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

A team of researchers from MIT, Yonsei University, and University of Brasilia have launched a new website, Computer Progress, which analyzes the computational burden from over 1,000 deep learning ...

Key pros and cons of deep learning include its ability to handle large amounts of unstructured data and achieve high accuracy in challenging tasks, both of which are significant advantages.

The Computational Limits of Deep Learning Are Closer Than You Think Deep learning eats so much power that even small advances will be unfeasible give the massive environmental damage they will wreak, ...