At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events.
Meg Murphy | School of Engineering
April 4, 2018
A person watching videos that show things opening — a door, a book, curtains, a blooming flower, a yawning dog — easily understands the same type of action is depicted in each clip.
“Computer models fail miserably to identify these things. How do humans do it so effortlessly?” asks Dan Gutfreund, a principal investigator at the MIT-IBM Watson AI Laboratory and a staff member at IBM Research. “We process information as it happens in space and time. How can we teach computer models to do that?”
Such are the big questions behind one of the new projects underway at the MIT-IBM Watson AI Laboratory, a collaboration for research on the frontiers of artificial intelligence. Launched last fall, the lab connects MIT and IBM researchers together to work on AI algorithms, the application of AI to industries, the physics of AI, and ways to use AI to advance shared prosperity.