New collaboration sparks global connections to art through artificial intelligence
MIT designers, researchers, and students collaborate with The Metropolitan Museum of Art and Microsoft to improve the connection between people and art.
MIT designers, researchers, and students collaborate with The Metropolitan Museum of Art and Microsoft to improve the connection between people and art.
A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Machine learning could help improve the accuracy of long-term forecasts, MIT climatologist argues.
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
New EAPS thesis field is the most recent to join the computational science and engineering doctoral program within the Center for Computational Engineering.
Cross-disciplinary projects at MIT probe the technological and aesthetic limits of sound.
Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.
A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.