From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
Despite years of hype, new research reveals that predictive models often misclassify individuals at risk for suicide and fail to enhance real-world prevention. A review and meta-analysis in PLOS ...
Crotonylation, a post-translational modification, is implicated in cancer progression, but its prognostic significance in clear cell renal cell carcinoma (ccRCC) remains unclear. This study aimed to ...
Background: Exercise is known to regulate the immune system. However, its prognostic value in hepatocellular carcinoma (HCC) remains largely unknown. Objective: This study aims to construct a machine ...
Abstract: Machine learning (ML) algorithms have shown promise in optimizing wireless power transfer (WPT) systems, particularly for electric vehicle charging and medical implants. However, most ...
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