AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Study uses artificial intelligence to analyze sleep-promoting effects of nearly 1,000 aromatic plants and recognize the ...
Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
New research shows supervised machine learning models combining Helicobacter pylori genomic data with patient demographics can accurately predict gastric cancer risk.
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