The hype over Large Language Models (LLMs) has reached a fever pitch. But how much of the hype is justified? We can't answer that without some straight talk - and some definitions. Time for a ...

Training a neural network is the process of finding a set of weight and bias values so that for a given set of inputs, the outputs produced by the neural network are very close to some target values.

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. Artificial intelligence ...

Explaining exactly how artificial neural networks (ANN) work in a mathless way can sometimes feel like a lost cause, though. They’re often likened to neural pathways in the human brain, but that’s not ...

The last decade has seen remarkable improvements in the ability of computers to understand the world around them. Photo software automatically recognizes people’s faces. Smartphones transcribe spoken ...

Federal funding for cognitive research in the late 1970s and early 1980s unexpectedly led to significant advancements in artificial intelligence. This research transformed our understanding of human ...