The International Conference on AI, Machine Learning, and Data Science (AIMDS 2024) will be an exceptional virtual platform for sharing knowledge and research findings in the theory, methodology, and applications of AI, Machine Learning, and Data Science. AIMDS 2024 emphasizes both theoretical research and practical applications in these fields. The conference seeks high-quality papers that address all technical aspects of AI, Machine Learning, and Data Science. Submissions from academia, industry, and government are encouraged, covering both traditional and emerging topics, as well as innovative paradigms, with a strong focus on real-world problems, systems and applications.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Topics of interest
Authors are invited to submit papers through the conference Submission System by Closed. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of nde conference will be published by International Journal on Cybernetics & Informatics (IJCI) (Confirmed).
Selected papers from AIMDS 2024, after furnder revisions, will be published in the special issue of the following journals
Important Dates
Robert McMenemy
Independent Researcher
Scotland
Jiri De Jonghe
AI Lab
Belgium
Antony Seabra de Medeiros
Rio de Janeiro
Brazil
Kanga Koffi
African Higher School of ICT (ESATIC)
Ivory Coast
Len Ber MD
USA
Anmolika Singh
United States of America
Arnav Kharbanda
Indian Institute of Technology Ropar
India
Sanchari Chatterjee
University of North Carolina
United States of America
Paper Submission
Sample Template
Other Conferences
Supported By
The Registration fee is 250 USD for accepted article Authors. Atleast one author of accepted paper is required to register at the full registration rate