Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

Chunking is a term that has worked its way into the language of golf architecture as more designers have embraced blowout bunkers, bunkers with native grasses around them, sandscapes, and just about ...

Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...

Abstract: Federated learning is a distributed machine-learning technique that allows multiple clients to collaboratively train a model without sharing their local raw data. In existing federated ...