18/08/2023
Call for participation
We are pleased to invite you to submit your paper to our Special Session on "Parallel Computing for Artificial Intelligence and Internet of Things (Parallel Computing for AI and IoT 2023)" at the 1st IEEE Afro-Mediterranean Conference on Artificial Intelligence (2023 IEEE AMCAI) that will be held in Hammamet, Tunisia, December 13-15, 2023.
The call for papers is now open for Special Session on Parallel Computing for AI and IoT 2023. Do not miss the Paper Submission deadline: September 03, 2023.
Authors are invited to submit their papers electronically in pdf format, through EasyChair at https://easychair.org/conferences/?conf=amcai2023 . Please activate the following link and select the track: Parallel Computing for AI and IoT 2023: Special Session on Parallel Computing for Artificial Intelligence and Internet of Things 2023. For more details, please visit the website page http://amcai.atia.org.tn/IAForIOT .
The aim of the special issue Parallel Computing for AI and IoT 2023 is to bring together researchers from Parallel Computing,
Artificial Intelligence, and the Internet of Things to present new techniques, approaches, applications,
and theoretical/practical insights from a wide array of problems.
The scope of Parallel Computing for AI and IoT 2023 includes, but is not limited to the following topics:
• Parallel processing techniques for IoT-based Machine Learning applications.
• Machine Learning, Artificial Intelligence and High Performance Computing.
• Artificial Intelligence in the IoT-Edge-Cloud continuum.
• IoT sensing data fusion using Artificial Intelligence and Machine Learning.
• Edge/fog/cloud computing and modeling using IoT.
• Design and implementation of Edge AI heterogeneous systems.
• Distributed AI-driven algorithms for edge computing.
• Novel challenges, and applications of AI-IoT connected community.
• Parallel and distributed data science applications.
• Numerical methods for large-scale data analysis.
• Parallel numerical linear algebra for dense and sparse matrices.
• Numerical analysis and specific computing in task scheduling, resource allocation in parallel computing.
• Matrix Algebra Approaches to Artificial Intelligence.