Scientists have built a soft, three-dimensional electronic device that can wrap around lab-grown human ...

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 ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Interbrain synchrony is the simultaneous activity of neural networks across the brains of people who are socially interacting –- for example talking, learning, singing, or working together. Having ...

A new ‘pop-up’ device developed by Professor John Rogers lets scientists map and manipulate activity in human neural ...

“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 ...

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

Researchers identify the Functional-Structural Ratio (FSR) as the biological link between age-related hearing loss and cognitive decline, offering a potential new biomarker for dementia risk.