Meta wants us to believe there’s a difference between addiction and ‘problematic use.’ The harm to kids suggests otherwise ...
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?
The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
Introduction: Sepsis-induced coagulopathy (SIC) is a common disease in patients with sepsis. It denotes higher mortality rates and a poorer prognosis in these patients. This study aimed to develop a ...
Abstract: Increasing attention is being paid to machine unlearning, which supports individuals’ “right to be forgotten.” While most studies focus on the efficiency and effectiveness of unlearning ...
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