Special Issue "Artificial Intelligence and Machine Learning: System-Level Design at Any Scale of the Internet of Things"
Deadline for manuscript submissions: 31 March 2021.
Interests: systems-on-chip with specialized accelerators; system-level design and design methodology for FPGAs and ASICs; embedded machine learning; design of circuits, systems, and platforms for industrial applications (biomedical, automotive, food). Past work: latency-insensitive design of systems-on-chip (SoC) and networks-on-chip
Interests: reusable WSN/IoT platforms; sensing, indoor localization, and data processing for IoT; design for low power; embedded machine learning and neural networks; high-level HW/SW co-design; high-level synthesis
Special Issues and Collections in MDPI journals
Special Issue in Sensors: Data in the IoT: from Sensing to Meaning
Special Issue in Electronics: Real-Time Embedded Systems
Special Issue in Sensors: Green Wireless Networks in 5G-inspired Applications
Special Issue in Sensors: Real-Time Sensor Networks and Systems for the Industrial IoT
Efficient data processing is required at any scale of the IoT, from edge computing in energy-constrained devices to big data and exascale computing in high-performance data centers. High efficiency hinges not only on technological progress but also on effective methods and techniques for circuit and system design. Advances are especially urgent for Artificial Intelligence (AI) and Machine Learning (ML) applications, which are currently being deployed at the edge as well as in the cloud, with different constraints. From ultra-low-power FPGAs to powerful SoCs with accelerators, architectural exploration for multi-objective performance optimization, high-level design methods at the system and circuit level, design flows that assist designers from the conception of a new AI/ML method to its hardware implementation are all key enablers for IoT leaf and edge quality of service, exascale green computing, and deeper AI permeation or extension to new application domains.
This Special Issue aims to gather novel contributions that advance the field of the design of AI/ML circuits and systems, with emphasis on methodologies. We solicit state-of-the-art original research papers on topics that include, but are not limited to:
- high-level design methods for AI/ML accelerators;
- design space exploration at any scale, from the edge to the cloud;
- energy-efficient hardware implementations of AI/ML;
- optimization methods and algorithms for AI/ML hardware implementation;
- EDA tools for AI/ML implementation;
- design flows: from AI/ML conception to circuit/system;
- embedded systems for AI/ML;
- case studies of an efficient hardware implementation of AI/ML using high-level design methodologies
Dr. Mario R. Casu
Dr. Mihai T. Lazarescu
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- artificial intelligence
- machine learning
- neural networks
- system-level design
- embedded design
- high-level synthesis
- edge computing
- Internet of Things
- design space exploration
- design automation