A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Machine learning models are highly influenced by the data they are trained on in terms of their performance, ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Ivan Pupulidy and Crista Vesel both studied at Lund University in Sweden under Sidney Dekker, who introduced a "New View" of human error to the safety world. Today ...
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