Understanding the feed-forward mechanism is required in order to create a neural network that solves difficult practical problems such as predicting the result of a football game or the movement of a ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

The very general Transformer becomes what is called a pre-training that can then be applied to specific neural networks in order to perform on specific tasks.

The great breakthrough about this model is that it makes no assumption about input data type, while, for instance, existing convolutional neural networks work for images only.

DeepMind's Perceiver has decent performance on multiple tests of proficiency even though the program is not built for any one kind of input, unlike most neural networks that specialize.

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent ...

Google says it's rolling out an on-device speech transcription algorithm in Gboard for American English, but only on Pixel smartphones.