Image courtesy by QUE.com In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

The integrated AI approach for bipedal locomotion combines physics-driven planning and reinforcement learning, achieving ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

Deep learning models applied to drone images offer a fast, accurate, and scalable alternative to costly manual tree surveys.

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

An artificial intelligence (AI) model trained on complex data from human cells could provide a shortcut in the race to develop new drugs 1. The approach, published on 23 October in Science, builds on ...