3 citations · 4 across the 5 of their papers we have counts for
5 papers
The Impact of Feature Representation on the Accuracy of Photonic Neural Networks
Mauricio Gomes de Queiroz, Paul Jimenez, Raphael Cardoso +5
Photonic Neural Networks (PNNs) are gaining significant interest in the research community due to their potential for high parallelization, low latency, and energy efficiency. PNNs…
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators
Mahdi Taheri, Masoud Daneshtalab, Jaan Raik +5
Systolic array has emerged as a prominent architecture for Deep Neural Network (DNN) hardware accelerators, providing high-throughput and low-latency performance essential for depl…
Complexity Assessment of Analog and Digital Security Primitives Signals Using the Disentropy of Autocorrelation
Paul Jimenez, Raphael Cardoso, Maurìcio Gomes de Queiroz +4
The study of regularity in signals can be of great importance, typically in medicine to analyse electrocardiogram (ECG) or electromyography (EMG) signals, but also in climate studi…
Security layers and related services within the Horizon Europe NEUROPULS project
Fabio Pavanello, Cedric Marchand, Paul Jimenez +17
In the contemporary security landscape, the incorporation of photonics has emerged as a transformative force, unlocking a spectrum of possibilities to enhance the resilience and ef…
Hitless memory-reconfigurable photonic reservoir computing architecture
Mohab Abdalla, Clément Zrounba, Raphael Cardoso +7
Reservoir computing is an analog bio-inspired computation model for efficiently processing time-dependent signals, the photonic implementations of which promise a combination of ma…