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

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate ...

But what if, instead of collecting all possible data from a sensor, we could be more selective, collecting just enough data to accurately identify whatever we’re looking for? Th ...

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

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

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

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 ...

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

A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever experiment using a brain-controlled interface to determine whether one-way ...