This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

This paper proposes a frequent pattern data mining algorithm based on support vector machine (SVM), aiming to solve the performance bottleneck of traditional frequent pattern mining algorithms in high ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Arun Raveendran Nair received the 2025 Global Recognition Award for revolutionizing banking technology through AI and machine ...

Machine learning aids in detection of 'brain tsunamis'. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 03 / 250319143026.htm ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.