Results 21 to 30 of about 66,767 (182)
Resources, 2022 Improving road safety is not only reliant on engineering aspects but also on the surrounding landscape, which plays an indispensable role in drivers’ visual perception.
Mahsa Habibi +2 more
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Logic-in-Memory Computation: Is It Worth it? A Binary Neural Network Case Study
Journal of Low Power Electronics and Applications, 2020 Recently, the Logic-in-Memory (LiM) concept has been widely studied in the literature. This paradigm represents one of the most efficient ways to solve the limitations of a Von Neumann’s architecture: by placing simple logic circuits inside or near
Andrea Coluccio +2 more
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Synapse-Mimetic Hardware-Implemented Resistive Random-Access Memory for Artificial Neural Network
Sensors, 2023 Memristors mimic synaptic functions in advanced electronics and image sensors, thereby enabling brain-inspired neuromorphic computing to overcome the limitations of the von Neumann architecture.
Hyunho Seok +4 more
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Horticulturae, 2022 In contrast to other European countries, the nurseries in Hungary mainly use Myrobalan seedlings as rootstock for plum trees; no experience with other rootstocks is available yet.
Anikó Kajtár-Czinege +2 more
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Nature Communications, 2022 The conventional von Neumann computing architecture is ill suited to data intensive tasks as data must be repeated moved between the separated processing and memory units.
Seokho Seo +12 more
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Advanced Electronic Materials, 2023 Traditional computation based on von Neumann architecture is limited by time and energy consumption due to data transfer between the storage and the processing units. The von Neumann architecture is also inefficient in solving unstructured, probabilistic,
Dheemahi Rao +3 more
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Flash Memory Array for Efficient Implementation of Deep Neural Networks
Advanced Intelligent Systems, 2021 The advancement of artificial intelligence applications is promoted by developing deep neural networks (DNNs) with increasing sizes and putting forward higher computing power requirements of the processing devices.
Runze Han +5 more
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Nanoscale Research Letters, 2019 With Moore’s law closing to its physical limit, traditional von Neumann architecture is facing a challenge. It is expected that the computing in-memory architecture-based resistive random access memory (RRAM) could be a potential candidate to overcome ...
Zhen-Yu He +6 more
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All-optical computing based on convolutional neural networks
Opto-Electronic Advances, 2021 The rapid development of information technology has fueled an ever-increasing demand for ultrafast and ultralow-energy-consumption computing. Existing computing instruments are pre-dominantly electronic processors, which use electrons as information ...
Kun Liao +9 more
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A Quantum Computer Architecture using Nonlocal Interactions [PDF]
, 2003 Several authors have described the basic requirements essential to build a scalable quantum computer. Because many physical implementation schemes for quantum computing rely on nearest neighbor interactions, there is a hidden quantum communication ...
Brennen, Gavin K. +2 more
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