Following the successful first edition of the workshop of “Intelligent Applications for Industrial Systems” at IJCNN 2025, this second edition expands the focus to explore the challenges and opportunities brought by advanced AI-based models including large-scale neural architectures in industrial domains. The workshop remains aligned with IJCNN’s core themes, especially the intersection of neural network models, cognitive modelling, and real-world applications.

This edition emphasizes the integration of advanced AI-based models e.g., large-scale neural networks— such as foundation models and transformer-based systems—into industrial systems. These models are transforming intelligent system design in areas like computer vision, decision support, autonomous control, and predictive maintenance, with applications in smart manufacturing, autonomous vehicles, healthcare, energy systems, and digital twins. This aligns closely with IJCNN topics on neural network applications in manufacturing, hybrid intelligent systems, and embedded neural systems.

We invite contributions addressing scalability, interpretability, domain adaptation, safety, and deployment of large neural systems in industrial contexts. The workshop offers a platform to share best practices, novel architectures, and case studies, and to explore how neural networks can bridge cognitive inspiration and practical industrial intelligence.

Call For Paper

Topics of interest include, but are not limited to:

• Large-scale neural network models for industrial applications (e.g., transformers, foundation models, graph neural networks)

• Industrial computer vision using large AI models (e.g., defect detection, visual inspection, scene understanding, anomaly detection)

• Predictive maintenance and fault detection with deep learning

• Autonomous control systems powered by neural networks (e.g., for robotics, drones, or automated production lines)

• Domain adaptation and transfer learning in industrial settings

• Applications of multimodal AI in smart manufacturing and logistics (e.g., combining vision, language, sensor data)

• Explainability and interpretability of AI in safety-critical systems

• Neural attention and saliency modeling in industrial decision systems

• Hybrid intelligent systems combining symbolic and neural approaches

• Trustworthiness and critical industrial settings

Important Dates

• Workshop Paper Submission Deadline: March 25th, 2026

• Paper Acceptance Notification: April 16th, 2026

• Camera-Ready Paper Submission Deadline: April 30th, 2026

• Workshop Date: TBD (One day between June 21–26, 2026 )

Author Instructions

Details will be announced soon. 

Organizers

Keynote Speakers