activity
20212024
most citedA Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP20243 cited

Roadmap to Neuromorphic Computing with Emerging Technologies

Adnan Mehonic, Daniele Ielmini, Kaushik Roy +50

The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently util…

cs.ET2024

The Logarithmic Memristor-Based Bayesian Machine

Clément Turck, Kamel-Eddine Harabi, Adrien Pontlevy +9

The demand for explainable and energy-efficient artificial intelligence (AI) systems for edge computing has led to significant interest in electronic systems dedicated to Bayesian…

cs.ET20231 cited

Powering AI at the Edge: A Robust, Memristor-based Binarized Neural Network with Near-Memory Computing and Miniaturized Solar Cell

Fadi Jebali, Atreya Majumdar, Clément Turck +13

Memristor-based neural networks provide an exceptional energy-efficient platform for artificial intelligence (AI), presenting the possibility of self-powered operation when paired…

cs.ET20233 cited

A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects

Kamel-Eddine Harabi, Clement Turck, Marie Drouhin +7

We present an integrated circuit fabricated in a process co-integrating CMOS and hafnium-oxide memristor technology, which provides a prototyping platform for projects involving me…

cs.ET2021

A Memristor-Based Bayesian Machine

Kamel-Eddine Harabi, Tifenn Hirtzlin, Clément Turck +7

In recent years, a considerable research effort has shown the energy benefits of implementing neural networks with memristors or other emerging memory technologies. However, for ex…