Posted on behalf of Sabina Spiga, Institute for Microelectronics and Microsystems, National Research Council, Italy.
The International Conference on Memristive Materials, Devices & Systems (MEMRISYS2019) took place in Dresden, Germany from 8 to 11 July 2019.
MEMRISYS has provided a forum for the presentation and discussion of the latest results on memristors and the exploration of future directions across a wide range of fields: From materials to devices, circuits, systems, and applications. The conference is the reference event in the field and is consolidating the underlying research communities in materials science, memristor theory, electronic devices, circuits, and systems, computation, and neuromorphic engineering.
The conference was quite a success, with around 200 submitted abstracts and a large number of participants from an international audience and an impressive list of plenary and invited speakers.
In 2019 for the first time, NEUROTECH gave a prize of 500 € for the best demonstration of memristor-based hardware and applications in the field of neuromorphic computing technology. The price was publicly announcedto all participants, and open to any type of contributions presented by early career people (Ph.D. students, and postdocs / young researchers up to 7 years from the Ph.D. award). The participants interested to the prize were requested to apply for it, and we received more than 15 applications.
The contributions were evaluated by a selected committee with complementary expertise including NEUROTECH membersSabina Spiga and Stefano Brivio (CNR-IMM, Agrate Brianza (Italy), and international experts in the field (Damien Querlioz, CNRS and Univ. Paris Sud; Bernabé Linares-Barranco, CSIC, Spain; Stephan Menzel and Regina Dittmann, Forschungszentrum Juelich GmbH – Germany; Michael Kozicki, Arizona State University, USA).
Here is the winning contribution:
" Memristive Edge Detection for Spiking Neural Network" by D J. Mannion, WH. Ng, A. Mehonic, and A J. Kenyon; Department of Electronic & Electrical Engineering, , University College London, London (UK)
Presenter: Daniel John Mannion, PhD student at University College, London (UK).
In this work the authors have shown an edge detection circuit designed for spiking neural networks, and using metal-SiOx-metal resistance switching devices as the core of our memrisitive circuit.
One of the discussion sessions among the committee members (from the left: Stephan Menzel, Stefano Brivio, Sabina Spiga and Bernabé Linares-Barranco)
Ronald Tetzlaff, Technische Universität Dresden and General Chair of the Conference, awarding the NEUROTECH prize to D. J. Mannion.