Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

New research has uncovered a paradoxical relationship between AI literacy and receptivity: Individuals with lower AI literacy ...

Some studies containing instructions in white text or small font — visible only to machines — will be withdrawn from preprint ...

Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

Random number generators are influenced by internal and external factors, leading to reduced randomness during work; therefore, real-time quality detection of these generators is crucial. However, ...