Artificial intelligence is already revolutionizing Industry 4.0 practices by transforming static automation into dynamic, self-optimizing systems that learn and adapt in real-time. This track introduces AI-based methods for automation in manufacturing, demonstrating how artificial intelligence enhances traditional automation systems through intelligent optimization and adaptive decision-making.

We will explore key directions including AI-enhanced process simulations, optimization, and control algorithms. These methods enable manufacturing systems to learn from data, adapt to changing conditions, and continuously improve performance beyond what conventional automation can achieve.

The presentations cover novel approaches, real-world case studies, and strategic considerations for integrating AI into existing manufacturing and industrial environments. Attendees will gain insights into selecting appropriate AI methods for their automation challenges and understanding the pathway from traditional automation to intelligent manufacturing systems.