New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

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 ...

(A) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...

As knowledge of the development of neuronal pathways continues to grow, it also elucidates potential treatment modalities for neuronal degenerative diseases and injuries. Molecular and genetic ...

In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

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

To study how a key chemical neuromodulator affects signaling in the brain's cortex, Garrett Neske, PhD, has received a three-year, $300,000 grant from the Whitehall Foundation, a nonprofit ...

A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine ...

Cell adhesion molecules (CAMS), i.e., laminin-1 or N-cadhedrin Adhesion and attractant Allow cells to grow along the surfaces of other cells (such as using pioneering axons for subsequent axons) ...