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 ...

Houston Methodist neuroscientists have developed a first-of-its-kind method to rapidly produce synchronized, human brain wave ...

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 ...

Canary Speech, an AI-enabled voice biomarker technology company, was awarded a patent for the development of its paired neural networks for speech analysis, which is aimed at advancing the field of ...

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 ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

New research published in Imaging Neuroscience suggests that general intelligence is supported by the brain’s ability to maintain stable, efficient, and typical connectivity patterns. The study ...

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.

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...