Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function. ANNs have been around since the 1950s. They started taking hold in ...

As an electrical engineer investigating early neural networks in the 1990s, I dreamed of a future where artificial ...

To all of the people who work with machine learning and neural networks healthcare technologies, but can’t describe exactly how the gears are turning — don’t worry, you’re not alone. In a sold-out ...

Thomas J. Graham, MD, is the director of strategy and innovation in the department of orthopedic surgery at NYU Langone Health in New York City. In this role, Dr. Graham, formerly the chief innovation ...

A new report in Nature details the efforts of scientists at the University of California’s San Francisco and Berkeley campuses to translate brain signals into an approximation of natural speech, a ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

During each of these phases, our brains show markedly different characteristics in their architecture, according to the new ...