Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

A new study utilizes compact neural networks to uncover the underlying mechanisms behind human decision-making. Scientists have long studied how people and animals make decisions, often looking at how ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

This Python library implements Constrained Monotonic Neural Networks as described in: Davor Runje, Sharath M. Shankaranarayana, “Constrained Monotonic Neural Networks”, in Proceedings of the 40th ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

We distilled the features on a large ECG data-set, then these features were fed into a Bayesian Neural Network for training. The BNN has a sparsity-inducing prior distribution arranged in a tied ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

Despite achieving exceptional performance, deep neural networks (DNNs) suffer from the harassment caused by adversarial examples, which are produced by corrupting clean examples with tiny ...

FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively. FramePack compresses input contexts to a constant length so that the generation ...