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 ...

Verseon, a pioneering company in physics- and AI-powered drug discovery, revealed that its AI technology significantly ...

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, ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a better-performing algorithm than earlier approaches in TopSpin and ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential data, like tracking ...

The SOM neural network is composed of input and hidden layers. Within the hidden layer ... Its primary process involves converting multiple indicators into a few comprehensive indicators, known as ...

However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...