Researchers in Korea trained a physics-informed neural network through federated learning to predict indoor temperatures across multiple building zones without ...
A federated learning framework let three oilfields jointly train a gamma-ray prediction model without sharing raw well data, lowering prediction ...
A narrative review finds AI and digital pathology show potential to improve adult CNS tumor diagnostics, while generalizability, transparency, and ...
The trasgoDP framework provides an open-source Python toolkit to release noised tabular microdata by implementing local differential privacy and metric-privacy ...
A new study reports a bumble bee mating-optimized convolutional neural network that classifies seven student emotional states from facial expressions ...
A Scientific Reports study presents a causal-enhanced federated transfer learning framework that improved cross-domain generalization robustness by 43% over conventional ...
A critical narrative review in BMC Medical Education identifies five recurring domains of ethical concern in AI-driven medical education and ...
A survey of 327 dental students found broad enthusiasm for AI’s potential but low confidence in its diagnoses, alongside substantial ...
A convenience survey of 185 Chinese endocrinologists and trainees found frequent reported AI exposure, interest in dedicated institutional tools and ...
A new probabilistic study shows that re-identifying anonymized genomes from predicted traits achieves high precision only under unrealistically favorable assumptions, ...
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