2023 3rd International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2023)-- Ei Compendex & Scopus—Call for papers July 21-23, 2023|Shanghai, China|Website: https://www.jcrai.org/ JCRAI 2023 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Robotics and Artificial Intelligence can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Publication and Indexing All accepted and presented papers will be published in ACM International Conference Proceedings Series(ICPS), which will send to be reviewed and indexed by major citation databases such as EI Compendex, Scopus, CPCI, Google Scholar, etc. Keynote Speakers Prof. Jan Treur, Delft University of Technology, Netherlands Prof. Guandong Xu, University of Technology Sydney, Australia Program Preview/ Program at a glance July 21: Registration + Icebreaker Reception July 22: Opening Ceremony+ KN Speech+ Technical Sessions July 23: Technical Sessions+ Half day tour/Lab tours Paper Submission Submit Via CMT: https://cmt3.research.microsoft.com/JCRAI2023 CONTACT US Ms. Riva H. W. Wong Email: This email address is being protected from spambots. You need JavaScript enabled to view it. Website: https://www.jcrai.org Topics of Interest ARTIFICIAL INTELLIGENCE Agents and Multi-Agent Systems Expert Systems Fuzzy Logic Genetic Algorithms Neural Networks Swarm Intelligence MACHINE VISION Augmented Reality Bioinformatics Human Computer Interaction Image/Video Processing Pattern Recognition Signal Processing ROBOTICS Assistive Robots Autonomous Robots Creative and Entertaining Robots Human-Robot Interaction Mobile Robots Space and underwater robots AMBIENT INTELLIGENCE Ambient Assisted Living Data Science Intelligent Driving Internet of Things Smart Buildings and Cities Smart Healthcare SECURITY Big data analytics for security Biometrics Computer Forensics Intrusion Detection Security Intelligence Spam Detection MACHINE LEARNING Ant colony optimization Bayesian networks Decision Making Natural language processing Supervised/Unsupervised Learning Support Vector Machines