Background The global surge in ultra-processed food (UPF) consumption is a major public health challenge, particularly among ...
Abstract: Deep metric learning has gained significant attention recently due to its promising performance in image retrieval, face recognition, and clustering tasks. Deep metric learning algorithms ...
Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using massive models, thanks to pooling memory resources over Thunderbolt 5. One month ...
An online comment raised concerns about the randomisation scheme and allocation ratio in this cluster randomised study. There were discrepancies in the original data set for the cluster periods, which ...