Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

Agentic AI, quantum computing, brain-computer interfaces, decentralized finance... astonishing breakthroughs and convergences ...

A machine learning expert breaks down where the money goes in building big AIs, and how DeepSeek found ways to do it far more ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...