Spiking Neural Networks (SNNs) is regarded as the next generation of Artificial Neural Networks (ANNs) and an alternative to Convolutional Neural Networks (CNNs). The CNN– SNN conversion is considered ...

The deep convolutional neural network (CNN) is the state-of-the-art solution for large-scale visual recognition. Following some basic principles such as increasing network depth and constructing ...

Recently, the graph convolutional network (GCN) has drawn increasing attention in the hyperspectral image (HSI) classification. Compared with the convolutional neural network (CNN) with fixed square ...

Accurate morphological reconstruction of neurons in whole brain images is critical for brain science research. However, due to the wide range of whole brain imaging, uneven staining, and optical ...

The neuromorphic approach of fulfilling brain-like edge intelligence is confronted with three paramount challenges: 1) ever-increasing application demands versus insufficient on-chip resources; 2) ...

Media CNN has 'tears on the horizon' as Warner Bros. Discovery plots network spinoff, industry insiders say ‘Everyone should feel some sympathy for what’s about to happen,’ a media insider ...