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Neural Inspired Architectures for Nanoelectronics

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Computational and Ambient Intelligence (IWANN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4507))

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Abstract

Extremely down-scaled field effect transistor, innovative manufacturing of semiconductors, novel material and computing devices have led to rapid changes in the semiconductor industry which now allows more complex systems and more computing power per chip area than several years ago. Albeit these significant improvements novel technology nodes also offer unsolved problems to researchers and challenges to the designers. In this paper, we give a brief overview about actual trends and problems in the semiconductor industry and how the upcoming tasks can be solved by the designers and researchers.

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Francisco Sandoval Alberto Prieto Joan Cabestany Manuel Graña

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© 2007 Springer-Verlag Berlin Heidelberg

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Eickhoff, R., Kaulmann, T., Rückert, U. (2007). Neural Inspired Architectures for Nanoelectronics. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_51

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  • DOI: https://doi.org/10.1007/978-3-540-73007-1_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73006-4

  • Online ISBN: 978-3-540-73007-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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