The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

This paper investigates the application of support vector machine to the modeling of high-speed interconnects with largely varying and/or highly uncertain design parameters. The proposed method relies ...

AI workloads have fundamentally transformed data center communication requirements, introducing unprecedented demands for ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

The majority of high dimensional gene expression data contain a significant amount of redundant genes, posing challenges for machine learning algorithms due to their high dimensionality. Feature ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

Researchers from The University of Texas at Austin used machine learning and artificial intelligence to develop new materials that could keep your house cooler and reduce energy bills.

The integration of artificial intelligence (AI) and multimodal data analytics is profoundly reshaping the domains of sports and human health. Traditional ...

Parkinson’s disease, the second most common neurodegenerative disorder globally, is often associated with vocal impairments, ...