Phase-Change Switch Workshop on Neuromorphic Computing

2nd International Phase-Change Switch Workshop on Neuromorphic Computing hosted by IBM - Workshop Talks Aida Todri-Sanial, CNRS, LIRMM, France: NeurONN: Neuromorphic Computing withOscillatory Neural Networks Elisabetta Corti, IBM Research Zurich, Switzerland: VO2 coupled oscillators as hardware [...]

IBM IEEE CAS/EDS – AI Compute Symposium

  From Atoms to Applications Authors: Stefania Carapezzi, Madeleine Abernot, Corentin Delacour, Nadine Azemard, Jeremie Salles, Thierry Gil and Aida Todri-Sanial (Microelectronics Department, LIRMM, University of Montpellier, CNRS, Montpellier, France) Poster Title NeurONN: A [...]

MRS 2020

Material Research Society (MRS) Fall Meeting 2020 Authors: Elisabetta Corti, Abhishek Khanna, Fabian Koenemann, Bernd Gotsmann and Siegfried Karg (IBM Research Zurich) Kham Niang, John Robertson (Cambridge University) Talk Title Scaled VO2 Oscillators for [...]

DCIS 2020

XXXV Conference on Design of Circuits and Integrated Systems (DCIS 2020) Authors: Jafar Shamsi, Maria Jose Avedillo, Bernabe Linares-Barranco and Teresa Serrano-Gotarredona (CSIC/IMSE, Spain) Paper Title Oscillatory Hebbian Rule (OHR): An adaption of the [...]

Article Microelectronics News

Magazine Article - Fraunhofer MIKROELEKTRONIK Fraunhofer MIKROELEKTRONIK, “Energy-efficient technologies for neuromorphic computers”, at Microelectronics News online, page 14, August 2020: "In the EU project NeurONN, in which Fraunhofer EMFT is also involved, components and architectures for neuromorphic computing are being [...]

Article Techno-Science

Newspaper Article - French A. Todri-Sanial, “NeurONN: des neurones oscillants pour une nouvelle architecture informatique”, at online, April 2020.      

Interview CNRS-INS2I

Interview Article - French A. Todri-Sanial, “NeurONN: des neurones oscillants pour une nouvelle architecture informatique”, at Institute des Sciences de l’Information et de leurs Interaction (INS2I) du CNRS, April 2020.  

DTIS 2020

From Nano-Electronics Devices to Neuromorphic Computing Siegfried Karg (IBM Research, Zurich) Abstract Integrating III-V semiconductor devices on silicon-based complementary metal oxide semiconductors (CMOS) technology is one of the most promising routes for future sub-10 [...]

HAL-LIRMM – Open Archive

Two-Dimensional Oscillatory Neural Networks for Energy Efficient Neuromorphic Computing Aida Todri-Sanial, Thierry Gil,  Nadine Azemard,  Jérémie Salles,  Stefania Carapezzi,  Eirini Karachristou,  Madeleine Abernot, Siegfried Karg, Elisabetta Corti,  Kirsten Moselund,  Bernabé Linares-Barranco,  Maria J.Avedillo, Teresa Serrano-Gotarredona, Juan Núñez, Jamila Boudaden, Armin [...]

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