Artificial Intelligence and data-driven technologies are transforming nearly every sector of modern society. From healthcare diagnostics and autonomous vehicles to smart agriculture and financial analytics, machine learning and data science are shaping the future of innovation. To support the exchange of ideas and advancements in these rapidly evolving fields, the 2026 IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2026) provides an international platform for researchers, engineers, and industry experts to share their latest research and technological developments.
About IEEE FMLDS 2026
The 2026 IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2026) will take place at University of Hyogo, Kobe, Japan, from 20–23 November 2026. The conference aims to bring together international experts, researchers, and practitioners working in artificial intelligence, machine learning, computer vision, and data science.
FMLDS 2026 will feature keynote talks from leading academic scholars and industry innovators who will discuss the future direction of machine learning technologies and their real-world applications. The conference will also host technical paper presentations, workshops, and industry exhibitions that highlight cutting-edge innovations in intelligent computing systems.
Road Map for Paper Submission
- Paper submission and for Grant Application deadline on 30 April, 2026 11:59:59 pm Japan Standard Time
- Paper acceptance notification: 07 July, 2026
- Grants and awards notification: 30 August, 2026
- Early Bird Registration opens: 07 July, 2026
- Due date for camera ready paper: 15 October, 2026
Key Research Topics
FMLDS 2026 welcomes submissions covering a wide range of topics in machine learning and data science. Some of the major focus areas include:
• Future Machine Learning Technologies
• Advances in Artificial Intelligence
• Computer Vision and Pattern Recognition
• Data Mining and Big Data Analytics
• Robotics and Automation
• Machine Learning in Engineering Applications
• Bioinformatics and Biomedical Applications
• Intelligent Systems and Data-Driven Technologies
These research areas emphasize interdisciplinary innovation and the growing impact of intelligent technologies across industries.
Summation link: https://cmt3.research.microsoft.com/FMLDS2026.
Note: please note, while applying you will face domain conflict, please enter your college domain in that box and save for example (.jntuk.in)
Why Researchers Should Attend
Participating in FMLDS 2026 provides numerous benefits for researchers, scholars, and industry professionals. The conference offers a global platform where participants can present their work, receive feedback from international experts, and explore collaborative opportunities.
Key benefits include:
• Presenting research to an international audience
• Learning about the latest trends in machine learning and AI
• Networking with global researchers and industry professionals
• Attending keynote speeches from leading experts
• Exploring industry exhibitions and technology demonstrations
Such opportunities help researchers expand their academic visibility and contribute to the advancement of machine learning research worldwide.
Industry Exhibition and Collaboration Opportunities
In addition to academic presentations, FMLDS 2026 will host industry exhibition and sponsorship booths, where companies and research organizations can showcase innovative technologies and solutions. These sessions help bridge the gap between academic research and real-world industry applications.
Industry collaborations often lead to new research partnerships, technology development initiatives, and commercialization opportunities.
Who Should Submit Papers
FMLDS 2026 welcomes participation from:
• PhD scholars and postgraduate students
• University faculty members and academic researchers
• Industry engineers and AI developers
• Data scientists and technology professionals
Researchers working in fields such as artificial intelligence, computer vision, intelligent robotics, and data science will find this conference particularly relevant.
Conclusion
The IEEE FMLDS 2026 conference represents an exciting opportunity for researchers and professionals interested in the future of machine learning and data science. By bringing together experts from academia and industry, the conference fosters knowledge exchange, innovation, and global collaboration in intelligent computing technologies.
For researchers seeking to showcase their work in artificial intelligence and data science, FMLDS 2026 provides an ideal platform to present ideas, gain recognition, and connect with the international research community.
Learn more and submit your research paper at
https://fmlds.org/2026/
Post a Comment