
EU_NeurONN
@eu_neuronn
H2020 EU-funded NeurONN project is focused on developing AI at the Edge. It develops neuro-inspired technology with energy-efficient devices and architectures.
ID: 1223965933863153664
https://www.lirmm.fr/~todri 02-02-2020 13:46:49
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We are proud for the publication of Dr. Stefania Carapezzi CNRS Occitanie Est EU_NeurONN Springer Nature in #MRSCommunications. Her paper is on Electro-thermal simulations of beyond-CMOS vanadium dioxide devices and oscillators and it can be found here: link.springer.com/article/10.155…

It is now available the proceeding of the Invited Talk IEEE FLEPS 2022 delivered by Dr. S.Carapezzi, Post-Doc Reseracher EU_NeurONN CNRS Occitanie Est The paper is about simulation toolset, from devices to circuits, for low-power neuromorphic computing. ➡️ieeexplore.ieee.org/document/97815…


Thrilled to announce that the paper by Dr. G. Boschetto EU_NeurONN titled "Ab Initio Computer Simulations on Interfacial Properties of Single-Layer MoS2 and Au Contacts for Two-Dimensional Nanodevices" is now featuring on the front cover of ACS Applied Materials & Interfaces ! ➡️pubs.acs.org/doi/10.1021/ac…


Our PhD student Corentin Delacour EU_NeurONN CNRS Occitanie Est LIRMM presents a poster at #NatConfAI in Bonn, Germany (7-8 September) about ONN solving the NP-hard Travelling Salesman Problem in continuous phase domain.



We are delighted of our recent work in EU_NeurONN by Stefania Carapezzi, Gabriele Boschetto, Siegfried Karg and Aida Todri-Sanial on Electro‑thermal simulations of beyond‑CMOS VO2 devices and oscillators on the front cover of MRS Communications! Full Paper rdcu.be/cQAHN



Part of ow.ly/3hwG50MrELy, this paper from Madeleine Abernot and Aida Todri-Sanial (LIRMM and TU Eindhoven, support from EU_NeurONN) considers low-power Oscillatory Neural Networks as a potential solution for image detection at the edge: iopscience.iop.org/article/10.108…












Part of iopscience.iop.org/collections/nc…, This paper investigates the links between electrical and thermal behaviour in vanadium dioxide oscillators and their effect on achievable frequency iopscience.iop.org/article/10.108… LIRMM @SilvacoSoftware IBM Research TU Eindhoven Aida Todri-Sanial EU_NeurONN


How fast can vanadium dioxide neuron-mimicking devices oscillate? Physical mechanisms limiting the frequency of vanadium dioxide oscillators doi.org/10.1088/2634-4… via Neuromorphic Computing and Engineering