Topics of Interest

The Industry Track of NeSy 2026 invites submissions detailing the practical applications of neuro-symbolic AI in real-world settings. We define neuro-symbolic AI applications as systems that:

• solve complex problems through the integration of deep learning and symbolic components;
• leverage symbolic knowledge bases and expressive metadata to enhance deep learning systems;
• support explainability and transparency through the use of background knowledge (XAI);
• employ machine learning techniques for graph-based reasoning.

The focus is on deployed systems, business value, and the challenges of moving from research to production. Topics include, but are not limited to:

• Case studies and success stories of deployed neuro-symbolic systems in specific verticals, such as finance, healthcare, robotics, or manufacturing.
• Best practices and lessons learned from integrating neural and symbolic methods in an industrial context.
• Integration of Large Language Models (LLMs) with symbolic reasoning to improve factuality, planning, and reliability.
• Discussions on scalability, reliability, and other challenges encountered in production environments.
• Design and implementation of guardlines for deep learning systems using symbolic methods, such as mathematical reasoning.
• Reports on barriers to adoption and strategies for overcoming them.
• Benchmarks, datasets, tasks, and evaluation metrics or approaches with an industry context.
• Analyses of business value, ROI, and competitive advantages gained from using hybrid AI.

Submission Guidelines

• Submission Portal: All submissions must be made through Easychair before the deadline. See submission link (soon).
• Page Limit: Industry track submissions should provide an overview of an industrial effort related to neuro-symbolic AI and need to be 3 to 4 pages, excluding references.
• Formatting: Please use the official LaTeX conference template.
• Content Focus: Submissions should describe a real-world application, its impact, and the lessons learned. Purely promotional or marketing material will be rejected.
• Review Process: All submissions must be anonymized to facilitate a double-blind review process.
• Presentation: The conference will be held in person. At least one author for each accepted paper must register and physically attend the conference to present their work.
• Proceedings: Accepted industry papers will be included in the official conference proceedings.

Oganizing Committee

General Chair

• Catia Pesquita, Universidade de Lisboa

Program committee co-chairs

• Alessandro Mileo, Insight SFI Research Centre for Data Analytics, Dublin City University, Ireland
• Cogan Shimzu, Wright State University, USA
• Andrea Passerini, Università degli Studi di Trento, Italy

Industry track co-chairs

• Daria Stepanova, Bosch Center for AI, Germany
• Patrick Schneider, Siemens AG, Germany

Contact

All questions about submissions should be addressed to organisers@nesyconf.org.