Building explainability into the components of machine-learning models
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
Exploring emerging topics in artificial intelligence policy
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
Taking the guesswork out of dental care with artificial intelligence
MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.
Robots play with play dough
A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.
Researchers release open-source photorealistic simulator for autonomous driving
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
Seeing the whole from some of the parts
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
Artificial neural networks model face processing in autism
A new computational model could explain differences in recognizing facial emotions.
Engineers build LEGO-like artificial intelligence chip
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
Student-powered machine learning
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology
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.
Hallucinating to better text translation
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.
Inaugural Day of AI brings new digital literacy to classrooms worldwide
Thousands of children participate in MIT-developed artificial intelligence curriculum.
In bias we trust?
Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.
Is diversity the key to collaboration? New AI research suggests so
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.
Early sound exposure in the womb shapes the auditory system
Modeling study suggests that the muffled environment in utero primes the brain’s ability to interpret some types of sound.