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Battery Intelligence Podcast
Brad Newton, Lawrence Harvey
4 episodes
1 day ago
Welcome to the Battery Intelligence Podcast, hosted by Brad Newton from Lawrence Harvey. Join us as we explore Battery AI, discussing topics like integrating data analytics for EV performance, AI and ML in experimental facilities, and machine learning-based lifetime prediction. Discover advancements in charging optimization, uncertainty-aware algorithms, and physics-informed ML for fault feature extraction. We aim to provide reliable insights into electric vehicle health, safety, and performance. Subscribe for thought-provoking discussions at the intersection of AI, ML, and battery technology,
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All content for Battery Intelligence Podcast is the property of Brad Newton, Lawrence Harvey and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Welcome to the Battery Intelligence Podcast, hosted by Brad Newton from Lawrence Harvey. Join us as we explore Battery AI, discussing topics like integrating data analytics for EV performance, AI and ML in experimental facilities, and machine learning-based lifetime prediction. Discover advancements in charging optimization, uncertainty-aware algorithms, and physics-informed ML for fault feature extraction. We aim to provide reliable insights into electric vehicle health, safety, and performance. Subscribe for thought-provoking discussions at the intersection of AI, ML, and battery technology,
Show more...
Careers
Business
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Ultrasonic and Machine Learning Tech for Advanced Battery Cell Inspection with Andrew Hsieh, Co-Founder/CEO at Liminal Insights
Battery Intelligence Podcast
21 minutes 49 seconds
1 year ago
Ultrasonic and Machine Learning Tech for Advanced Battery Cell Inspection with Andrew Hsieh, Co-Founder/CEO at Liminal Insights

In this episode of the Battery Intelligence Podcast, we delve into the cutting-edge technology shaping the future of battery inspection with Andrew Hsieh, the co-founder and CEO of Liminal Insights. Andrew shares his expertise on how ultrasonic inspection combined with machine learning analytics can revolutionize the manufacturing stages of battery cells. We explore: - Andrew’s background and journey - Liminal’s mission and vision - The science behind using ultrasound for battery inspection - An in-depth look at EchoStat® - The impact of AI and machine learning on battery technology - Current products and partnerships - Liminal’s future roadmap and vision for the industry Join us for an enlightening conversation that uncovers the intersection of advanced technology and the battery industry. About the Guest Andrew Hsieh is a pioneering figure in the battery technology sector, serving as the co-founder and CEO of Liminal Insights. With a PhD in Chemical and Materials Engineering from Princeton and a BS in Chemical and Biomedical Engineering from UCLA, Andrew has dedicated his career to enhancing battery performance and reliability. At Liminal, he co-invented EchoStat®, a groundbreaking product that leverages ultrasonic inspection and machine learning analytics to provide an unparalleled view inside battery cells, facilitating advanced inspection throughout the manufacturing process. Andrew’s work is pivotal in driving the production of cost-effective and high-performing batteries, crucial for our transition to a clean energy future. Tune in to gain valuable insights into the innovations transforming the battery industry and learn from one of its leading experts.

Battery Intelligence Podcast
Welcome to the Battery Intelligence Podcast, hosted by Brad Newton from Lawrence Harvey. Join us as we explore Battery AI, discussing topics like integrating data analytics for EV performance, AI and ML in experimental facilities, and machine learning-based lifetime prediction. Discover advancements in charging optimization, uncertainty-aware algorithms, and physics-informed ML for fault feature extraction. We aim to provide reliable insights into electric vehicle health, safety, and performance. Subscribe for thought-provoking discussions at the intersection of AI, ML, and battery technology,