In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
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No-code machine learning development tools
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...
Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
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