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Spintronics for Neuromorphic Engineering
2021Today’s machine learning and artificial neural networks rely heavily on conventional electronic circuits. Progress in machine learning models and algorithms will eventually be limited by issues such as high power dissipation and scaling challenges posed by CMOS, and it is necessary to resolve these through a bottom-up approach.
Gerard Joseph Lim +2 more
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2021
The brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or behavior. The brain cannot be downloaded to a computer to provide immortality, nor can it destroy the world by having its emerged consciousness traveling in cyberspace ...
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The brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or behavior. The brain cannot be downloaded to a computer to provide immortality, nor can it destroy the world by having its emerged consciousness traveling in cyberspace ...
openaire +1 more source
Third-order nanocircuit elements for neuromorphic engineering
Nature, 2020Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on elaborate transistor circuits to simulate biological functions. However, these can instead be more faithfully emulated by higher-order circuit elements that naturally express neuromorphic nonlinear dynamics1-4.
Suhas Kumar +2 more
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How we created neuromorphic engineering
Nature Electronics, 2020Neuromorphic engineering aims to create computing hardware that mimics biological nervous systems, and it is expected to play a key role in the next era of hardware development. Carver Mead recounts how it all began.
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Dot-product engine for neuromorphic computing
Proceedings of the 53rd Annual Design Automation Conference, 2016Vector-matrix multiplication dominates the computation time and energy for many workloads, particularly neural network algorithms and linear transforms (e.g, the Discrete Fourier Transform). Utilizing the natural current accumulation feature of memristor crossbar, we developed the Dot-Product Engine (DPE) as a high density, high power efficiency ...
Miao Hu +9 more
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SpiNNaker: Distributed Computer Engineering for Neuromorphics
2011SpiNNaker is a biologically-inspired massively-parallel computer architecture optimized specifically for modeling large-scale systems of spiking neurons in biological real time. The biological inspiration is manifest in the lightweight inter-processor communications architecture, which enables a “spike” generated by a neuron modeled
Lester, David, Furber, Steve
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Neuromorphic Engineering: From Materials to Device Application
Advanced Materials, 2023J. Joshua Yang +3 more
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Neuroelectronic interface and neuromorphic engineering
Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems, 2023openaire +1 more source