Neuromorphic Technologies for Novel Hardware AI
The rise of artificial intelligence requires a growing amount of computing power that is not sustainable with current computing technologies. In this context, the field of neuromorphic and in-memory computing has made great advancements in recent times to fabricate hardware that can perform machine learning tasks at a substantially lower energy and on-the-edge, minimizing the latency issues with cloud computing, making them all the more suitable for mission critical, surveillance and remote applications where on-the-fly decision making is key. This special issue invites submissions focusing on various energy efficient approaches to realize hardware AI, through novel materials and devices, fabrication strategies, computing architectures, neuromorphic systems, and brain-inspired hardware-aware algorithms. Submissions are encouraged towards hardware AI applied to specific practical use cases in different technology domains, other than MNIST data sets, and also hardware AI for solving specific complex mathematical problems such as optimization, differential equation solvers etc.
Hardware AI through (but not limited to):
- Novel Materials, Devices and Systems for Neuromorphic Computing
- In materia computing
- Hardware Architectures for Brain-inspired Computing
- Modeling Neuromorphic Devices and Architectures
- Hardware-Aware Neuromorphic Algorithms
- Neuromorphic Computing for Domain Specific End Use Applications
- Neuromorphic Computing applications (for solving complex problems such as optimization, Partial Differential Equations (PDEs), and more)
- Design and Technology Co-Optimization (DTCO) for neuromorphic architecture
- Hardware-software codesign
Guest Editors
Gianluca Milano
Researcher
Italian Institute of Metrological Research (INRiM)
Giacomo Pedretti
Senior Research Scientist
Hewlett Packard Labs, California, USA
Nagarajan Raghavan
Associate Professor
Engineering Product Development (EPD) Pillar
Singapore University of Technology and Design (SUTD), Singapore
How to Submit
- Please submit through the online submission system.
- Under manuscript type → select Article, as appropriate.
- Under manuscript information → Title/Abstract → select “Invited Submission: No”
Under manuscript information → Manuscript classification → select Special Topic: “Neuromorphic Technologies for Novel Hardware AI”
Please note that papers will be published as normal when they are ready in a regular issue of the journal and will populate on a virtual collection page within a few days of publication. Inclusion in the collection will not cause delay in publication.