Publications

Our PhD student Madeleine Abernot presented her latest work at the Neuro-Inspired Computing Elements (NICE) Workshop. Her talk was on feature detection algorithms using oscillatory neural networks for edge detection. https://niceworkshop.org/nice-2023/

We introduced a new feedforward ONN architecture to solve image edge detection with our digital design. This novel architecture proposes an alternative to convolutional filters in the case of image edge detection application. And it will help exploring novel ONN [...]

We are excited to introduce NeurONN’s second ONN integrated circuit (IC) which implements SKONN, a new mixed-signal ONN architecture that separates analog computation and digital propagation. The chip contains 16 neurons, 256 programmable synapses with 5 bits of resolution [...]

EU H2020 NeurONN participated in HiPEAC 2023 Conference! Our PhD student Madeleine Abernot at CNRS-LIRMM presented her work at HiPEAC, #NEUROCOM workshop. Her work in collaboration with A.I.Mergence is on the design and implementation of digital oscillatory neural networks for [...]

We are thrilled about our recent paper publication at Nature Portfolio #Scientific Reports, part of themed collection “Novel hardware and concepts for unconventional computing”.  We used finite element method (technology computer-aided design, TCAD) simulations of VO2 oscillators to explore [...]

Our colleagues from IMSE-CNM, CSIC contributed with two oral lectures at #DCIS 2022 on alternative learning methods as associative memory for ONNs and its interesting performance as a hardware accelerator at solving NP-hard combinatorial optimization problems. Manuel Jiménez Través presented his [...]

 We are thrilled to see published our activities in NeurONN project in the French Magazine "Techniques de l'Ingenieur".  Full paper (in French) can be found here https://www.techniques-ingenieur.fr/base-documentaire/technologies-de-l-information-th9/intelligence-artificielle-42679210/reseaux-de-neurones-oscillants-pour-des-calculs-economes-en-energie-h5040/

We are thrilled to present some of our recent work at MRS Fall Meeting 2022 in Boston, US with Dr. Stefania Carapezzi on the simulation of external temperature effects over oscillator behavior based on vanadium dioxide, for applications in [...]

Dr. Stefania Carapezzi, CNRS Post-Doctoral Researcher in EU H2020 NEURONN presented her poster at Memrisys 2022, in Cambridge, MA, USA. The poster illustrates the results of TCAD simulations on a vanadium dioxide Neuron-emulating oscillatory device to assess temperature-sensing functionality. [...]

PhD student Madeleine Abernot, CNRS, LIRMM in the framework of EU H2020 NEURONN, presented her work at IEEE MetroXRaine 2022 conference (https://metroxraine.org/) She presented a new all-in-one Zynq-based system to perform obstacle avoidance on a mobile robot based on the ONN computing [...]