Results 31 to 40 of about 1,614,108 (280)
Introducing ‘Neuromorphic Computing and Engineering’
Abstract The standard nature of computing is currently being challenged by a range of problems that start to hinder technological progress. One of the strategies being proposed to address some of these problems is to develop novel brain-inspired processing methods and technologies, and apply them to a wide range of application ...
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A Coupled Spintronics Neuromorphic Approach for High‐Performance Reservoir Computing
The rapid development in the field of artificial intelligence has increased the demand for neuromorphic computing hardware and its information‐processing capability.
Nozomi Akashi +8 more
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Neuromorphic Photonics Circuits: Contemporary Review
Neuromorphic photonics is a cutting-edge fusion of neuroscience-inspired computing and photonics technology to overcome the constraints of conventional computing architectures. Its significance lies in the potential to transform information processing by
Ruslan V. Kutluyarov +4 more
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Neuromorphic Computing is Turing-Complete
Neuromorphic computing is a non-von Neumann computing paradigm that performs computation by emulating the human brain. Neuromorphic systems are extremely energy-efficient and known to consume thousands of times less power than CPUs and GPUs. They have the potential to drive critical use cases such as autonomous vehicles, edge computing and internet of ...
Prasanna Date +3 more
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Nanowire-based synaptic devices for neuromorphic computing
The traditional von Neumann structure computers cannot meet the demands of high-speed big data processing; therefore, neuromorphic computing has received a lot of interest in recent years.
Xue Chen +5 more
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Emerging memristive neurons for neuromorphic computing and sensing
Inspired by the principles of the biological nervous system, neuromorphic engineering has brought a promising alternative approach to intelligence computing with high energy efficiency and low consumption.
Zhiyuan Li +4 more
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Halide Perovskites for Neuromorphic Computing
The next generation of neuromorphic computing, which is related to emulating the neural structure and operation of the human brain, will extend into areas that correspond to human cognition, such as interpretation and autonomous adaptation.
Anthopoulos, Thomas D. +6 more
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Computational Complexity of Neuromorphic Algorithms
Neuromorphic computing has several characteristics that make it an extremely compelling computing paradigm for post Moore computation. Some of these characteristics include intrinsic parallelism, inherent scalability, collocated processing and memory, and event-driven computation.
Prasanna Date +4 more
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Probing switching mechanism of memristor for neuromorphic computing
In recent, neuromorphic computing has been proposed to simulate the human brain system to overcome bottlenecks of the von Neumann architecture. Memristors, considered emerging memory devices, can be used to simulate synapses and neurons, which are the ...
Zhe Yang +5 more
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Neuromorphic Computing based on Oscillatory Neural Networks
International audienceNeuro-inspired computing employs technologies that enable brain-inspired computing hardware for more efficient and adaptive intelligent systems.
Todri-Sanial, Aida
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