MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...
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Learning from the global AI race: Why we must lead on AI governance in Africa
By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act ...
AI is transforming oncology by improving early detection, diagnosis, and treatment personalization through advanced data ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
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 ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
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