A layered transistor design combines light detection optical memory and neuromorphic processing in one unit offering compact ...

Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

A team of over 150 scientists has achieved what once seemed impossible: a complete wiring and activity map of a tiny section ...

The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs).

The Machine Intelligence from Cortical Networks (MICrONS ... involving disruptions in neural communication. "If you have a broken radio and you have the circuit diagram, you'll be in a better ...

It also has implications for disorders like Alzheimer’s, Parkinson’s, autism, and schizophrenia involving disruptions in neural communication. “If you have a broken radio and you have the circuit ...

hsr.it Objective To investigate monoaminergic network abnormalities in patients with multiple sclerosis (MS) according to their fatigue and depressive status through a positron emission tomography ...

Their Canonical Representation Hypothesis (CRH) posits that, during training, neural networks inherently align their latent representations, weights, and neuron gradients within each layer. This ...

Unlike conventional methods that rely on multiple polarizers or sequential ... The key to SPSIM's success lies in its neural network-driven processing pipeline. By incorporating circular ...