Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

In this article I'll explain the feed-forward mechanism, which is the most fundamental aspect of neural networks. To get a feel for where I'm headed, take a look at the demo program in Figure 1 and ...

A neural circuit is a network in which brain regions or individual neurons are the nodes and axonal ... Krzywinski, M. Neural circuit diagrams. Nat Methods 13, 189 (2016 ). https://doi ...

June 8, 2020 — Neural networks that become unstable after continuous periods of self-learning will return to stability after exposed to sleep like states, according to a study of simulated ...

By Dr. Chinta Sidharthan Although neurobiological studies have long studied the various regions of the brain, there was an absence of information on the interconnectedness between the regions and the ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.

Neural Diagrams Help Explain Color Vision. Colors can be categorized as reddish or greenish, ... "Until you see all the cells in the network functioning simultaneously, ...

And the resulting neural-network diagrams are yielding surprises — showing, for example, that a brain can use one network in multiple ways to create the same behaviors.