A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior ...

Models of hearing Deep neural networks are computational models that consists of many layers of information-processing units that can be trained on huge volumes of data to perform specific tasks.

Or if they are particularly useful for a model that is formulated in the dynamical systems formulation that we have for liquid networks. I want to add that liquid neural networks require time ...

Artificial neural networks process data in a manner similar to the human brain.

Deep neural networks trained on large annotated visual datasets have become state-of-the-art models for both visual recognition tasks and predicting neuronal responses in the primate visual stream.

When working with neural networks, their training is the single most resource-demanding and costly process. Scientists at the ETH Zurich have now developed a software that considerably speeds up ...

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.

Editor’s note: One of the central technologies of artificial intelligence is neural networks. In , Tam Nguyen, a professor of computer science at the University of Dayton, explains how neural ...