Results 71 to 80 of about 248,231 (183)
The Laminar Architecture of Visual Cortex and Image Processing Technology [PDF]
The mammalian neocortex is organized into layers which include circuits that form functional columns in cortical maps. A major unsolved problem concerns how bottom-up, top-down, and horizontal interactions are organized within cortical layers to generate
Grossberg, Stephen
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Digital-analog quantum algorithm for the quantum Fourier transform
Quantum computers will allow calculations beyond existing classical computers. However, current technology is still too noisy and imperfect to construct a universal digital quantum computer with quantum error correction.
Ana Martin +3 more
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Lewis hybrid computing system, users manual [PDF]
The Lewis Research Center's Hybrid Simulation Lab contains a collection of analog, digital, and hybrid (combined analog and digital) computing equipment suitable for the dynamic simulation and analysis of complex systems.
Bruton, W. M., Cwynar, D. S.
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SRAM-based Compute-In-Memory (CIM) has two main paradigms: Digital domain and Analog domain, where both have been extensively explored to overcome the von-Neumann bottleneck and enhance energy efficiency.
Honggu Kim +4 more
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This paper proposes a hybrid deep neural network (DNN) for automatic speech recognition and an energy-efficient reconfigurable architecture with approximate computing for accelerating the DNN.
Bo Liu +5 more
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NP-complete Problems and Physical Reality
Can NP-complete problems be solved efficiently in the physical universe? I survey proposals including soap bubbles, protein folding, quantum computing, quantum advice, quantum adiabatic algorithms, quantum-mechanical nonlinearities, hidden variables ...
Aaronson, Scott
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Analog Electronic Neural Networks: Analog Computing Combined with Digital Data Processing Revisited
Analog computing had its prime in the years from 1960 to 1970. With the rise of powerful digital computers, analog computing using transistor and Operational Amplififer (OPAMP) circuits vanished nearly completely but gained an increasing interest in ...
Stefan Bosse, Björn Lüssem
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A near-threshold memristive computing-in-memory engine for edge intelligence
Memristive computing-in-memory and near-threshold computing are two unconventional computing paradigms that can potentially enhance the energy efficiency and real-time performance of edge devices.
Linfang Wang +14 more
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Analog Convolution Circuit System Implemented With Capacitor Array Superposition
This paper presents an architecture for analog convolution computing based on fundamental series-parallel capacitor configurations. The convolution results are digitized through a capacitance-difference-to-digital converter (CDDC), enabling efficient ...
Chung-Yi Wang +2 more
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All Solution-Processed Inorganic, Multilevel Memristors Utilizing Liquid Metals Electrodes Suitable for Analog Computing. [PDF]
Zaheer M +13 more
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