527th International Conference on Artificial Intelligence, Data Science & Emerging Technologies
About the Conference
The 527th International Conference on Artificial Intelligence, Data Science & Emerging Technologies convenes researchers, engineers, data scientists, innovators, industry practitioners and graduate scholars to present advances at the frontier of intelligent systems, learning algorithms, large-scale analytics and next-generation digital technologies.
The programme emphasises responsible innovation—balancing performance with reliability, fairness, privacy and governance—while exploring breakthroughs in machine learning, deep learning, generative AI, data engineering, intelligent automation, human–AI collaboration and emerging technology ecosystems.
Through keynotes, peer-reviewed sessions, expert panels and networking opportunities, participants can strengthen international collaboration, explore publication pathways and connect with peers shaping the future of AI-driven research and industry transformation.
Conference Themes
- Machine Learning & Deep Learning Foundations
- Generative AI, Multimodal Models & Responsible AI
- Natural Language Processing & Speech Technologies
- Computer Vision, Robotics & Embodied Intelligence
- Data Engineering, Pipelines & Large-Scale Systems
- Big Data Analytics, Forecasting & Decision Intelligence
- Explainability, Interpretability & Uncertainty Quantification
- AI Safety, Alignment, Robustness & Evaluation
- Privacy, Security & Trustworthy Machine Learning
- Edge AI, Cloud Computing & Distributed Intelligence
- AI in Science, Healthcare, Finance & Industry Applications
- Emerging Technologies: Quantum Interfaces, Neuromorphic & Beyond
Conference Highlights
- International Academic Presentation Platform
- ISBN Conference Proceedings Inclusion
- Journal Publication Opportunities (Peer-Reviewed)
- Global Networking & Research Collaboration
- Presentation Certificate & Academic Recognition
- Hybrid Participation (In-Person / Virtual)
Important Dates
Conference Venue
Crowne Plaza
San Francisco,
CA, USA
Join as Listener / Attendee
Attend the conference without submitting a paper. Listener delegates can participate in keynote sessions, networking activities, panel discussions and receive participation certificates.
- Access to all conference sessions
- Participation Certificate
- Networking Opportunities
- No Paper Submission Required
Verify Letters & Certificates
All official invitation letters, acceptance letters, certificates and payment confirmations issued by IAARHIES can be verified online through our secure document verification portal.
- QR-Based Verification
- Official Acceptance Letters
- Certificate Verification
- Secure Document Validation
Conference Scope
The conference welcomes original research, systematic studies, benchmark analyses, reproducible experiments and interdisciplinary contributions spanning artificial intelligence, data science and emerging technologies. Submissions should clearly articulate novelty, methodology, evaluation and implications for research or practice.
Work addressing responsible deployment, human-centred design, interdisciplinary integration and real-world deployment challenges is especially encouraged, alongside foundational advances that can support the next generation of intelligent systems.
Who Should Attend
Registration Fees
Conference Programme Overview
Publication & Indexing Opportunities
Conference Proceedings
All accepted and presented papers will be included in the official conference proceedings with a valid ISBN.
Partner Peer-Reviewed Journals
Selected high-quality papers may be considered for publication in associated international peer-reviewed journals.
Review & Editorial Decision
Journal publication is subject to independent editorial review, scope alignment and revision requirements.
Ready to Participate in San Francisco 2026?
Join an international academic platform to present your research, connect with global scholars and gain publication opportunities.