2 papers
eess.IV2024
Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation
Imane Hamzaoui, Hadjer Benmeziane, Zayneb Cherif +1
This work investigates the role of the emerging Analog In-memory computing (AIMC) paradigm in enabling Medical AI analysis and improving the certainty of these models at the edge.…
cs.NE2023
Skip Connections in Spiking Neural Networks: An Analysis of Their Effect on Network Training
Hadjer Benmeziane, Amine Ziad Ounnoughene, Imane Hamzaoui +1
Spiking neural networks (SNNs) have gained attention as a promising alternative to traditional artificial neural networks (ANNs) due to their potential for energy efficiency and th…