We are thrilled to announce that the recent paper by Dr. Gabriele Boschetto, EU H2020 NeurONN, CNRS, 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 [...]
We are proud for the publication of Dr. Stefania Carapezzi, CNRS at Springer Nature in MRS Communications. Her paper is on Electro-thermal simulations of beyond-CMOS vanadium dioxide devices and oscillators. The quest for energy-efficient devices is a main challenge in this highly-technological world. [...]
Paper Title: Mapping Hebbian Learning Rules to Coupling Resistances for Oscillatory Neural Networks Oscillatory Neural Network (ONN) is an emerging neuromorphic architecture with oscillators representing neurons and information encoded in oscillator's phase relations. In an ONN, oscillators are [...]
Madeleine Abernot, PhD student at EU H2020 NEURONN, Centre national de la recherche scientifique, LIRMM, received one of the Best Poster Awards for her presentation on "FPGA Implementation of Oscillatory Neural Networks for Artificial Intelligence Edge Computing" during the ACM [...]
On October 13th, our PhD student Madeleine Abernot, CNRS, LIRMM presented her poster on “Mobile Robot Obstacle Avoidance with Oscillatory Neural Networks on FPGA” in the IBM/IEEE AI Compute Symposium. The poster won the third place of track 2 – [...]
Paper Title: Digital Implementation of Oscillatory Neural Network for Image Recognition Applications Computing paradigm based on von Neuman architectures cannot keep up with the ever-increasing data growth (also called “data deluge gap”). This has resulted in investigating novel [...]
Check out our recent article on brain-inspired computing with oscillatory neural networks for solving complex associative problems. This original work exploits the sub-harmonic injection locking method for controlling the oscillatory states of coupled oscillators to facilitate learning and inference. These [...]
Dr. Aida Todri-Sanial gave a Keynote talk at the Ecole National School of Chemistry of Montpellier. Her talk was on “Energy Consumption and Electronics Devices: Why we need to re-think chip design for AI?”.
Our Post-Doc Dr. Stefania Carapezzi has a paper accepted at the 19th IEEE International NEWCAS Conference (NEWCAS) 2021. Her work is entitled "Multi-Scale Modeling and Simulation Flow for Oscillatory Neural Networks for Edge Computing".