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

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

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a ...

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 ...

Traditional artificial intelligence (AI) systems are built on artificial neural networks that mimic the human brain’s neurons ...

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

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, ...

Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.