Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...

The Center for American Progress’ data dashboard allows users to explore national- and state-level data trends on a range of child care and early learning topics. Read more and explore additional ...

Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...