Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

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

The AI model that shook the world is part of a broad trend to squeeze more out of chips using what's called sparsity.

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, ...

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 ...

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

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

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...