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Advanced Intelligent Systems, 2021 Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in‐memory computing, artificial sensory perception, and humanoid robotics ...
Sung Woon Cho +3 more
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Neuromorphic antennal sensory system
Nature CommunicationsInsect antennae facilitate the nuanced detection of vibrations and deflections, and the non-contact perception of magnetic or chemical stimuli, capabilities not found in mammalian skin. Here, we report a neuromorphic antennal sensory system that emulates
Chengpeng Jiang +6 more
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Proposition of Adaptive Read Bias: A Solution to Overcome Power and Scaling Limitations in Ferroelectric‐Based Neuromorphic System [PDF]
Advanced ScienceHardware neuromorphic systems are crucial for the energy‐efficient processing of massive amounts of data. Among various candidates, hafnium oxide ferroelectric tunnel junctions (FTJs) are highly promising for artificial synaptic devices.
Ryun‐Han Koo +9 more
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Low Power Optoelectronic Neuromorphic Memristor for In‐Sensor Computing and Multilevel Hardware Security Communications [PDF]
Advanced ScienceConventional software‐based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption.
Bo Sun +3 more
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Recent advances in neuromorphic transistors for artificial perception applications
Science and Technology of Advanced Materials, 2023 Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning.
Wei Sheng Wang, Li Qiang Zhu
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IEEE Access, 2023 This paper presents a new scalable $8\times8$ single photon avalanche diode (SPAD) based vision sensor with integrated spiking neuromorphic system on a single chip.
Mst Shamim Ara Shawkat +4 more
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Neuromorphic artificial intelligence systems
Frontiers in Neuroscience, 2022 Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical neural networks, have a number of fundamental limitations in comparison with the mammalian brain. In this article we discuss these limitations and ways to mitigate them. Next, we present an overview of currently available neuromorphic AI projects in which these
Dmitry Ivanov +6 more
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Emerging memristive neurons for neuromorphic computing and sensing
Science and Technology of Advanced Materials, 2023 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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Neuromorphic motivated systems [PDF]
The 2011 International Joint Conference on Neural Networks, 2011 Although reinforcement learning has been extensively modeled, few agent models that incorporate values use biologically plausible neural networks as a uniform computational architecture. We call biologically plausible neural network architecture neuromorphic. This paper discusses some theoretical constraints on neuromorphic intrinsic value systems [3].
James C. Daly +2 more
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A 3D-printed neuromorphic humanoid hand for grasping unknown objects
iScience, 2022 Summary: Compared with conventional von Neumann’s architecture-based processors, neuromorphic systems provide energy-saving in-memory computing. We present here a 3D neuromorphic humanoid hand designed for providing an artificial unconscious response ...
Chao Bao +3 more
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