Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...
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