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

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

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

Dr. Jongkil Park and his team of the Semiconductor Technology Research Center at the Korea Institute of Science and Technology (KIST) have presented a new approach that mimics the brain's learning ...

The Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office awarded Northwestern Engineering’s Jie Gu and co-PIs Yiran Chen (Duke University) and Ramesh Harjani (University of ...

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 ...

I was reading my psychology book the other day and it mentioned how people, in an attempt at programming computers that *think* like humans, created neural network programming- which is the closest ...

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“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 ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...