Overview
The upcoming European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2026) is set to feature a special session focused on Neuro-Symbolic AI and Complex Data. This event will take place in Bruges, Belgium, from April 22 to April 24, 2026. The session aims to explore the integration of symbolic reasoning with machine learning to address challenges in complex data environments.
Background & Relevance
Neuro-Symbolic AI represents a significant advancement in the field of artificial intelligence, particularly in its application to complex data types such as images, text, and graphs. Traditional data-driven approaches often struggle in scenarios requiring structured reasoning and interpretability. By combining symbolic reasoning with sub-symbolic learning, Neuro-Symbolic AI offers a pathway to create more robust, explainable, and trustworthy AI systems. This approach is particularly relevant in domains like drug discovery and industrial automation, where human knowledge and structured reasoning are crucial.
Key Details
- Event: ESANN 2026 Special Session on Neuro-Symbolic AI and Complex Data
- Location: Bruges, Belgium
- Dates: April 22-24, 2026
- Paper Submission Deadline: November 19, 2025
- Acceptance Notifications: January 23, 2026
- More Information: ESANN Special Sessions
Eligibility & Participation
This call for papers is open to researchers and practitioners from various disciplines who are exploring the intersection of symbolic reasoning and machine learning. Contributions that showcase innovative ideas, improvements, and cross-disciplinary integrations are particularly encouraged.
Submission or Application Guidelines
Interested participants should prepare their papers in accordance with the submission guidelines provided on the ESANN website. The submission process will involve the following steps:
1. Prepare your manuscript according to the specified formatting guidelines.
2. Submit your paper by the deadline of November 19, 2025.
3. Await notification of acceptance by January 23, 2026.
Additional Context / Real-World Relevance
The integration of Neuro-Symbolic AI into complex data applications holds the potential to revolutionize various fields by enhancing model sustainability and transparency. This approach can lead to AI systems that are not only effective but also align with human-centric goals, making them more applicable in real-world scenarios. The session at ESANN 2026 aims to highlight these advancements and foster discussions around their implications.
Conclusion
The Neuro-Symbolic AI and Complex Data session at ESANN 2026 presents a valuable opportunity for researchers to contribute to a rapidly evolving area of AI. Interested parties are encouraged to submit their papers and engage with the community to explore innovative solutions to complex data challenges.
Category: CFP & Deadlines
Tags: neuro-symbolic ai, complex data, machine learning, symbolic reasoning, data-driven models, esann, artificial intelligence, decision support systems
