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 have developed CropFusionNet, an interpretable deep learning framework that forecasts wheat, barley, and maize yields across Germany with benchmark-beating ...
A comprehensive new review maps how deep learning can fuse social media and satellite data to make disaster response faster ...
MemBrain v2 delivers an end-to-end, deep-learning-powered workflow for segmenting membranes and mapping membrane proteins in cryo-electron tomography across diverse datasets.
A comprehensive review of more than 140 studies traces how aspect-based sentiment analysis evolved from rule-based opinion mining to large ...
Researchers at Brown University have developed SCIGMA, a deep learning framework that integrates up to five spatial omics modalities across ...
Researchers have developed SlideChat, a multimodal generative AI assistant that interprets gigapixel whole-slide pathology images across 31 cancer types and ...
Researchers have developed a compact four-block residual attention network that classifies Alzheimer's disease and brain tumors from MRI scans with ...
An AI system called Green-AttGRU automatically classifies cystocele severity on dynamic transperineal ultrasound and improved radiologists' accuracy, agreement, and speed ...
A multi-center Chinese study shows that radiomics and deep learning models applied to routine carotid CT angiography can predict plaque ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine