If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Researchers integrated machine learning with multi-tiered validation to identify FDA-approved non-lipid-lowering drugs with lipid-modifying potential. From 3,430 drugs screened, 29 candidates emerged.

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

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This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

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A current approach uses classical machine learning (CML) algorithms, but they require large datasets, and their performance degrades in small-sample, nonlinear settings. The Australian researchers, ...