Results 281 to 290 of about 5,558,287 (332)
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APACHE-A Breakthrough in Analog Computing
IEEE Transactions on Electronic Computers, 1962This paper describes the working of the APACHE (Analog Programing And CHEcking) system for the production of analog computer programs using a digital computer, which has been developed jointly by digital and analog programers at the computation center of EURATOM in Ispra, Italy.
Clement Green +2 more
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Energy-Efficient Programable Analog Computing: Analog computing in a standard CMOS process
IEEE Solid-State Circuits MagazineWhen I started working on analog computing for neural network systems in the 1980s, the question everyone feared to be asked at the end of their presentation was “couldn’t this be done on a DSP processor?” Carver Mead provided a theoretical and intuitive
J. Hasler
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Accuracy of an Analog Computer
Transactions of the I.R.E. Professional Group on Electronic Computers, 19531. To determine how accurate the computing components representing a given variable have to be, assume that they constitute one more piece of measuring equipment which must handle the data before it is fed into an ideal computer. 2. In general, the components of an analog computer must have individual accuracies consistent with the measuring equipment ...
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The promise of analog computation
International Journal of General Systems, 2014Future computing paradigms and technologies will have to be more like the physical processes by which they are realized, and because these processes are primarily continuous, post-Moore’s law computing will involve an increased use of analog computation.
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Digital Scholarship in the Humanities
Abstract The digital machine is analogical by design: with it, we construct models of phenomena that by definition of that term are necessarily partial approximations. For that reason, we learn more by conceiving of them as analogues rather than imperfect copies. As the foofaraw over AI would make clear to anyone who bothered to separate
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Abstract The digital machine is analogical by design: with it, we construct models of phenomena that by definition of that term are necessarily partial approximations. For that reason, we learn more by conceiving of them as analogues rather than imperfect copies. As the foofaraw over AI would make clear to anyone who bothered to separate
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Optical analog computing of spatial differentiation and edge detection with dielectric metasurfaces.
Optics Letters, 2020We propose and demonstrate that optical analog computing of spatial differentiation and edge detection can be realized with a single layer of dielectric metasurface. The optical transfer function for second-order derivation is obtained by engineering the
Lei Wan +8 more
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The Next Generation of Deep Learning Hardware: Analog Computing
Proceedings of the IEEE, 2019Initially developed for gaming and 3-D rendering, graphics processing units (GPUs) were recognized to be a good fit to accelerate deep learning training.
W. Haensch, T. Gokmen, R. Puri
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Optical analog computing of two-dimensional spatial differentiation based on the Brewster effect.
Optics Letters, 2020Optical analog computing has attracted widespread attention in recent decades due to its advantages of lower consumption, higher efficiency, and real-time imaging in image processing.
Dingyu Xu +5 more
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2007
It is clear that digital signal processing is growing in importance, fulfilling functions that were once carried out exclusively by analog means. At the same time the analog point of view, as represented by neural networks and adaptive control is also developing in new directions.
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It is clear that digital signal processing is growing in importance, fulfilling functions that were once carried out exclusively by analog means. At the same time the analog point of view, as represented by neural networks and adaptive control is also developing in new directions.
openaire +2 more sources

