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IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JXCDC): Call for Papers on “Emerging Hardware for Cognitive Computing”
A call for papers is now open for the IEEE Journal on Exploratory Solid-State Computational Devices and Circuits special topic on “Emerging Hardware for Cognitive Computing.”
Aims and Scope:
Emerging materials and physics can be leveraged for new device-inherent behavior that can have system-level benefits. Motivation for device, circuit, and system behavior can be drawn from how the human brain processes certain data-intensive tasks adaptively and quickly, such as canonical image recognition. The field of neuromorphic computing has made great strides in implementing multi-weight synaptic behavior, as well as neuronal behavior such as integrate-and-fire and stochastic switching, and implementation of such behaviors in deep neural network (DNN) processing. Using CMOS, emerging resistive memories, and other device types as the basis, neuromorphic computing is innovating vertically from devices, to circuits, to systems to re-define how computation can be done. Looking forward, the realm of “cognitive computing” is inspired by new and continually emerging understanding of advanced brain and neuronal behavior that enables efficient and real-time learning and reaction.
This call for papers is on emerging hardware for cognitive computing. The focus and emphasis of these special topic papers is beyond DNN processing, as well as beyond multi-weight synapses and basic neuron integrating, firing, and stochasticity. Some example topics of interest include coherent reaction to multiple stimuli and input frequencies, hierarchical temporal memories, coupled dynamics between multiple stimuli and between devices or systems, both short-range and long-range connectivity in the devices and circuits, real-time adaptation to the data the computing system is processing, reconfigurability based on inputs, approximate computing that uses sparsity, and many other bio-inspired behaviors. Papers are encouraged that address implementation of advanced cognitive features at all levels (materials, device, circuits, and systems), including showing at a system level how such advanced functions can be useful for computing tasks and understanding the system-level energy efficiency and speed.
Topics of Interest:
Prospective authors are invited to submit original works and/or extended works based on conference presentations on various aspects of monolithic 3D integration technologies.
- Reconfigurable and tunable materials and their application to computing
- Emerging resistive memories (e.g. MRAM, RRAM, PCM, FeFETs, etc) and taking advantage of their unique physical properties and how those properties can be mapped onto cognitive features
- Emerging materials and devices such as low dimensional, spintronic, ionic, and others that can be used for cognitive computing
- Circuits that make use of new device features or on their own have cognitive computing features such as long-range connectivity
- System-level and algorithm application of the devices and circuits and their benchmarking, e.g. Bayesian confidence propagation neural networks
- System-circuit-device co-design for cognitive computing
- Prototypes, simulation, and theory all welcome
Submission Guidelines:
The IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JXCDC) IS AN OPEN ACCESS ONLY PUBLICATION. The charge for authors is US$1,350 per article. Paper submissions must be done through the ScholarOne Manuscripts website.
View our guidelines for papers and supplementary materials, as well as a paper templates.
Important Dates:
Open for Submission: 15 April 2021
Submission Deadline: 15 July 2021
First Notification: 15 Aug 2021
Revision Submission: 31 Aug 2021
Final Decision: 15 Sept 2021
Publication Online: 30 Sept 2021
All inquiries for the JXCDC Journal should be sent to JXCDC@IEEE.ORG.
Guest Editor
Jean Anne Incorvia, The University of Texas at Austin, incorvia@austin.utexas.edu
Editor-in-Chief
Azad Naeemi, Georgia Institute of Technology, azad@gatech.edu