Computational Framework Ranks Safer RNA-LNP Formulations Before the Lab
Researchers at the University of Catania have built a modular computational framework that ranks RNA-lipid nanoparticle formulations for safety and ...
Researchers at the University of Catania have built a modular computational framework that ranks RNA-lipid nanoparticle formulations for safety and ...
Brazilian researchers have combined vibration analysis with explainable artificial intelligence to diagnose unbalance, misalignment, and cracks in rotors supported by ...
Researchers in Shanghai have developed TECL, a machine learning framework that treats conflicting opinions across multiple data views as valuable ...
Researchers have unveiled DistTDT, a distributed framework that brings explainable terminological decision tree learning to massive OWL knowledge bases, cutting ...
Researchers have combined GradientSHAP and 3D Contrast Grad-CAM to reveal how a 3D convolutional neural network identifies deep concealed orebodies ...
A survey-weighted explainable machine-learning analysis of PISA 2018 data from 74,235 students in ten education systems shows that books at ...
Understanding the way neural networks encode information has long posed a challenge for scientists in both neuroscience and artificial intelligence. ...
In the ever-evolving landscape of artificial intelligence, particularly in the domain of computer vision, a persistent challenge remains: explicability. When ...
In an era where artificial intelligence continues to transcend boundaries within various fields, medicine, particularly oncology, is reaping the benefits. ...
In a rapidly evolving world shaped by technological advances, the integration of artificial intelligence (AI) into public health initiatives has ...
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© 2025 Scienmag - Science Magazine