Keynotes
Thought-provoking lectures by globally recognized leaders in AI and machine learning research at this premier machine learning conference
Networking for Researchers
Structured and informal opportunities to build lasting academic collaborations
Peer-reviewed Papers
Cutting-edge contributions Cutting-edge contributions at this leading AI and machine learning conference, selected through rigorous academic review
Poster & Demo Sessions
Opportunities to present ongoing work and engage in scholarly dialogue at this leading AI conference
Artificial Intelligence Conference 2026
At a time when artificial intelligence is advancing at unprecedented speed, IntelliSys 2026 provides a rigorous platform for academic exchange and critical inquiry. This premier AI conference is dedicated to advancing the foundations of artificial intelligence and exploring their practical applications across disciplines.
Founded in 2015 by SAI Conferences, IntelliSys has become a leading Artificial Intelligence conference, widely recognized for its rigorous scholarship, global reach, and focus on advancing machine learning and intelligent systems. Each year, it brings together researchers, scientists, and practitioners from over 50 countries to present peer-reviewed work, exchange insights, and debate the future of AI.
The conference program is organized around the research areas shaping the frontier of intelligent systems:
- Foundations of Artificial Intelligence & Machine Learning
- Computer Vision, Perception & Human Interaction
- Robotics, Autonomous Systems & Intelligent Mobility
- IoT, Cyber-Physical & Intelligent Systems
- AI for Society, Healthcare & Sustainability
Join us at IntelliSys 2026 — a leading machine learning conference — to explore, connect, and shape the next chapter of artificial intelligence.
2024 Keynotes
Catholijn Jonker, TU Delft
Wenwu Wang, University of Surrey
Mark Salisbury, University of St. Thomas
AI Conference Tracks
Artificial Intelligence
- Deep Learning
- Large language models (LLMs)
- Neural Networks
- Computational Intelligence
- Natural Language Processing (NLP)
- Data Science
- 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
- Autonomous Vehicles
- 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 Driving
- 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
- Energy-Efficient Systems