A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
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Machine learning weather models are transforming climate forecasting across Africa
The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
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Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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