New Simulation Framework Tests Which AI Toxicity Detectors Actually Pay Off
Researchers have unveiled a Profit-Driven Simulation framework that tests AI toxicity detection models in realistic, revenue-sensitive social media environments and ...
Researchers have unveiled a Profit-Driven Simulation framework that tests AI toxicity detection models in realistic, revenue-sensitive social media environments and ...
Researchers at Cairo University have developed EPOBPA, a parallelizable frequent itemset mining algorithm that outperforms existing techniques by 36 to ...
A new machine learning study in Nature Food maps global phosphorus use efficiency in maize, rice and wheat at roughly ...
A new label-scarce graph AI framework reliably detects deep, subtle mineralization anomalies at the Kalatongke copper-nickel deposit using only 906 ...
A new statistical framework extracts standardized gain scores from reference training data to quantify and compare the social performance of ...
Researchers have created a flexible capacitive pressure sensor from a carbonyl iron particle and multilayer graphene composite that lets a ...
A new study shows that an AI brain age model trained on mortality risk from MRI scans mediates how health ...
Researchers have combined near-infrared hyperspectral imaging with a self-organizing map neural network to identify and semi-quantitatively map microplastic contamination on ...
Researchers have developed a scalable machine learning method that uses time-series clustering to automatically identify visual search strategies from raw ...
A new dual-layer knowledge graph model detects corporate financial fraud with up to 94.2 percent accuracy while providing auditors with ...
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© 2025 Scienmag - Science Magazine