AI-driven process control employs advanced algorithms and machine learning techniques to monitor and optimize catalytic reactions in real-time. By continuously analyzing data from various sensors and instruments, AI systems can adjust operating parameters to maintain optimal performance. Key technologies include machine learning, deep learning, and neural networks.
