A new era is emerging where engineering drives AI—and AI transforms engineering
This week Matt Kirchner is joined by Dr. Pramod Khargonekar—Vice Chancellor for Research at UC Irvine and lead author of the ERVA report AI Engineering: A Strategic Research Framework to Benefit Society. Dr. Khargonekar unpacks the emerging discipline of AI Engineering, where engineering principles make AI better, and AI makes engineered systems better.
From robotics and energy systems to engineering education and data sharing, this episode dives into the flywheel effect of AI and engineering co-evolving. Pramod explains the real-world impact, the challenges ahead, and why this moment represents a generational opportunity for U.S. leadership in both innovation and education.
Listen to learn:
3 Big Takeaways from this Episode:
1. AI is transforming every branch of engineering—from design and simulation to manufacturing and operations. Pramod explains how fields like robotics, fluid mechanics, and materials science are being reshaped by tools such as reinforcement learning and foundation models. This shift isn’t just about efficiency—it’s enabling engineers to solve problems they couldn’t approach before.
2. Engineering will play a critical role in advancing the next generation of AI. Pramod highlights how engineering disciplines contribute essential elements like safety, reliability, power systems, and chip design to AI development. These contributions are vital to scaling AI into real-world, physical systems—what he calls “physical AI.”
3. To lead in AI Engineering, higher education must integrate AI into every engineering discipline. Dr. Khargonekar outlines how universities can start with shared foundational courses, then build field-specific AI applications into majors like mechanical or electrical engineering. He also emphasizes the importance of short courses, professional development, and industry partnerships to support lifelong learning.
Resources in this Episode:
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By Matt Kirchner
5
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A new era is emerging where engineering drives AI—and AI transforms engineering
This week Matt Kirchner is joined by Dr. Pramod Khargonekar—Vice Chancellor for Research at UC Irvine and lead author of the ERVA report AI Engineering: A Strategic Research Framework to Benefit Society. Dr. Khargonekar unpacks the emerging discipline of AI Engineering, where engineering principles make AI better, and AI makes engineered systems better.
From robotics and energy systems to engineering education and data sharing, this episode dives into the flywheel effect of AI and engineering co-evolving. Pramod explains the real-world impact, the challenges ahead, and why this moment represents a generational opportunity for U.S. leadership in both innovation and education.
Listen to learn:
3 Big Takeaways from this Episode:
1. AI is transforming every branch of engineering—from design and simulation to manufacturing and operations. Pramod explains how fields like robotics, fluid mechanics, and materials science are being reshaped by tools such as reinforcement learning and foundation models. This shift isn’t just about efficiency—it’s enabling engineers to solve problems they couldn’t approach before.
2. Engineering will play a critical role in advancing the next generation of AI. Pramod highlights how engineering disciplines contribute essential elements like safety, reliability, power systems, and chip design to AI development. These contributions are vital to scaling AI into real-world, physical systems—what he calls “physical AI.”
3. To lead in AI Engineering, higher education must integrate AI into every engineering discipline. Dr. Khargonekar outlines how universities can start with shared foundational courses, then build field-specific AI applications into majors like mechanical or electrical engineering. He also emphasizes the importance of short courses, professional development, and industry partnerships to support lifelong learning.
Resources in this Episode:
Connect with ERVA on Social Media:
X | LinkedIn | Facebook
We want to hear from you! Send us a text.
Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn
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