Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining.

A neural network implementation can be a nice addition to a Python programmer's skill set. If you're new to Python, examining a neural network implementation is a great way to learn the language.

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

The idea of feed-forward, auto-regressive, neural network models of language is still used today, although the models now have billions of parameters and are trained on extensive corpora, hence ...

"The use of neural networks in the model allows us to detect this type of marker in a more flexible way, solving the problem of lighting for all phases of the detection and decoding process ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today.

A new neural network could help computers code themselves The tool spots similarities between programs to help programmers write faster and more efficient software.

Assistant Professor of Electrical and Computer Engineering Jason Eshraghian and two students recently released the open-sourced code for the largest language-generating spiking neural network ever, ...