In this paper, intermittently controlled fractional-order fuzzy multilayer complex networks with short memory ... main results are applied in the typical model of fractional-order competitive neural ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Optical neural networks implemented with Mach-Zehnder Interferometer (MZI) arrays are a promising solution to enable fast and energy-efficient machine learning inference, yet finding a practical ...

Due to temporary technical difficulties, we are currently unable to provide purchase options via the NTU Online Store. We are working to resolve these issues as soon as possible, we apologise for any ...

Coinbase is exploring the possibility of offering tokenized shares of its stock, COIN, to U.S. users via Base, its Ethereum layer-2 network. Jesse Pollak, a Base developer, shared the news on January ...

which incorporates network slicing for multi-layer transport networks and enables real-time access to normalized data, facilitating autonomous network operation.