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Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...
Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...
NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant steel materials by performing machine learning while preserving the ...
Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.
Deep learning using routine lab data showed promise in distinguishing candidemia from bacteremia but fell short of outperforming established biomarkers.
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
To delineate the metastatic microenvironment,, researchers in China have developed an explainable machine learning model that identifies key ... effectiveness in handling structured data. They ...
Discover the top AI tools and essential skills every data engineer needs in 2025 to optimize data pipelines, enable ...