How does the brain learn? Does it acquire new knowledge by creating new neural pathways or by strengthening existing ...
Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI demonstrates brain-faithful training on convolutional networks for the first time ...
Summary: A study demonstrates that learning in neural networks is driven primarily by adjusting the strength of existing ...
Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...
Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...