2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning

★2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2024) - Ei Compendex & Scopus—Call for paper
Yichang, China ｜ April 26-28, 2024｜Website: www.faiml.org

★Researchers, scientists, engineers and industry professionals will join together this year at FAIML 2024, where the latest research will be unveiled and groundbreaking research projects will be presented. The field of Frontiers of Artificial Intelligence and Machine Learning is entering an era of unprecedented change and innovation. FAIML 2024 presents one of 2024’s premiere opportunities to hear from and network with an international array of experts on the ever evolving state of the field.

★Publication and Indexing
All submitted papers will be sent to 2-3 peer reviewers for reviewing. And accepted and presented papers will be published into FAIML 2024 International Conference Proceedings Series by ACM (ISBN: 979-8-4007-0977-7), which will be indexed by major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar etc.

★Program Preview/ Program at a glance
April 26: Registration + Icebreaker Reception
April 27: Opening Ceremony+ KN Speech+ Technical Sessions
April 28: Technical Sessions+ Half day tour/Lab tours

★Keynote Speakers
Prof. Xiang Bai——Huazhong University of Science and Technology, China
Prof. Bo Du——Wuhan University, China
Prof. Guan Gui(IEEE Fellow)——Nanjing University of Posts and Telecommunications, China

★Paper Submission
Submit Via CMT: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FFAIML2024%2FSubmission%2FIndex

★CONTACT US
Ms. Riva H. W. Wong
Email: email@faiml.org
Website: www.faiml.org

★Topics of Interest
Automated reasoning
Automation, Mechatronics and Robotics
Autonomous vehicles
Bioinformatics
Business Intelligence
Business Intelligence in Health Care
Business Process Intelligence
Cognitive robotics
Prudent Financial Management
Real-time reactivity
Robot behavior engineering
Robot learning and a