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

The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial neural networks (ANNs)—the powerful tools that are revolutionizing predictive ...

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 ...

The future of data is one of flexible, natural ways of representing information—data that is organized less like tables and ...

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 ...

International Iberian Nanotechnology Laboratory (INL) researchers have developed a neuromorphic photonic semiconductor neuron capable of processing optical information through self-sustained ...

The field of image synthesis has experienced remarkable advancements, thanks to exponential growth in computing power and innovative algorithm development.

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

Co-fonder and CTO, Paul Masters, described a novel way to arrange the elements of a chip to do both machine learning "training" -- where the neural network is developed -- as well as "inference ...