Results 81 to 90 of about 66,767 (182)
SICE Journal of Control, Measurement, and System Integration, 2017 Central processing unit (CPU) and graphics processing unit (GPU) are weak (“weak” means inefficiency) at detecting information represented by search, reference and recognition for reason of computer architecture.
Katsumi Inoue, Cong-Kha Pham
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Augmenting Von Neumann's Architecture for an Intelligent Future
This work presents a novel computer architecture that extends the Von Neumann model with a dedicated Reasoning Unit (RU) to enable native artificial general intelligence capabilities. The RU functions as a specialized co-processor that executes symbolic inference, multi-agent coordination, and hybrid symbolic-neural computation as fundamental ...
Singh, Rajpreet, Kothari, Vidhi
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The usage of dataflow model in GPU and big data processing
大数据, 2020 Dataflow model is an efficient computing model.It has been widely used in software and hardware fields due to its natural advantages in parallelism.In terms of hardware architecture,the dataflow model leads the computer architecture to the direction of ...
Huayou SU +3 more
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Advances in flexible perovskite memristors for neuromorphic electronics
Materials FuturesThe rapid growth toward digitization and artificial intelligence for high-performance storage technologies has spurred the development of brain-inspired neuromorphic electronics. In the post-Moore era, the conventional von Neumann computing architecture,
Shuanglong Wang +6 more
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Integrated Photonic Computing beyond the von Neumann Architecture
ACS Photonics, 2023 Xiao-Yun Xu, Xian-Min Jin
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Annealing-inspired training of an optical neural network with ternary weights
Communications PhysicsArtificial neural networks (ANNs) represent a fundamentally connectionist and distributed approach to computing, and as such they differ from classical computers that utilize the von Neumann architecture.
Anas Skalli +5 more
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Results in EngineeringIn-memory computing (IMC) is a paradigm-shifting approach to data processing that eliminates the sluggishness of transferring data between memory and processing units. By integrating computation directly within the memory, IMC accelerates performance for
Mohith V, Sakthivel R
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The architecture of human mind, and non-von Neumann computer architecture
Studia Informatica. System and information technologyStructural plasticity in the brain (i.e. rewiring the connectome) may be viewed as mechanisms for dynamic reconfiguration of neural circuits. First order computations in the brain are done by static neural circuits, whereas higher order computations are done by dynamic reconfigurations of the links (synapses) between the neural circuits.
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A Quantum von Neumann Architecture for Large-Scale Quantum Computing
, 2017 As the size of quantum systems becomes bigger, more complicated hardware is required to control these systems. In order to reduce the complexity, I discuss the amount of parallelism required for a fault-tolerant quantum computer and what computation speed can be achieved in different architectures.
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Conventional Von Neumann and Neuromorphic Architecture of AI Chips
Highlights in Science, Engineering and TechnologyIn the background of the shortage of computing power in the training AI field, the current solutions and future outlooks will be shown if they tackle this dilemma. From the continuation of the traditional computer structure, Von Neumann structure, the three types of AI chips GPU, FPGA, and ASIC will be introduced and state their developments and ...
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