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 ...

Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the way ...

Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed by University of Michigan researchers to train a material. The ...

Discover how artificial intelligence evolved over a century through periods of innovation, AI winters, and the deep learning breakthroughs shaping 2026.

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...

Every time a human or machine learns how to get better at a task, a trail of evidence is left behind. A sequence of physical changes—to cells in a brain or to numerical values in an algorithm—underlie ...