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

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

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 ...

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

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 ...

Our ideas, tastes, and abilities to innovate and create shape up during different life stages. Scientists have identified ...

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

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

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 ...