Neuromorphic computing is an approach to computing that is inspired by the structure and function of the human brain. A neuromorphic computer/chip is any...
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Optical computing or photonic computing uses light waves produced by lasers or incoherent sources for data processing, data storage or data communication...
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Machine learning (section Neuromorphic computing)
infrastructure, especially in cloud-based environments. Neuromorphic computing refers to a class of computing systems designed to emulate the structure and functionality...
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can be computed equally efficiently with neuromorphic quantum computing. Both traditional quantum computing and neuromorphic quantum computing are physics-based...
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systems and military vehicles. The edge processors that will be used are neuromorphic processors that will perform neural network computations on the sensor...
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Neuromorphic Computing Steadily Advances". Calimera, Andrea; Macii, Enrico; Poncino, Massimo (2013-08-20). "The human brain project and neuromorphic computing"...
41 KB (4,538 words) - 16:21, 4 August 2025
Cognitive computer (redirect from Neuromorphic chip)
of the human brain. It generally adopts a neuromorphic engineering approach. Synonyms include neuromorphic chip and cognitive chip. In 2023, IBM's proof-of-concept...
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can be computed equally efficiently with neuromorphic quantum computing. Both traditional quantum computing and neuromorphic quantum computing are physics-based...
114 KB (12,541 words) - 06:48, 6 August 2025
Spintronics (redirect from Spin computing)
alloys and are of particular interest in the field of quantum computing and neuromorphic computing, which leads to research requirements around hyperdimensional...
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air-conditioned environment. SpiNNaker is being used as one component of the neuromorphic computing platform for the Human Brain Project. On 14 October 2018 the HBP...
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photonic integrated circuits, and neuromorphic computing. He holds the Canada Research Chair in neuromorphic photonic computing and is a faculty member in Physics...
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architectures. Crossbar latches have been suggested as components of neuromorphic computing systems. One implementation of this is in the form of a neural network...
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learning and quantum devices is leading to the emergence of quantum neuromorphic computing as a new research area. Gaussian states are a paradigmatic class...
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neuromorphic processor, a hardware implementation of their spiking neural network system. BrainChip's technology is based on a neuromorphic computing...
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Neuroscience (section Neuromorphic computer chips)
Project and neuromorphic computing". Functional Neurology. 28 (3): 191–6. PMC 3812737. PMID 24139655. "Beyond von Neumann, Neuromorphic Computing Steadily...
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Analog computer (redirect from Analog computing)
equations using analog circuits. Analog computers are also used in neuromorphic computing, and in 2021 a group of researchers have shown that a specific type...
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"DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor". Neuromorphic Computing and Engineering. 4 (1): 014003. doi:10...
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warm depending on temperature, aerospace communication systems and neuromorphic computing. It occurs in nature as the mineral paramontroseite. At temperatures...
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(2018-12-01). "ECRAM as Scalable Synaptic Cell for High-Speed, Low-Power Neuromorphic Computing". 2018 IEEE International Electron Devices Meeting (IEDM). pp. 13...
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computing from 2020 to the present. For narratives explaining the overall developments, see the history of computing. Significant events in computing...
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quantum computing. The paper was submitted in June 1979 and published in April 1980. Yuri Manin briefly motivates the idea of quantum computing. Tommaso...
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process biosensing signals, for neuromorphic computing and/or direct communication with biological neurons. Organic neuromorphic circuits made out of polymers...
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and developing more efficient approaches to AI development using neuromorphic computing. Hulme founded Satalia in 2008, a company that provides AI products...
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Quantum memristor (category Quantum computing)
quantum memristors can be used for nonlinear quantum computing. Memristor Quantum computing Neuromorphic engineering Quantum thermodynamics Pfeiffer, P.;...
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Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology...
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Carver Mead (section Neural models of computing)
and Events. October 22, 2003. Furber, Steve (2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 051001. Bibcode:2016JNEng...
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Computing". Communications of the ACM. Roy, K.; Jaiswal, A.; Panda, P. (2019). "Towards spike-based machine intelligence with neuromorphic computing"...
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[[file:|Kateryna Yushchenko (scientist)|0px|alt=]] Women in computing were among the first programmers in the early 20th century, and contributed substantially...
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become the underlying computing structures with addition, multiplication, permutation, mapping, and inverse as primitive computing operations. All computational...
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Future of Humanity Institute Human Brain Project Multi-agent system Neuromorphic computing Never-Ending Language Learning Nick Bostrom Outline of artificial...
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