Results 41 to 50 of about 14,001 (185)
Review and outlook on synaptic devices and chips for neuromorphic systems
Gongneng cailiao yu qijian xuebaoAs the limitations of traditional von Neumann architecture in handling big data and artificial intelligence applications become increasingly apparent, new computing architectures such as Computing-In-Memory (CIM) and neuromorphic computing have gradually
Sai-ke ZHU, Yi ZHAO
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Self-Powered Memristive Systems for Storage and Neuromorphic Computing
Frontiers in Neuroscience, 2021 A neuromorphic computing chip that can imitate the human brain’s ability to process multiple types of data simultaneously could fundamentally innovate and improve the von-neumann computer architecture, which has been criticized.
Jiajuan Shi +7 more
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On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor [PDF]
, 2019 Recent work suggests that synaptic plasticity dynamics in biological models of neurons and neuromorphic hardware are compatible with gradient-based learning (Neftci et al., 2019).
Neftci, Emre +3 more
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Extremely low-power consumption nano-RTD photodetectors for future neuromorphic computing [PDF]
, 2021 This paper describes the fabrication of\ud nanometre-sized resonant tunnelling diode (RTD)\ud photodetector devices which may be used as excitable\ud neuromorphic spike generators. Submicron diameter\ud devices have been fabricated and exhibit peak\ud currents under 250 A, peak and valley voltages of\ud around 0.6 V and 0.8 V and a peak to valley ...
Al-Taai, Qusay Raghib Al +5 more
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Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
Nature CommunicationsBy mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence.
Man Yao +17 more
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ReSe2-Based RRAM and Circuit-Level Model for Neuromorphic Computing
Frontiers in Nanotechnology, 2021 Resistive random-access memory (RRAM) devices have drawn increasing interest for the simplicity of its structure, low power consumption and applicability to neuromorphic computing.
Yifu Huang +8 more
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Neuro-memristive Circuits for Edge Computing: A review
, 2018 The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure.
Chua, Leon O. +2 more
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Research on neuromorphic vision sensor and its applications
物联网学报, 2019 Neuromorphic vision sensor is a biologically inspired artificial neural system that mimics algorithmic behavior of biological vision systems,which has numerous advantages over standard vision sensors,such as high temporal resolution,low latency,low power,
Yongsheng SANG +4 more
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Advanced Materials, 2021 AbstractFerroelectrics have been demonstrated as excellent building blocks for high‐performance nonvolatile memories, including memristors, which play critical roles in the hardware implementation of artificial synapses and in‐memory computing. Here, it is reported that the emerging van der Waals ferroelectric α‐In2Se3 can be used to successfully ...
Fei Xue +15 more
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Tunneling magnetoresistance materials and devices for neuromorphic computing
Materials Futures, 2023 Artificial intelligence has become indispensable in modern life, but its energy consumption has become a significant concern due to its huge storage and computational demands.
Yuxuan Yao +7 more
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