„Programming Language.“
Suchergebnisse
8.545 Treffer
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Understanding and evolving the Rust programming language
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Non-reformist reform for Haskell Modularity
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Justifying the strong memory semantics of concurrent high-level programming languages for system programming
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Language Support for Programming High-Performance Code
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On the performance of large language models on introductory programming assignments
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Logik für die Informatik – Eine Einführung in die Aussagenlogik, Prädikatenlogik und Berechenbarkeitstheorie
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Java: Objektorientiert programmieren – Vom objektorientierten Analysemodell bis zum objektorientierten Programm - Mit Einführung in UML 2, C++ und C#
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Natalio Krasnogor, Steve Gustafson, David A. Pelta, and Jose L. Verdegay (eds): Systems self-assembly: multidisciplinary snapshots – Elsevier, 2008, 310 pp, 41 colour plates, hard cover, $160 USD list price, ISBN 978-0-444-52865-0
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Book Review: the evolution of complexity
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Semantics of the Probabilistic Typed Lambda Calculus – Markov Chain Semantics, Termination Behavior, and Denotational Semantics
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Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning – Springer, Switzerland, 2021, 258 pp, (Hardcover), ISBN: 978-3-030-65926-4
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Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data
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Development of a generalized model for parallel-streaming neural element and structures for scalar product calculation devices
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Melanie Mitchell: Artificial intelligence—a guide for thinking humans – Picador, New York, 2019, 336 pp, ISBN: 978-1-250-75804-0
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Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all – Bloomsbury business, 2019, 344 pp., ISBN 9781472963888
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Foundations of programming languages – by Kent D. Lee Second Edition. Undergraduate Topics in Computer Science, Springer 2017, ISBN 978-3-319-70789-1, pp. 1–367
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Tim Taylor and Alan Dorin: Rise of the self-replicators—early visions of machines, AI and robots that can reproduce and evolve – Springer International Publishing, Cham, Switzerland, 121 pp, € 84.99 (Softcover), ISBN: 978-3-030-48,233-6
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Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way – Springer Nature Switzerland AG, 2019. ISBN 978-3-030-30370-9 ISBN 978-3-030-30371-6
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Arthur I. Miller: The artist in the machine: the world of AI-powered creativity – The MIT Press, 2019, 32 colour ills, 432 pp, ISBN: 9780262354592; 9780262539623
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Joseph E. Aoun: Robot-proof: higher education at the age of artificial intelligence – MIT Press, 2018, pp 216, ISBN: 978-0-262-53597-7