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 ...

Discover the untapped potential of the brain’s adaptability. Learn how neuroplasticity reshapes cognitive abilities at any ...

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

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

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, ...

China's DeepSeek became OpenAI's competitor - faster, cheaper, better. It's a start of a new reality for business leaders and ...

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 ...