An Academic Look at Al in Electronics Manufacturing: Where It Works, Fails, & Why It Matters - # 187

Описание: Artificial intelligence is being promoted as the next revolution in electronics manufacturing, but what happens when the people evaluating it aren’t traditional AI experts, aren’t software vendors, and aren’t selling anything?

Today’s conversation brings together engineers and professors who live at the intersection of education, reliability, and real-world manufacturing to separate meaningful progress from speculation.

Each episode brings together engineers, researchers, and industry leaders to examine best practices, emerging technologies, and real-world lessons, always with a focus on data, physics, Best practices, and long-term performance.

Today’s episode is a little different—and the setting couldn’t be better.

I’m recording live from the Big Island of Hawaii, in Kona, at the SMTA Pan Pacific Strategic Electronics Symposium, better known as PanPac.

At PanPac, academia meets industry in a way that’s truly unique.

Leading international universities join forces with CEOs, inventors, senior engineers, and decision-makers from around the world.

This is where the brightest research collides with the most pressing industry challenges — and sparks solutions that drive the future of electronics.
I’m honored to be the conference chair, especially on this 30th anniversary of PanPac.

This episode is all about “AI in Action: Progress, Pitfalls, and the Future of Electronics.”

Artificial intelligence is becoming a frequent topic in electronics manufacturing—from inspection and process optimization to predictive maintenance and reliability modeling.

But rather than approaching this conversation from the standpoint of AI evangelists or software developers, we’re taking a different path.

My panelists are: Eva Hymes, Hayden Lee, Dr. Ron Lasky, and Dr. Pradeep Lall.

None of today’s panelists claim to be AI experts. Instead, they are engineers and professors who sit at the intersection of education, engineering, and real-world manufacturing challenges.

Their perspective is grounded in physics, data, reliability science, and decades of experience teaching the next generation of engineers—many of whom will be working alongside AI-driven tools whether they choose to or not.

Because all of our panelists come from academia, this conversation intentionally steps back from hype and buzzwords.

We’ll focus on how AI is actually being used, where it shows promise, where it introduces risk, and where critical gaps still exist—especially in high-reliability electronics manufacturing. And because PanPac serves the electronics manufacturing community, we’ll keep this discussion connected to the factory floor, workforce readiness, education, and long-term product reliability.

We’ll also touch on broader societal questions, including how AI is shaping engineering education and professional intuition.

So if you’re looking for a grounded, thoughtful discussion on AI—one rooted in engineering reality rather than marketing claims—this episode is for you.