- Challenges in adopting AI for automation/process control.
- How visual programming tools and open systems lower the barrier to implementing AI applications.
- State of the art techniques combine neural networks and evolutionary learning methods with capture of expert knowledge and best practices for real-time process control.
- AI applications optimizing complex processes in the steel and energy sectors, resulting in substantial environmental and cost savings.
Griffin Open Systems
04:15PM - Day 1