A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

If you are curious and want to learn how does AI work, well, follow our detailed explainer on Artificial Intelligence's ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

Wildlife poaching remains a major conservation concern. Technological advancements have enabled webs of acoustic sensors to ...

“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 ...

Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating ...

Advancing AI capabilities isn’t a solo effort – it takes cross-industry collaboration to make these systems a reality.