Visualizing an AI model’s blind spots
New tool highlights what generative models leave out when reconstructing a scene.
What makes an image memorable? Ask a computer
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
Faster video recognition for the smartphone era
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
What a little more computing power can do
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
IBM gives artificial intelligence computing at MIT a lift
Nearly $12 million machine will let MIT researchers run more ambitious AI models.
Want to know what software-driven health care looks like? This class offers some clues.
A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.
Want to learn how to train an artificial intelligence model? Ask a friend.
MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.
Toward artificial intelligence that learns to write code
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
Combining artificial intelligence with their passions
Research projects show creative ways MIT students are connecting computing to other fields.
3Q: Aleksander Madry on building trustworthy artificial intelligence
A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.