(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 ...

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 ...

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 ...

Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically ...

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

Scientists have developed a computer-based model that may explain how nerve cells become damaged in ALS, and how best to time ...

When a house catches on fire, we assume that a smoke alarm inside will serve one purpose and one purpose only: warn the occupants of danger. But imagine if the device could transform into something ...