero primes the brain’s ability to interpret some types of sound.
Delegation meets campus leaders, with an eye toward AI applications and the Icelandic language.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights.
Researchers devise an efficient protocol to keep a user’s private information secure when algorithms use it to recommend products, songs, or shows.