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 ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
An analysis by The Marshall Project provides a window into what causes thousands of people to die in prisons and jails every ...
This $50,000 Apple Silicon cluster features a quartet of Mac Studios with 2TB unified memory. Hitting 3x speed using RDMA, to ...
Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
RDMA via Thunderbolt 5 brings 10x faster links for Apple Silicon clusters, helping you run larger AI models on affordable M4 ...
Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Clustering Students Based on Learning Styles: A Machine Learning Approach for Personalized Education
Abstract: This study discusses the use of machine learning methods for clustering students according to their learning styles and behavioral characteristics. Employing a wide-ranging dataset of ...
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
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