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[Summer Shorts] What happens when Machine Learning meets the laws of physics?

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Manage episode 503893814 series 3557161
Content provided by Capgemini. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Capgemini 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.

In this episode of New Era of Engineering, host Brian Doherty is joined by Pradeep Mohanasundaram, a consultant in multi-physics modelling and optimisation at Capgemini Engineering, to explore how hybrid machine learning is reshaping the way we simulate complex physical systems. By combining data-driven AI with physics-based models, hybrid ML enables more accurate simulations, even when data is scarce. From discovering missing physics to solving inverse problems and reducing computational demands, this episode dives into the future of simulation science and why it matters for engineering innovation.

Guest : Pradeep Mohanasundaram, a consultant in multi-physics modelling and optimisation at Capgemini Engineering

Host: Brian Doherty ​

Production & Realization: Brockhill Creative Ltd.

  continue reading

34 episodes

Artwork
iconShare
 
Manage episode 503893814 series 3557161
Content provided by Capgemini. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Capgemini 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.

In this episode of New Era of Engineering, host Brian Doherty is joined by Pradeep Mohanasundaram, a consultant in multi-physics modelling and optimisation at Capgemini Engineering, to explore how hybrid machine learning is reshaping the way we simulate complex physical systems. By combining data-driven AI with physics-based models, hybrid ML enables more accurate simulations, even when data is scarce. From discovering missing physics to solving inverse problems and reducing computational demands, this episode dives into the future of simulation science and why it matters for engineering innovation.

Guest : Pradeep Mohanasundaram, a consultant in multi-physics modelling and optimisation at Capgemini Engineering

Host: Brian Doherty ​

Production & Realization: Brockhill Creative Ltd.

  continue reading

34 episodes

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