Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.

Testing two machine learning algorithms — extra trees and gradient boosting — a team including Australian researchers set out ...

If you've ever wondered whether an AI feature on your phone is doing anything useful, Ben Khalesi has probably asked the same question. He has covered AI and Android for Android Police since 2023, ...

Kyoto University researchers used machine learning to design a six-bacterium microbial community that significantly boosted ...

The changing use of the word algorithm reflects this enhanced visibility. In fact, the meaning of this word has changed ...

A Diagnostic Cost Group (DCG) machine learning algorithm succeeded in generating risk adjustment models and predicted healthcare spending better than the current HHS hierarchical condition category ...

A benchmarking study in BMC Infectious Diseases shows that data balancing, feature selection, and hyperparameter tuning make machine learning models markedly more reliable for diagnosing hepatitis C ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...