Results 21 to 30 of about 7,731 (250)
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
doaj +1 more source
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 ...
openaire +3 more sources
Low-Power Memristor for Neuromorphic Computing: From Materials to Applications [PDF]
Nano-Micro LettersJialin Meng, Meng Jialin
exaly +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
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
openaire +2 more sources
Neuromorphic computing with spintronics
npj SpintronicsAbstract Spintronics and magnetic materials exhibit many physical phenomena that are promising for implementing neuromorphic computing natively in hardware. Here, we review the current state-of-the-art, focusing on the areas of spintronic synapses, neurons, and neural networks.
Marrows, C.H. +3 more
openaire +2 more sources