G3S





A platform for smart computing research, interdisciplinary dialogue and international collaboration
The main objective of this international conference is to provide a platform for researchers, engineers, and practitioners from academia and industry to present their latest research, address theoretical and practical challenges, and explore new avenues for collaboration and innovation.
Formerly CBI,
now G3S'26
Researchers,
engineers and practitioners
The symposium fosters the exchange of ideas, sharing of solutions, and discussion of emerging issues related to the integration of smart technologies into complex systems. The conference will feature keynote speeches from internationally recognized experts, offering valuable insights into current trends and future directions in smart and intelligent systems.
Why G3S marks a new phase of academic positioning
The scope shift reflects a broader and more cohesive focus on smart computing, intelligent networks and secure ecosystems.
Enhance scientific relevance
The new scope is aligned with emerging research fronts in AI, data ecosystems and intelligent infrastructures.
Increase international reach
The symposium aims to attract stronger international participation, broader visibility and distinguished scholarly engagement.
Encourage practical value
Submissions are expected to present complete and well-developed research with practical value for the scientific community.
Build collaboration
G3S welcomes interdisciplinary research, real-world implementations and collaborative innovation.
TRACKS
Three coherent tracks define the scientific focus of G3S'26
- Machine Learning & Knowledge Reasoning
- Autonomous Decision Support
- Context-Aware & Adaptive Algorithms
- Multi-Agent & Collective Intelligence
- Human-Centered AI Interfaces
- IoT & Edge Computing
- Smart Protocols & 5G+ Integration
- Scalable Distributed Platforms
- Event-Driven Real-Time Systems
- Resource-Aware Networking
- Privacy-Preserving Data Analytics
- Trust Models & Blockchain
- Federated & Collaborative Learning
- Anomaly Detection & Resilience
- Ethical AI & Data Compliance
