It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.

The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...

AlexNet is an artificial neural network created to recognize the contents of photographic images. It was developed in 2012 by then University of Toronto graduate ...

This means there are two important decisions to make before we train a artificial neural network: (i) the overall architecture of the system (how input nodes represent given examples, how many hidden ...

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 ...

A readout layer then analyzes this representation to find patterns and connections in the data. Unlike traditional neural networks, which require extensive training across multiple network layers ...

Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

Quantum computing has the potential to revolutionize various fields, but practical deployments capable of solving real-world problems face ...

Untether AI®, a leader in energy-centric AI inference acceleration today introduced a breakthrough in AI model support and developer velocity for user ...