A pore smaller than one nanometer reads peptide sequences amino acid by amino acid, pinpointing single-site Alzheimer's ...

Researchers have developed advanced mathematical models and hybrid machine learning tools that accurately predict how ...

A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.

Living cells are highly organized, yet they are not assembled using rigid blueprints or by following a predetermined plan.

A successful fusion reactor would be game-changing, providing near-limitless energy. Experts think that OpenMC can help ...

This study proposes a potentially useful improvement on a popular fMRI method for quantifying representational similarity in brain measurements by focusing on representational strength at the single ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures using machine learning-based simulations. This information is crucial in ...

Abstract: High-fidelity quantum control is one of the key elements in quantum computing and information processing. In view of possible inaccuracies in quantum system modeling and inevitable errors in ...