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AI Technology Autonomously Optimizes Complex Chemical Processes

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Manage episode 523837605 series 3415024
Content provided by chemicalprocessing. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by chemicalprocessing or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

  continue reading

141 episodes

Artwork
iconShare
 
Manage episode 523837605 series 3415024
Content provided by chemicalprocessing. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by chemicalprocessing or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

  continue reading

141 episodes

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