In short, the end game is deep, wide reinforcement learning, or more simply, building networks that improve with use. And as one might imagine, the computational load of such a task is immense and far ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

As Toon reminds The Next Platform, deep learning frameworks are capturing a knowledge model from data and the best way to represent those features and represents is via a computational graph. At their ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...

Read more about Deep learning disrupts weather forecasting, with accuracy that could save millions on Devdiscourse ...

On the front-end, nGraph currently supports TensorFlow and MXnet, two popular deep learning frameworks developed by Google and Amazon, respectively. It also supports ONNX, an open deep learning model ...

Decoding cosmic evolution depends on accurately predicting the complex chemical reactions in the harsh environment of space.

Deep learning, knowledge graphs, and the future of AI. Featuring scientist, best-selling author, and entrepreneur Gary Marcus Preview E Jan 4 · Orchestrate all the Things ...

These intermediate layers are where all computational processes are performed. At least three layers qualify for deep learning, but the more layers, the deeper the learning to inform the output layer.