The International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS) 2027 will be held in Japan, bringing together researchers, academics, industry professionals, and practitioners from around the world. The main objective of ICCRAIDS 2027 is to provide an international platform for presenting recent research findings, exchanging knowledge, and discussing emerging developments in the fields of Artificial Intelligence (AI), Machine Learning (ML), Data Science, and related technologies. The conference aims to promote academic collaboration, strengthen partnerships between universities and industries, and encourage innovative ideas and solutions that contribute to the advancement of intelligent and data-driven technologies.

Under the theme “Human-Centered Artificial Intelligence and Data Science for Sustainable, Resilient, and Intelligent Societies,” ICCRAIDS 2027 highlights the importance of developing AI and data science innovations that are not only technologically advanced, but also meaningful, responsible, and beneficial to society.

ICCRAIDS 2027 will feature distinguished keynote speakers with expertise in AI, ML, Data Science, and related interdisciplinary fields. These experts will share insights into current trends, research challenges, and future opportunities, inspiring participants to contribute to impactful research and international collaboration. We warmly invite researchers, practitioners, professionals, and innovators to join us at ICCRAIDS 2027 for an enriching exchange of ideas, knowledge, and research experiences in Japan.

All accepted papers that successfully pass the peer-review process and are presented during the conference will be included in the official ICCRAIDS 2027 Conference Proceedings. In accordance with IEEE publication standards, the proceedings will then be submitted to IEEE Xplore® for indexing and online publication.

Topics of interest include (but are not limited to):

Track 1
Artificial Intelligence, Machine Learning, and Data Science
AI Algorithms and Models
Deep Learning
Reinforcement Learning
Natural Language Processing
AI in Healthcare and Medicine
Autonomous Systems and Robotics
Machine Learning for Smart Cities
Data Privacy in AI Systems
Cognitive Computing
Big Data Analytics
Predictive Analytics
Real-Time Data Analysis
Data Mining and Knowledge Discovery

Track 2
Cloud Computing, Computational Science, and High-Performance Systems
Cloud Computing and Big Data
Computational Modeling and Simulations
Edge and Fog Computing
Grid Computing for Data Science
High-Performance Computing (HPC)
Distributed and Parallel Computing
Data Storage and Management in Cloud Environments
Internet of Things (IoT) and Cloud Integration

Track 3
Multimedia, Interactive Systems, and Software Engineering
Multimedia Data Analysis
Computer Vision and Image Processing
Augmented and Virtual Reality
Multimedia Information Retrieval
Interactive Media and Pervasive Gaming
Speech Recognition and Processing
Human-Computer Interaction (HCI)
Software Development and Design for AI Applications
AI-Driven Software Engineering
Software Engineering for Big Data