Neural networks are a key technology in artificial intelligence (AI) that are inspired by the human brain’s structure and ...

Shelby is an Assistant Editor for The Scientist. She earned her PhD from West Virginia University in immunology and microbiology and completed an AAAS Mass Media fellowship. View Full Profile. Learn ...

Both, human brain and modern artificial neural networks are extremely powerful. At the lowest level, the neurons work ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

Decision trees, while powerful, are a simple representation scheme. While graphical on the surface, they can be seen as disjunctions of conjunctions, and hence are a logical representation, and we ...

The term “artificial intelligence” dates back to the mid-1950s, when mathematician John McCarthy, widely recognized as the father of AI, used it to describe machines that do things people might call ...

Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers has programmed these infomorphic neurons and constructed artificial ...

Within Elon Musk's xAI, Ba chips away at the big, nebulous goal to "understand the true nature of the universe." He's a former student of Geoffrey Hinton, popularly known as the Godfather of AI.

The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and ...

Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer.

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role ... while ignoring extraneous ...