DATE Save the Date 17 to 19 April 2023

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W03 NeurONN Workshop on Neuromorphic Computing

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W03.0 Welcome Note

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Chair
Jamila Boudaden, Fraunhofer EMFT, Germany
Co-Chair
Eirini Karachristou, CNRS, France

W03.1 NeurONN Project Overview

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Speaker
Aida Todri-Sanial, CNRS, France

W03.2 Projects related to Neuromorphic computing

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Presentations

W03.2.1 Photonic Neuromorphic Computing

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Speaker
Frank Brückerhoff-Plückelmann, University of Münster, Germany

W03.2.2 Algorithm-Circuits-Device Co-design for Edge Neuromorphic Intelligence – MEMSCALE Project

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Speaker
Melika Payvand, University of Zurich and ETH Zurich, Switzerland

W03.3 Materials and Devices

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Presentations

W03.3.1 Modeling Unconventional Nanoscaled Device FABrication – MUNDFAB Project

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Speaker
Peter Pichler, Fraunhofer IISB, Germany

W03.3.2 Resistance switching materials and devices for neuromorphic computing

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Speaker
Sabina Spiga, CNR - IMM, Italy

W03.3.3 Oscillating Neural Networks powered by phase-transition VO2 nanodevices

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Speaker
Oliver Maher, IBM, Switzerland

W03.LB Lunch Break

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W03.4 Demonstrators

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Presentations

W03.4.1 NeurONN live Demonstrators

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Presenter
Madeleine Abernot, CNRS, France

W03.4.2 NeurONN live Demonstrators

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Presenter
Theophile Gonos, A.I.Mergence, France

W03.4.3 NeurONN live Demonstrators

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Speaker
Thierry Gil, CNRS, France

W03.5 Neuromorphic Architecture & Design

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Presentations

W03.5.1 Effect of Device Mismatches in Differential Oscillatory Neural Networks

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Speaker
Jafar Shamsi , University of Calgary , Canada

W03.5.2 Machine learning for the design of wave and oscillator-based computing devices

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Speaker
Gyorgy Csaba, Pázmány University Budapest, Hungary

W03.CB Coffee Break

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W03.6 Neuromorphic Computing

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Presentations

W03.6.1 Fully Spintronic Radiofrequency Neural Networks

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Speaker
Alice Mizrahi, CNRS/Thales, France

W03.6.2 Analog oscillatory neural networks for energy-efficient computing at the edge

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Speaker
Corentin Delacour, CNRS, France

W03.6.3 Reliable Processing-in-Memory based manycore architectures for Deep Learning: From CNNs to GNNs

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Speaker
Partha Pratim Pande, Washington State University, United States