The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

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

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

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

The human brain is an astonishing organ, as any neuroscientist can attest. And its ability to collect, store, analyze and use information is intriguing to physicists, engineers and computer scientists ...

A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as ...

Artificial neural networks (ANNs) have evolved into a cornerstone of computational intelligence, drawing inspiration from the intricate connectivity of the human brain. These architectures consist of ...

The photonic microchip (below) developed for the study on physical neural networks, along with the electronic chip (above, the yellow one) of control. Artificial intelligence is now part of our daily ...

Neural networks have emerged as powerful tools in the field of neutron spectrometry and dosimetry by offering non-linear, data‐driven approaches to reconstruct complex neutron energy spectra and ...