8 practical examples of deep learning. Now that we’re in a time when machines can learn to solve complex problems without human intervention, what exactly are the problems they are tackling?

Deep learning is good at finding patterns in reams of data, but can't explain how they're connected. Turing Award winner Yoshua Bengio wants to change that.

This is Google’s animated illustration of how tensors flow from node to node through the edges of a data flow graph. TensorFlow currently runs on Ubuntu Linux, MacOS, Android, iOS, and Raspberry ...

The back-and-forth data flow ends up being a bottleneck for computation, capping the speed at which GPUs can run deep-learning algorithms. Neural Magic's office. NEURAL MAGIC.

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

Deep learning algorithms allow computers to learn from large amounts of data and are known for advancing the state of the art in the artificial intelligence field, leading to smarter cancer treatments ...