Title
Neural inspired architectures for nanoelectronics
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.
Year
DOI
Venue
2007
10.1007/978-3-540-73007-1_51
IWANN
Keywords
Field
DocType
chip area,actual trend,complex system,brief overview,significant improvements novel technology,computing power,down-scaled field effect transistor,semiconductor industry,novel material,computing device,chip,field effect transistor
Complex system,Nanoelectronics,Field-effect transistor,Computer science,Chip,Artificial intelligence,Semiconductor industry,Electrical engineering,Machine learning
Conference
Volume
ISSN
Citations 
4507
0302-9743
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Ralf Eickhoff16512.37
Tim Kaulmann252.92
U. Rückert3755103.61