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Introducing ‘Neuromorphic Computing and Engineering’
Neuromorphic Computing and Engineering, 2021 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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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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A Coupled Spintronics Neuromorphic Approach for High‐Performance Reservoir Computing
Advanced Intelligent Systems, 2022 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 Computing is Turing-Complete
Proceedings of the International Conference on Neuromorphic Systems 2022, 2022 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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Neuromorphic Photonics Circuits: Contemporary Review
Nanomaterials, 2023 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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Nanowire-based synaptic devices for neuromorphic computing
Materials Futures, 2023 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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Probing switching mechanism of memristor for neuromorphic computing
Nano Express, 2023 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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Computational Complexity of Neuromorphic Algorithms
International Conference on Neuromorphic Systems 2021, 2021 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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Magnetic Elements for Neuromorphic Computing [PDF]
Molecules, 2020 Neuromorphic computing is assumed to be significantly more energy efficient than, and at the same time expected to outperform, conventional computers in several applications, such as data classification, since it overcomes the so-called von Neumann bottleneck.
Tomasz Blachowicz, Andrea Ehrmann
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Neuromorphic Computing for Autonomous Racing
International Conference on Neuromorphic Systems 2021, 2021 Neuromorphic computing has many opportunities in future autonomous systems, especially those that will operate at the edge. However, there are relatively few demonstrations of neuromorphic implementations on real-world applications, partly because of the lack of availability of neuromorphic hardware and software, but also because of the lack of ...
Robert M. Patton +10 more
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