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* [[NPU terminology]] (Nomenclature for Properties and Units), for the clinical laboratory sciences * [[Network processing unit]], hardware for networking ...

...utation explains [[cognition]]. The first persons to propose an account of neural activity as being computational was [[Warren Sturgis McCulloch|Warren McCul ...- the neuron either fires an action potential or it does not. Accordingly, neural spike trains could be seen as strings of digits. Alternatively, analog comp ...

...ks of coding bits, sometimes with additional extra pre-processing and post-processing steps. [[Block Truncation Coding]] is a very simple example of this family ...]]s. Texture compression may also be used together with other forms of map processing such as [[MIP map]]s and [[anisotropic filtering]]. ...

* [[Kernel (image processing)]], a matrix used for image convolution ...ocessing units (software)|general-purpose computing on graphics processing units]] ...

...he tasks (while other designs used three separate hardware special-purpose units instead). ...uthor=Gilbert Kalb and Robert Moxley|title=Massively Parallel, Optical and Neural Computing in the United States|year=1992|publisher=IOS Press|isbn=978905199 ...

{{Short description|Artificial neural network}} '''NETtalk''' is an [[artificial neural network]] that learns to pronounce written English text by supervised learn ...

...f> He made other fundamental contributions to the development of [[signal processing]] in the fields of geophysics, adaptive antennas, and [[adaptive filtering] ...1343aa7acb6a06a751e7-Abstract.html |journal=Advances in Neural Information Processing Systems |publisher=Morgan-Kaufmann |volume=2}}</ref><ref>{{Citation |title= ...

{{Short description|Study of speech signals and the processing methods of these signals}} ...electronic speech processing|speech processing in the human brain|Language processing in the brain}} ...

...sing theory|processes information]]. It describes a number of [[artificial neural network]] models which use [[supervised learning|supervised]] and [[unsuper There are two basic methods of training ART-based neural networks: slow and fast. In the slow learning method, the degree of trainin ...

{{Short description|Brain processing function}} ...=1990 |title=On the control of automatic processes: A parallel distributed processing account of the Stroop effect. |journal=Psychological Review |volume=97 |iss ...

...or = [[Connectionism]]<br />[[Artificial neural network|Artificial neural network modeling]]<br />[[Deep Learning]]<br />Applications of [[backpropag ...hology]], [[symbolic artificial intelligence]], and [[parallel distributed processing]]. He also admired formal [[Linguistics|linguistic]] approaches to cognitio ...

...the basis behind the human method of [[Information processing (psychology)|processing of information]]. Early on computational cognitive scientists sought to bri ...deling. Connectionism relies on the idea that the brain consists of simple units or nodes and the behavioral response comes primarily from the layers of con ...

...mpbell |first2=Ruth |title=Reading Speech from Still and Moving Faces: The Neural Substrates of Visible Speech |journal=Journal of Cognitive Neuroscience |da Applications for the study of visemes include [[speech processing]], [[speech recognition]], and [[computer facial animation]]. ...

...ently when compared to [[software]] running on a general-purpose [[central processing unit]] (CPU). Any [[function (mathematics)|transformation]] of [[data (comp ...creasing Digital Filter Performance Based on Truncated Multiply-Accumulate Units|journal=Applied Sciences|language=en|volume=10|issue=24|pages=9052|doi=10.3 ...

{{Short description|Physical implementation of an artificial neural network with optical components}} | image1 = Optical logic gate with diffractive neural network.png ...

...g to this type, though a purist might say that the data is different after processing by each stage in the pipeline. [[Fault tolerance]] executing the same instr ...can also be very good at machine learning by implementing self-configuring neural nets in hardware. ...

...|last2=Birch |title=Neural Machine Translation of Rare Words with Subword Units |date=2015-08-31 |last3=Haddow |first3=Barry}}</ref><ref>{{cite arXiv |epri ...e model|language modeling]], especially for large language models based on neural networks. Compared to the original BPE, the modified BPE does not aim to ma ...

{{short description|Type of artificial neural network}} {{Machine learning|Artificial neural network}} ...

...geneous [[Graph (discrete mathematics)|network]] of tightly coupled [[data processing unit]]s (DPUs) called cells or [[Node (computer science)|node]]s. Each node ...f new data and always process the data in exactly the same way. The actual processing within each node may be hard wired or block [[microcode|micro code]]d, in w ...

{{short description|Quantum Mechanics in Neural Networks}} ...twork - basic scheme with legends.png|thumb|Simple model of a feed forward neural network. For a deep learning network, increase the number of hidden layers. ...