Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Researchers find that the amygdala is a sophisticated mediator that chooses between action-based and stimulus-based learning ...

Master proteomics database searching. Learn how algorithms match mass spectra to sequences and optimize identification.

More than 40,000 years ago, Ice Age humans were carving repeated patterns of dots, lines, and crosses into tools and small ivory figurines. A new computational study of more than 3,000 of these ...

When we envision the future of naval warfare, our minds often jump to sleek, stealth destroyers unleashing volleys of hypersonic missiles, or perhaps the ...

The AWS Generative AI Accelerator is supporting global startups to move beyond digital hype, creating specialised, embodied, and vocal intelligence for real-world legal, robotic, and enterprise ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

Random numbers are very important to us in this computer age, being used for all sorts of security and cryptographic tasks. [Theory to Thing] recently built a device to generate random numbers ...