Results 11 to 20 of about 28,339 (330)
Physics for neuromorphic computing [PDF]
Nature Reviews Physics, 2020 Neuromorphic computing takes inspiration from the brain to create energy efficient hardware for information processing, capable of highly sophisticated tasks. In this article, we make the case that building this new hardware necessitates reinventing electronics. We show that research in physics and material science will be key to create artificial nano-
Danijela Marković +3 more
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Neuromorphic quantum computing
Physical Review E, 2022 9 pages, 8 ...
Pehle, Christian, Wetterich, Christof
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Elements, 2022 In the face of increasingly large computational demands and the impending halt to Moore's law, the semiconductor industry has been forced to re-evaluate the traditional computing paradism. Central to this re-evaluation has been the novel development of neuromorphic computing - an approach that, at its core, seeks to replicate the brain in silicon ...
null Elements, Will Riherd
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The Electrochemical Society Interface, 2023 Neuromorphic computing is a rapidly emerging field that seeks to emulate the computational principles of the brain using novel materials and devices. While traditional computing architectures, such as the von Neumann architecture, have experienced exponential improvements in computational power due to the continuous shrinkage of transistor technology ...
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Quantum neuromorphic computing [PDF]
Applied Physics Letters, 2020 Quantum neuromorphic computing physically implements neural networks in brain-inspired quantum hardware to speed up their computation. In this perspective article, we show that this emerging paradigm could make the best use of the existing and near future intermediate size quantum computers.
Marković, Danijela, Grollier, Julie
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Neuromorphic Photonic On-Chip Computing
ChipsDrawing inspiration from biological brain's energy-efficient information-processing mechanisms, photonic integrated circuits (PIC) have facilitated the development of ultrafast artificial neural networks. This in turn is envisaged to offer potential solutions to the growing demand for artificial intelligence employing machine learning in ...
Sujal Gupta, Jolly Xavier
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Neuromorphic Computing Primitives Using Polymer-Networked Nanoparticles. [PDF]
J Phys Chem C Nanomater InterfacesZhao Y, Wei X, Hernandez R.
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Emerging Opportunities for 2D Materials in Neuromorphic Computing
Nanomaterials, 2023 Recently, two-dimensional (2D) materials and their heterostructures have been recognized as the foundation for future brain-like neuromorphic computing devices.
Chenyin Feng +6 more
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Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor [PDF]
, 2018 Neuromorphic computing is a new paradigm for design of both the computing hardware and algorithms inspired by biological neural networks. The event-based nature and the inherent parallelism make neuromorphic computing a promising paradigm for building ...
Glatz, Sebastian +4 more
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Biologically-Inspired Neuromorphic Computing [PDF]
Science Progress, 2019 Advances in integrated circuitry from the 1950s to the present day have enabled a revolution in technology across the world. However, fundamental limits of circuitry make further improvements through historically successful methods increasingly challenging.
Wilkie Olin-Ammentorp, Nathaniel Cady
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