Neural inspired architectures for nanoelectronics

Authors:
Ralf Eickhoff;Tim Kaulmann;Ulrich Rückert
Affiliations:
Dresden University of Technology, Circuit Design and Network Theory, Dresden, Germany;Heinz Nixdorf Institute, System and Circuit Technology, University of Paderborn, Paderborn, Germany;Heinz Nixdorf Institute, System and Circuit Technology, University of Paderborn, Paderborn, Germany
Venue:
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Year:
2007

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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.