Neural network design and the complexity of learning
Neural network design and the complexity of learning
Implementation of artificial neural networks into hardware: concepts and limitations
Mathematics and Computers in Simulation - Special issue: signal processing and neural networks
Microelectronic Engineering - Special issue on nanotechnology
Industry roadmaps: the challenge of complexity
Microelectronic Engineering - Special issue on JESSI basic and long-term research: selected papers from the advanced CMOS cluster workshop
Room temperature operated single electron transistor fabricated by electron beam nanolithography
Proceedings of the international conference on Micro- and nanofabrication
Microelectronic System Interconnections: Performance and Modeling
Microelectronic System Interconnections: Performance and Modeling
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Analogue Neural VLSI: A Pulse Stream Approach
Analogue Neural VLSI: A Pulse Stream Approach
Single Electron Tunneling Technology for Neural Networks
MICRONEURO '96 Proceedings of the 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems
Single-electron shift-register circuit
Microelectronics Journal
Hi-index | 0.00 |
According to recent studies, the basic technologies presently adopted by the semiconductor industry for memory and processor fabrication should attain limits imposed by the laws of physics around the year 2010. Nanoscale sized devices like single-electron transistors appear as a highly promising option to replace conventional devices by that time. In this study, considerations about the realization of a GSI processor, based upon nanoelectronic devices, are presented.