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An Energy Efficient Memory Cell for Quantum and Neuromorphic Computing at Low Temperatures. [PDF]
Nano LettHan Y +9 more
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Dual SOT Switching Modes in a Single Device Geometry for Neuromorphic Computing. [PDF]
Nano LettRanjan A +9 more
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International Journal on Advanced Computer Theory and EngineeringThe exponential growth of data and information has stimulated technological progress in computing systems that utilize them to effectively discover patterns and produce important insights. Neural network algorithms have been applied to conventional silicon transistor-based hardware to do highly parallel computations, drawing inspiration from the ...
Devendra G. Pandey +2 more
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Insect-inspired neuromorphic computing
Current Opinion in Insect Science, 2018 The steady improvement in the performance of computing systems seen for many decades is levelling off as the miniaturization of semiconducting technology approaches the atomic limit, facing severe physical and technological issues. Neuromorphic computing is an emerging solution which makes use of silicon technology in a different way, inline with the ...
Dalgaty, Thomas +3 more
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Generative Data for Neuromorphic Computing
Proceedings of the Annual Hawaii International Conference on System SciencesNeuromorphic computing is a next-generation model of computation that leverages biologically-inspired artificial neurons to perform complex tasks. Unlike neurons found within traditional Artificial Neural Networks (ANNs), which output on a continuous ...
Anthony Baietto, Trevor Bihl
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Photonics for Neuromorphic Computing
2018 European Conference on Optical Communication (ECOC), 2018An emerging field at the nexus of photonics/neuroscience, neuromorphic photonics combines the advantages of optics/electronics. In this tutorial, we will look at challenges of photonic information processing, describe photonic neural-network approaches, and offer a glimpse at this field's future.
Paul R. Prucnal +5 more
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Neuromorphic computing using non-volatile memory [PDF]
Advances in Physics: X, 2017 Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient neuromorphic computing systems.
Geoffrey W Burr +2 more
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Memristor in neuromorphic computing
2012 IEEE International SOC Conference, 2012As technology scaling down becomes more and more difficult, the traditional von Neumann computer architecture cannot satisfy people's unlimited demand on high performance computation. Consequently, the neuromorphic hardware systems providing the capabilities of biological perception and information processing at compact and energy-efficient platform ...
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Neuromorphic computing at scale
NatureNeuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficient computational systems, often for applications with size, weight and power constraints.
Dhireesha Kudithipudi +22 more
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