Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...

When a house catches on fire, we assume that a smoke alarm inside will serve one purpose and one purpose only: warn the ...

When a baby smiles at you, it's almost impossible not to smile back. This spontaneous reaction to a facial expression is part ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...

Researchers in Japan built a miniature human brain circuit using fused stem-cell–derived organoids, allowing them to watch ...

Korea’s research community has reached an important milestone on the path toward next-generation mobile communications with ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...

Abstract: Optical neural networks (ONNs) have the potential to overcome scaling limitations of transistor-based systems due to their inherent low latency and large available bandwidth. However, ...