MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...
Abstract: Sleep stage classification, essential for diagnosing sleep disorders, monitoring neurological health, and advancing cognitive neuroscience. Traditionally involves manual scoring of ...
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