You are invited to the Online Conference on Neuromorphic Materials, Devices, Circuits and Systems (NeuMatDeCaS) that will take place from the 23rd to the 25th of January 2023.
The human brain performs complex cognitive tasks with a mere 20W of power, and hence serves as an inspiration for the next generation of low-power computer systems. The co-location of computation and memory in the brain motivates for non-Von Neumann systems, subverting the memory wall observed in conventional computers. Moreover, the structure of the brain as an interconnected network of neurons and synapses as well as its operation give rise to many algorithmic advancements including deep neural networks (DNNs) and further bio-inspired spiking neural networks (SNNs). Neuromorphic computing opens up many opportunities in material discovery, device engineering, circuit design and algorithm development to tailor systems that can learn from unstructured data. The goal of this conference is to provide a forum for discussing interdisciplinary research in brain-inspired computing, with an emphasis on emerging understanding of synaptic and neuronal processes in devices and systems. The scope of this conference will cover:
(1) Employing emerging memristive and memtransistive materials and novel device physics to create neuromorphic systems and in-memory computing applications,
(2) Exploration of the principles of learning such as Hebbian learning, synaptic competition, winner-take-all mechanism, associative learning, and
(3) Investigation of computational frameworks for supervised learning, unsupervised learning, reinforcement learning, reservoir computing, one-shot learning and beyond.
Arindam Basu | City University of Hong Kong
Yoeri van de Burgt | Eindhoven University of Technology
Geoffrey W. Burr | IBM Research - Almaden
Saptarshi Das | Penn State University
Wulfram Gerstner | Ecole Polytechnique Federale de Lausanne (EPFL)
Paschalis Gkoupidenis | Max Planck Institute for Polymer Research
Julie Grollier | Unité Mixte de Physique CNRS/Thales
Donhee Ham | Harvard University.
Daniele Ielmini | Politecnico di Milano
Giacomo Indiveri | University of Zurich and ETH Zurich
Brett J. Kagan | Cortical Labs
Hans Kleemann | Technical University of Dresden
Suhas Kumar | Sandia National Laboratories
Mario Lanza | King Abdullah University of Science and Technology
Wei D Lu | University of Michigan Ann Arbor
Nripan Mathews | Nanyang Technological University
David Moss | Swinburne University of Technology
Emre Neftci | Forschungszentrum Jülich
Shriram Ramanathan | Purdue University
Kaushik Roy | Purdue University
Yulia Sandamirskaya | Intel Labs
Francesca Santoro | RWTH Aachen University
Sean E. Shaheen | University of Colorado Boulder
Dmitri Strukov | UC Santa Barbara
Venky Venkatesan | The University of Oklahoma
Stanley Williams | Texas A&M University
Huaqiang Wu | Tsinghua University
Joshua Yang | University of Southern California
Shimeng Yu | Georgia Institute of Technology
Rohit Abraham John
Department of Chemistry and Applied Bioscience
ETH Zürich, CH
Irem Boybat
IBM Research Europe
Zurich, CH
Jason Eshraghian
Electrical Engineering & Computer Science
University Michigan
Simone Fabiano
Department of Science and Technology,
Linköping University, SE
- Materials & Devices: ReRAM, PCM, Ferroelectric, Spintronics, Organic, OECTs, Halide Perovskites, 2D transition metal dichalcogenides, Photonics.Tutorial session: Computational Neuroscience
- Circuits, Systems & Algorithms: In-sensory computing, In-memory computing, Deep neural networks (DNNs), Spiking neural networks (SNNs).
Registration
To register you should login with your nanoGe account and purchase your ticket at the 'Registration' tab.
Submit your work
Once you have registered you can submit your contribution in the ‘Abstract Submission’ tab. There are two types of Contributions:
- Contributed Talk
- ePoster
Following the publication of the program the Contributed Talk not accepted can be presented as an ePoster. Please read further information at the ‘Instructions for Authors’ tab.
Please check the submissions’ deadlines.
View the Conference
Login at nanoGe to see the General Conference Hall which is only available for registered users.
In this place you can access to all the conference content.You can also access to all the contents of the conference for two weeks after the end of the sessions.
nanoGe aims to give equal opportunities to participants who work for an institution whose country is listed as "Developing country" (see here) by offering reduced fee tickets.
Get in touch with us before register at the conference and before the deadline, January 16th 2023*.
For any further information we are glad to support at office@scito.org
* Applications will only be accepted for participants who use the official email of their institution.
nanoGe offers group discounts. To register a group, contact us at office@scito.org
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