Nowadays, compute-intensive programs, like those for training artificial intelligence and machine learning models, are used extensively. Modern ...
An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...
As the world becomes more interconnected, some plants have benefited from a greater ease in movement from one region to ...
NEW YORK, Sept. 30, 2025 /PRNewswire/ -- Superiorstar Prosperity Group has announced the integration of machine learning technologies with quantitative research methodologies to improve its risk ...
10don MSN
Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
University of Sheffield researchers developed a machine learning framework to improve coating properties in a roll-to-roll slot die coating process. The work is seen as an initial step toward broader ...
Conceived by French scientists, the novel system uses ensemble learning and does not require anything more than a commercially available optimizer. Before it makes a decision, the method combines K ...
Neuroblastoma is the most common solid tumor in infants and accounts for nearly 15% of all pediatric cancer-related deaths. Despite decades of progress in surgery, chemotherapy, and stem cell ...
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