On memristors for enabling energy efficient and enhanced cognitive network functions
S Saleh, B Koldehofe - IEEE Access, 2022 - ieeexplore.ieee.org
The high performance requirements of nowadays computer networks are limiting their ability
to support important requirements of the future. Two important properties essential in …
to support important requirements of the future. Two important properties essential in …
Energy-Efficient Neuromorphic Architectures for Nuclear Radiation Detection Applications
JI Canales-Verdial, JR Wagner, LA Schmucker… - Sensors, 2024 - mdpi.com
A comprehensive analysis and simulation of two memristor-based neuromorphic
architectures for nuclear radiation detection is presented. Both scalable architectures retrofit …
architectures for nuclear radiation detection is presented. Both scalable architectures retrofit …
NVM device-based deep inference architecture using self-gated activation functions (Swish)
Abstract A Non-Volatile Memory (NVM) device-based deep inference architecture and a
novel design of Swish activation function using analog components is proposed in this …
novel design of Swish activation function using analog components is proposed in this …
Implementation of RRAM based Swish Activation Function and its Derivative on 28nm FD-SOI
We propose a novel analog implementation of RRAM based swish activation function and its
derivative circuit for inference and training of neuromorphic architectures. The swish …
derivative circuit for inference and training of neuromorphic architectures. The swish …