Harsha Kokel, Aamod Khatiwada, et al.
VLDB 2025
We propose a new neural network structure that is compatible with silicon technology. This network has the feature that the learning parameter is embodied in the thresholds of MOSFET devices and is local in character. The network is shown to be capable of forming associations by example as well as exhibiting the desirable features of the Hopfield type networks. © 1989.
Harsha Kokel, Aamod Khatiwada, et al.
VLDB 2025
Yannis Belkhiter, Dhaval Salwala, et al.
NFV-SDN 2025
Albert Atserias, Anuj Dawar, et al.
Journal of the ACM
David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence