Efficient Networks, Inc. was a customer-premises equipment manufacturer. In 2000, it made plans to buy NetScreen Technologies, but abandoned it later that...

Software-defined networking (SDN) is an approach to network management that uses abstraction to enable dynamic and programmatically efficient network configuration...

and chess, an efficiently updatable neural network (NNUE, a Japanese wordplay on Nue, sometimes stylised as ƎUИИ) is a neural network-based evaluation...

congested network into an aggregation of smaller, more efficient networks. A router is an internetworking device that forwards packets between networks by processing...

The efficient-market hypothesis (EMH) is a hypothesis in financial economics that states that asset prices reflect all available information. A direct...

of telecommunication networks, including command and control radio networks, industrial fieldbusses and computer networks. Network topology is the topological...

presence of various diseases. Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences of variables...

Strategic network formation defines how and why networks take particular forms. In many networks, the relation between nodes is determined by the choice...

inspired by the structure and functions of biological neural networks. A neural network consists of connected units or nodes called artificial neurons...

emerging overlay network, and CoopNet content distribution system. DHT-based networks have also been widely utilized for accomplishing efficient resource discovery...

(2018). "5G NB-IoT: efficient network traffic filtering for multitenant IoT cellular networks". Security and Communication Networks. 2018: 1–21. doi:10...

of local area networks (LANs) in a city into a single larger network which may then also offer efficient connection to a wide area network. The term is...

private networks, it has also been proposed to select multicast trees according to network load conditions to more efficiently utilize available network capacity...

In network science, the efficiency of a network is a measure of how efficiently it exchanges information and it is also called communication efficiency...

network. For example, distributed systems such as peer-to-peer networks are overlay networks because their nodes form networks over existing network connections...

Samuel P. (February 2011). "Efficient Incremental Code Update for Sensor Networks". ACM Transactions on Sensor Networks. 7 (4): 30:1–30:32. doi:10.1145/1921621...

and efficient network function. Zonghua Liu et al. (2006) showed that congestion is more likely to occur at the nodes with high degrees in networks, and...

Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the...

EfficientNet is a family of convolutional neural networks (CNNs) for computer vision published by researchers at Google AI in 2019. Its key innovation...

The fat tree network is a universal network for provably efficient communication. It was invented by Charles E. Leiserson of the MIT in 1985. k-ary n-trees...

Amalavoyal N.; Devabhaktuni, Srikrishna; Preskill, John (August 1996). "Efficient networks for quantum factoring". Physical Review A. 54 (2): 1034–1063. arXiv:quant-ph/9602016...

darknet types are social networks (usually used for file hosting with a peer-to-peer connection), and anonymity proxy networks such as Tor via an anonymized...

social networks, wikis such as Wikipedia, gene networks, and even the underlying architecture of the Internet. It is the inspiration for many network-on-chip...

convolutional neural networks are not invariant to translation, due to the downsampling operation they apply to the input. Feedforward neural networks are usually...

addresses in the network is called the address space of the network. Examples of telecommunications networks include computer networks, the Internet, the...

orthogonal frequency-division multiplexing cellular networks. DSFN is based on the idea of single frequency networks, which is a group of radio transmitters that...

August 2022, Arista Networks acquired Pluribus Networks, a unified cloud network company, for an undisclosed sum. EOS is Arista's network operating system...

Recurrent neural networks (RNNs) are a class of artificial neural networks designed for processing sequential data, such as text, speech, and time series...

Network motifs are recurrent and statistically significant subgraphs or patterns of a larger graph. All networks, including biological networks, social...

the authors demonstrated it using multilayer perceptron networks and convolutional neural networks. Many alternative architectures have been tried. Deep...