In this video from the MIT Deep Learning Series, Lex Fridman presents: Deep Learning State of the Art (2020). This lecture is on the most recent research and developments in deep learning, and hopes ...

The software uses a deep-learning algorithm that was trained on two million unlabeled videos amounting to a year's worth of screen time.

MIT's latest AI research can actually create videos of the future, and might one day let computers make diagnoses from medical images, detect bank fraud, and operate vehicles better than humans.

In a newly published study, MIT researchers find evidence that deep learning will soon (or already has) run up against computational limits.

The idea is to allow any company to deploy a deep-learning model without the need for specialized hardware. It would not only lower the costs of deep learning but also make AI more widely accessible.