Go offline with the Player FM app!
AI Technology Autonomously Optimizes Complex Chemical Processes
Manage episode 523837605 series 3415024
Yokogawa's Vaaler Award-winning reinforcement learning algorithm reduces implementation time, balances plant objectives and achieves rapid learning in trials.
Factorial Kernel Dynamic Policy Programming, or FKDPP, a reinforcement learning AI developed by Yokogawa and the NARA Institute of Science and Technology and applied by Yokogawa to process industries is the first reinforcement learning AI to autonomously control complex chemical processes, FKDPP complements manual and conventional control methods like PID and advanced process control.
Karthik Gopalakrishnan, part of the digital transformation, smart manufacturing, artificial intelligence, cybersecurity and industrial automation team at Yokogawa, discusses the award-winning tech with EIC Traci Purdum
141 episodes
Manage episode 523837605 series 3415024
Yokogawa's Vaaler Award-winning reinforcement learning algorithm reduces implementation time, balances plant objectives and achieves rapid learning in trials.
Factorial Kernel Dynamic Policy Programming, or FKDPP, a reinforcement learning AI developed by Yokogawa and the NARA Institute of Science and Technology and applied by Yokogawa to process industries is the first reinforcement learning AI to autonomously control complex chemical processes, FKDPP complements manual and conventional control methods like PID and advanced process control.
Karthik Gopalakrishnan, part of the digital transformation, smart manufacturing, artificial intelligence, cybersecurity and industrial automation team at Yokogawa, discusses the award-winning tech with EIC Traci Purdum
141 episodes
Alle episoder
×Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.