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Industrial AI Podcast

Automotive: Battery Testing with AI

Feb 14, 2024
Richard Ahlfeld, CEO of Monolith AI, discusses the rising importance of battery testing for automotive applications and the application of AI and machine learning in this field. He shares insights on optimizing test plans, the technical aspects of battery testing with AI, and the challenges of deploying a cloud-based toolbox for battery testing.
25:34

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Podcast summary created with Snipd AI

Quick takeaways

  • Monolith AI's machine learning platform helps engineering companies optimize battery test plans and analyze large amounts of battery test data.
  • Monolith AI's toolbox utilizes machine learning to assist engineers in selecting the right battery chemistry and modeling battery behavior.

Deep dives

The Rising Importance of Batteries in the Industrial AI Space

Monolith AI, a machine learning platform, has noticed a significant increase in interest and demand for battery testing. As batteries have become a hot topic in recent years, Monolith AI has sharpened their focus on supporting engineering users in building machine learning models based on battery data. The company has developed a unique toolbox that helps engineering companies test and understand battery behavior. They address the challenge of selecting the right battery chemistry and the difficulty in modeling and predicting battery behavior. With the increasing amount of battery test data being generated, Monolith AI's platform utilizes machine learning algorithms to optimize test plans, recommend which tests to prioritize, and analyze large amounts of battery test data.

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