In Russia, there is a shortage of PC storage devices (SDD drives and hard drives) - without them it is impossible to assemble ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

There are few industries these days that are not touched by artificial intelligence (AI). Networking is very much one that is touched. It is barely conceivable that any network of any reasonable size ...

Exascale computing can process over a quintillion operations every second — enabling supercomputers to perform complex simulations that were previously impossible. But how does it work? When you ...

Recently, deep learning (DL) methods based on deep neural networks (DNNs) were effectively used for processing different data (LeCun et al., 2015). In healthcare and elderly care, they become very ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

1 School of Artificial Intelligence, Hebei University of Technology, Tianjin, China 2 Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental ...

Spoiler: there isn’t just one network definition. Learn everything you need to assess various network types, topologies, and architectures. The simple network definition: a system that links other ...

For example, this summer, the National Institute of Standards and Technology released a set of quantum-proof encryption algorithms, so that the world has time to get ready for when quantum computers ...

Abstract: The aggregation of cigarette smoke is one of the key indicators when consumers taste cigarettes. The purpose of this study is to explore the characteristics of smoke images through computer ...