The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial ...

The study presents a useful computational analysis of how the ratio between excitatory and inhibitory neural numbers affects coding capacity. The authors show that increasing the proportion of ...

Neural networks are built upon several key components that work together to process data and make predictions: A neural network's basic computational units (also called nodes). Each neuron receives ...

Explaining how artificially intelligent (AI) neural networks (NNs) arrive at their conclusions—especially deep neural ...

The first current detection algorithm for subpixel target detection is based on a single-layer neural network and gradient descent method with variable stepsize to solve the optimization problem, and ...

This study presents useful findings on the differences between male and hermaphrodite C. elegans connectomes and how they may result in changes in locomotory behavioural outputs. However, the study ...

The future of data is one of flexible, natural ways of representing information—data that is organized less like tables and ...

There's no question that AI systems have accomplished some impressive feats, mastering games, writing text, and generating ...

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of ...

This is a lightweight repository of bayesian neural network for PyTorch. @article{lee2022graddiv, title={Graddiv: Adversarial robustness of randomized neural networks via gradient diversity ...