IBM/IEEE AI Compute Symposium
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 – [...]
CNRS-CSIC/IMSE-A.I.M Publication at Frontiers in Neuroscience
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 [...]
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
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 [...]
PRI Keynote
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?”.
2D MAT 2021
Dr. Aida Todri-Sanial gave an invited talk at the 2DMAT 2021 conference. Her talk was on “2D Nanomaterials for Advancing Neuromorphic Computing”.
19th IEEE Interregional NEWCAS Conference
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".
DRC-79th Device Research Conference
Our PhD student Corentin Delacour has a paper accepted at the 79th Device Research Conference 2021. His work is entitled “Frequency Injection Locking-Controlled Oscillations for Synchronized Operations in VO2 Crossbar Devices”. DRC [...]
Paper publication at Frontiers in Neuromorphic Engineering
Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic EU H2020 NeurONN Researchers have recently published the paper "Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic" at the journal "Frontiers in Neuromorphic Engineering". Their work proposes a [...]
Dr. Aida Todri-Sanial gives invited talk at WNCST 2021
Invited Speaker at World Nano Congress on Advanced Science and Technology 2021. Dr. Aida Todri-Sanial gave an invited talk entitled “From materials, devices to architectures for energy efficient neuromorphic computing based in oscillatory neural networks”.
Invited Talk hosted by SILVACO
On January 28th 2021, Dr. Aida Todri-Sanial gave an invited talk on the EU H2020 NEURONN project hosted by Silvaco, UK.