Swarm of digital particles trains medical AI without sharing patient data
A particle swarm optimization strategy that dynamically selects the most informative clients in federated learning matches state-of-the-art methods for medical ...
A particle swarm optimization strategy that dynamically selects the most informative clients in federated learning matches state-of-the-art methods for medical ...
A new PLOS Computational Biology perspective sets out ten practical rules defining where AI assistance in computational biology is legitimate ...
An expert-derived mixed-methods study organized 14 virtual escape room design components across pedagogical, learning experience design, technological and contextual dimensions.
An analysis of five rheumatology digitalization guidelines found that ethical terms were common but competing principles and value conflicts were ...
A cross-sectional survey of 443 German and Romanian healthcare and psychosocial service providers found that 65.0% had recently used translation ...
A 2025 cross-sectional survey of 349 University of Khartoum medical students found moderate AI ethical awareness associated with informal exposure, ...
New research from IIT Kharagpur shows that federated learning drives models toward flatter loss minima that suppress memorization, and introduces ...
A new bibliometric analysis of 547 studies shows AI research in primary education has grown explosively since 2018 while ethics ...
A new qualitative study of 28 Lebanese schoolteachers finds that while most are aware of artificial intelligence, only a fraction ...
A unified framework combining federated learning, differential privacy and explainable AI tackles drift, fairness and privacy in credit scoring, revealing ...
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© 2025 Scienmag - Science Magazine