Results 41 to 50 of about 37,924 (271)
Nanotechnology, 2019 Abstract Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical way, by enabling machine learning in the industry, business, health, transportation, and many other fields. The ability to recognize objects, faces, and speech, requires, however, exceptional computational power and time, which is ...
Ielmini, Daniele, Ambrogio, Stefano
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Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]
, 2019 On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott +56 more
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Six networks on a universal neuromorphic computing substrate [PDF]
, 2013 In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural networks. At the heart of this system lies a mixed-signal chip, with analog implementations of neurons and synapses and ...
Andreas eGrübl +10 more
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Toward a neuromorphic microphone [PDF]
Frontiers in Neuroscience, 2015 Neuromorphic systems are used in variety of circumstances: as parts of sensory systems, for modeling parts of neural systems and for analog signal processing. In the sensory processing domain, neuromorphic systems can be considered in three parts: pre-transduction processing, transduction itself, and post-transduction processing.
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Research, 2022 As the emerging member of zero-dimension transition metal dichalcogenide, WSe2 quantum dots (QDs) have been applied to memristors and exhibited better resistance switching characteristics and miniaturization size.
Zhongrong Wang +15 more
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A Biologically Inspired Sound Localisation System Using a Silicon Cochlea Pair
Applied Sciences, 2021 We present a biologically inspired sound localisation system for reverberant environments using the Cascade of Asymmetric Resonators with Fast-Acting Compression (CAR-FAC) cochlear model. The system exploits a CAR-FAC pair to pre-process binaural signals
Ying Xu +6 more
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The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems
, 2018 Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of neural ...
Manohar, Rajit, Moradi, Saber
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Nano Convergence, 2023 The interplay between ferromagnetism and the non-trivial topology has unveiled intriguing phases in the transport of charges and spins. For example, it is consistently observed the so-called topological Hall effect (THE) featuring a hump structure in the
Seong Won Cho +10 more
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Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity
, 2016 Spike-timing-dependent plasticity (STDP) incurs both causal and acausal synaptic weight updates, for negative and positive time differences between pre-synaptic and post-synaptic spike events.
Augustine, Charles +8 more
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Preparation and transport property of nano-Li4Ti5O12 anode materials
Cailiao gongcheng, 2021 Li4Ti5O12 (LTO) anode materials are successfully prepared by sol-gel method using butyl phthalate and lithium acetate as precursors.The phase and morphology of the material were characterized by X-ray diffraction,scanning electron microscopy and ...
LIAN Tian-rou +6 more
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