Artificial Intelligence Conference 2026
Intelligent Systems Conference (IntelliSys) stands as a leading international conference on machine learning and artificial intelligence, bringing together the global AI research community to advance theory, methods, and applications. Founded in 2015, this premier AI conference has established a strong reputation for rigorous peer review, academic excellence, and international reach, with participants from over 50 countries.
The conference provides a high-level forum for the dissemination of original research in artificial intelligence, machine learning, and intelligent systems. It fosters critical dialogue across disciplines, supports the development of robust theoretical frameworks, and examines the societal and industrial implications of AI-driven technologies.
IntelliSys 2026 continues to shape the research agenda of the AI and machine learning community worldwide.
Why attend this AI conference?
Proceedings
Proceedings will be published in Springer series "Lecture Notes in Networks and Systems".
Awards
The conference recognizes outstanding papers and posters presented at the conference. Awards are presented across various categories, with recipients recognized during the conference closing.
Keynote Talks
Thought-provoking lectures by globally recognized leaders in AI and machine learning research at this premier machine learning conference
International Audiences
Join a vibrant international community at this leading AI conference, where collaboration, knowledge sharing, and lasting professional partnerships thrive.
AI Conference Tracks
Artificial Intelligence
- Deep Learning
- Large language models (LLMs)
- Computational Intelligence
- Natural Language Processing (NLP)
- Artificial General Intelligence (AGI)
- AI Governance
- Quantum Machine Learning
- Explainable AI
- Responsible AI
- AI for Healthcare
Computer Vision
- Human Computer Interaction
- Pattern Recognition
- Image and Video Processing
- Vision-Based Security
- Brain–Machine Interfaces
- Cloud & Edge-enabled Vision Systems
- Sentiment Analysis
- Multimodal Systems
- 3D Vision Systems
- Virtual, Augmented & Mixed Reality
IoT & Cyber-Physical Systems
- IoT Architectures and Protocols
- Wearables
- Sensing and Sensor Networks
- Smart Cities
- Geographic Information Systems
- AI for Energy
- Model-Driven Architecture
- ADAS & Autonomous Vehicles
- Digital Twins
- Decentralized Systems
Intelligent Systems
- Agents and Multi-agent Systems
- Robotics
- Pervasive Computing
- Distributed and Hybrid AI
- AI for Climate Change & Sustainability
- Affective Computing
- Secure Architectures
- Neuromorphic Systems
- Adaptive Intelligent Systems
- Decision-Making Systems