Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
Researchers are devising technologies that help analyze and enhance human movement and performance.
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Objectives To investigate associations between daily physical activity, activity intensity and step counts with incident cancer risk. Methods Prospective analysis of UK Biobank participants who wore ...
An early-career journalist should be ready to jump at whatever opportunity arises. Even if that means hiking to the top of a skyscraper. Credit...Tim Peacock Supported by By Kendal Asbury Kendal ...
Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...
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