624 citations · 779 across the 26 of their papers we have counts for
27 papers
BenDi: An Energy-Efficient Quasi-Stochastic Systolic Architecture for Edge Bioelectronics
Bochen Ye, Yihan Pan, Shady Agwa +1
Continuous long-term monitoring and diagnosis of biomedical signals, such as electrocardiograms (ECGs), can help mitigate an increasing threat to public health. Artificial Intellig…
Non-frontal face recognition using GANs and memristor-based classifiers
Semih Vazgecen, Cristian Sestito, Spyros Stathopoulos +1
Face recognition systems have advanced significantly through deep learning techniques, delivering high performance and robustness in complex scenarios. However, these approaches in…
An RRAM-based Hardware Implementation of a Radial Basis Function Neuron for Edge Classifiers
Georgios Papandroulidakis, Shady Agwa, Themis Prodromakis
The deployment of modern machine learning (ML) solutions on resource-constrained edge devices highlights implementation challenges. This is especially true for extreme edge applica…
A Multi-Channel Auditory Signal Encoder with Adaptive Resolution Using Volatile Memristors
Dongxu Guo, Deepika Yadav, Patrick Foster +4
We demonstrate and experimentally validate an end-to-end hybrid CMOS-memristor auditory encoder that realises adaptive-threshold, asynchronous delta-modulation (ADM)-based spike en…
An Adiabatic Capacitive Artificial Neuron with RRAM-based Threshold Detection for Energy-Efficient Neuromorphic Computing
Sachin Maheshwari, Alexander Serb, Christos Papavassiliou +1
In the quest for low power, bio-inspired computation both memristive and memcapacitive-based Artificial Neural Networks (ANN) have been the subjects of increasing focus for hardwar…
Frequency Response of Metal-Oxide Memristors
Vasileios Manouras, Spyros Stathopoulos, Suresh Kumar Garlapati +2
Memristors have been at the forefront of nanoelectronics research for the last decade, offering a valuable component to reconfigurable computing. Their attributes have been studied…