The Dell AI Factory claims to speed up data throughput and lower latency for making AI predictions at the edge. Here's how ...

The researchers – from Germany, Portugal and the US, in collaboration with Chiappe's team – have now identified a compact but complete neural network ... mapped the full circuit responsible ...

Often, each node in a layer is connected to every node in the subsequent layer to send information forward in the network. “When you write code to build an artificial neural network, you're basically ...

Exploring this question is one of Maimon’s next steps. Turner-Evans also believes that exploring how these steering signals feed into the complex motor network and are then transformed into movements ...

The weights in any ANN are always just real numbers and the learning problem boils down to choosing the best value for each weight in the network. This means there are two important decisions to make ...

Thirty years ago, neural nets on a chip were created by a few companies around Boston, until someone realized these neural nets could be simulated on a desktop PC much more efficiently.

When combined with the Inscopix nVision behavior recording system, researchers can link neural activity more closely to natural behaviors such as socialization and place preference. The nVista 2P ...

An artificial neural network can be created by simulating a network of model neurons in a computer. By applying algorithms that mimic the processes of real neurons, we can make the network 'learn ...

Since the discipline of artificial intelligence latched onto the neural network, though, it's largely focused on developing different forms of artificial (or simulated) neural networks ...

An artificial neural network typically consists of several layers composed of individual neurons. An input signal passes through these layers and is processed by artificial neurons in order to ...