AI Learns Best When Maximising Data Diversity, New Theory Confirms
Researchers have increasingly applied von Neumann entropy (VNE) as a spectral measure of diversity within machine learning, yet a robust...
Learning methods
Discovery Learning predicts battery cycle life from minimal experiments
Figgener, J. et al. Multi-year field measurements of home storage systems and their use in capacity estimation. Nat. Energy 9,...
Data’s Hidden Shapes Revealed With New Geometry-Based Analysis Technique
Researchers are increasingly focused on dimensionality reduction techniques that accurately represent data residing on complex, nonlinear manifolds. Alaa El Ichi...
Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region
Study design and data sourcesStudy overviewIn this study, we examine the relationship between air pollution and the onset of ACS...
Continual Learning Achieves Reduced Forgetting Loss Via Joint Weight Optimisation
Scientists are tackling the persistent problem of ‘catastrophic forgetting’ in artificial intelligence, where machine learning models struggle to retain previously...
Deep Learning Applications in Optical Microscopy Techniques
In a recent review article published in the journal Microscopy Research & Technique, researchers focused on the integration of DL into...
