Sentence examples for massively parallel networks from inspiring English sources

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Normally closed (NC) valves based on pneumatic actuation not only address the above issue of portability, but also retain the ease of integrating massively parallel networks of microfluidic elements.

ANNs are massively parallel networks of processing elements or nodes that simulate biological learning.

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The massively parallel Network on Chip (mpNoC) was proposed to address the demand for parallel irregular communications for massively parallel processing System on Chip (mppSoC).

Watson, named after IBM's founder Thomas J. Watson, harnesses a massively parallel network of two to three thousand Power 7 computing cores in six refrigerator-sized containers.

Whether this model is viewed in virtual terms (as a property of a massively parallel neural network) or as reflecting the action of multiple independent "word detectors," it makes the prediction that a spoken word will be recognized as soon as the information becomes available in the speech stream that differentiates it from its competitors.

One major issue is that the traditional storage that feeds these massively parallel deep neural networks inside of the GPUs is serial, outdated, and unable to keep up.

The first suite consists of parallel programs designed for low-overhead Massively Parallel Processors (MPPs) and Networks of Workstations (NOWs).

Functional differences between people and machines, the nature of consciousness and intelligence, massively parallel computing and neural networks, and the concept of resonant synergism in human-machine interactions.

The latter emphasizes the massively parallel nature of brain networks and the fact that function also emerges from the flow of information between brain areas.

Active topics of investigation in Columbia involve systems biology, biological networks, massively parallel ("next generation") DNA sequencing, RNA sequencing, ChIP sequencing, analysis of transcription factor binding sites, single nucleotide polymorphisms, population genetics, molecular evolution, personalized medicine, tumor genomics.

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures.

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