Deep learning neural networks can be massive, demanding major computing power. In a test of the 'lottery ticket hypothesis,' researchers have found leaner, more efficient subnetworks hidden within ...

We’re told neural networks ‘learn’ the way humans do. A neuroscientist explains why that’s not the case — and why AI can't think like us yet.

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.

LinguaNet: A Neural Network-Based Language Identification System Project Overview LinguaNet is a language identification model built on Deep Neural Networks (DNNs) using Python and TensorFlow. It ...

Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.

Handwriting recognition is proving to be a very popular neural network-related topic. However, nearly all handwriting recognition networks are limited to recognizing the Latin alphabet. My research ...

The scientists used about 900 archaeological objects discovered in the region to train the neural network. As a result, the neural network gained the ability to ''think'' in terms of the environment, ...

Researchers found out that there are little to no studies about Closed Captioning involving the Tagalog Language. For the latest researches found by the researchers, the system performance rate, in ...