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Primer on silicon neuromorphic photonic processors: architecture and compiler
Article
Article
Primer on silicon neuromorphic photonic processors: architecture and compiler
Ferreira de Lima Thomas et al · Wiley · 2020 · ISSN 2192-8606
Microelectronic computers have encountered challenges in meeting all of today’s demands for information processing. Meeting these demands will require the development of unconventional computers employing alternative p...
LCC TENDOlBoeXNpY3M~Idioma English
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Analysis of the mock-up of a reactor containment building: Comparison with experimental results
Article
Article
Analysis of the mock-up of a reactor containment building: Comparison with experimental results
Jiménez, S. et al · Elsevier Science SA · 2020 · ISSN 0029-5493
The results of a predictive analysis of the mock-up of a reactor containment building, based on computer numerical simulation, are presented in this paper and compared with the results obtained in the context of the VeRC...
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Matemáticas para informática /
Book
Book
Matemáticas para informática /
Gutiérrez García, Ismael · Universidad del Norte Editorial · 2013 · ISBN 9789587419344
Subjects / keywords: Computer science; Mathematics; Set theory; Problems, exercises, etc; Algorithms; Logic, Symbolic and mathematical; Problems and exercises; Electronic books
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SciPy 1.0: fundamental algorithms for scientific computing in Python
Article
Article
SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen; Ralf Gommers; Travis E. Oliphant; Matt Haberland; Tyler Reddy; David Cournapeau; Evgeni Burovski; Pearu Peterson · Nature Methods · 2020
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over ...
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Generative adversarial networks
Article
Article
Generative adversarial networks
Ian Goodfellow; Jean Pouget-Abadie; Mehdi Mirza; Bing Xu; David Warde-Farley; Sherjil Ozair; Aaron Courville; Yoshua Bengio · Communications of the ACM · 2020
Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn th...
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