IEEE AI Coalition Podcast Series

IEEE AI Coalition: Episode 5 - Discussing the Enterprise GenAI Summit with Intel's Mrinal Kavir

21 min · 7 de nov de 2025
Portada del episodio IEEE AI Coalition: Episode 5 - Discussing the Enterprise GenAI Summit with Intel's Mrinal Kavir

Descripción

In this episode of the IEEE AI podcast, host Daswin De Silva talks to Mrinal Kavir, a Principal AI Product Manager at Intel Corporation. Mrinal was general co-chair for a new IEEE event called the Enterprise Generative AI Summit, and they discuss the excitement generated by that event and the takeaways that came from it. Mrinal also details her role driving innovation at the intersection of generative AI, hardware, and software ecosystems, emphasizing the crucial importance of optimizing the AI stack end-to-end for performance and power gain.

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episode IEEE AI Coalition: Episode 6 - AI and the Evolution of Materials Science Discovery artwork

IEEE AI Coalition: Episode 6 - AI and the Evolution of Materials Science Discovery

In this episode of the IEEE AI Podcast, host Daswin De Silva explores the groundbreaking efforts at the University of Missouri to revolutionize materials science through artificial intelligence and machine learning. Guests Matthias Young, an expert in thin-film coatings and electrochemistry, and Jim Keller, a pioneer in computational intelligence, discuss an interdisciplinary project aimed at moving beyond traditional, serendipitous discovery methods. By leveraging Large Language Models (LLMs) and Bayesian optimization algorithms, the team can navigate vast parameter spaces to model and test material "recipes"—such as sustainable battery electrodes and advanced semiconductors—in a fraction of the time required by manual lab experiments. This conversation highlights the unique partnership between researchers from different fields and backgrounds, and explores how autonomous material discovery is poised to transform the manufacturing landscape, enhance energy efficiency, and address global resource scarcity.

13 de ene de 202642 min