The team’s approach is relatively straightforward. They analyzed over 1000 papers on deep learning to understand how learning performance scales with computational power. The answer is that the ...

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 rese ...

In this seminar we present our theoretical advancements in deep learning and computer vision algorithms with focused application in CoPath. We investigate this from both data-centric and model-centric ...

We’re approaching the computational limits of deep learning. That’s according to researchers at the Massachusetts Institute of Technology, MIT-IBM Watson AI Lab, Underwood International ...

The advent of deep learning has spawned new life into the quest to create artificial intelligence. But along the way, ... The nGraph compiler starts with the computational graph generated by each of ...