The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...
However, the absence of validated predictive models remains a significant challenge. Objective: This study compared a conventional logistic regression model with machine learning (ML) models using ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...
Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis, commonly affecting the knee joint and characterized by the progressive degeneration of articular cartilage (AC). Among the ...
AION-1 is a cutting-edge large omnimodal model specifically designed for astronomical surveys. It seamlessly integrates multiple data modalities, and enables simple adaptation to a wide range of ...
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