News
Results
Integrating computing across disciplines
The Common Ground for Computing Education is providing a mechanism for students to pursue valuable computational knowledge within the context of their fields of interest.
Dexterous robotic hands manipulate thousands of objects with ease
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.
Giving robots social skills
A new machine-learning system helps robots understand and perform certain social interactions.
Toward speech recognition for uncommon spoken languages
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
Avoiding shortcut solutions in artificial intelligence
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.
3 Questions: Blending computing with other disciplines at MIT
The Common Ground for Computing Education is facilitating collaborations to develop new classes for students to pursue computational knowledge within the context of their fields of interest.
Making machine learning more useful to high-stakes decision makers
A visual analytics tool helps child welfare specialists understand machine learning predictions that can assist them in screening cases.
Marion Boulicault receives MAC3 Society and Ethics in Computing Research Award
The award provides support to promising PhD candidates or postdocs conducting interdisciplinary research on the societal and ethical dimensions of computing.
One autonomous taxi, please
Self-driving Roboats, developed at MIT, set sea in Amsterdam canals.
One giant leap for the mini cheetah
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
