Giving robots social skills
A new machine-learning system helps robots understand and perform certain social interactions.
Download RSS feed: News Articles / In the Media / Audio
A new machine-learning system helps robots understand and perform certain social interactions.
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.
Those selected for these positions receive additional support to pursue their research and develop their careers.
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
We seem to be wired to calculate not the shortest path but the “pointiest” one, facing us toward our destination as much as possible.
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
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.
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.