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

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

A Japanese research team has successfully reproduced the human neural circuit in vitro using multi-region miniature organs ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

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 ...

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

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

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

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