Among the many surprises at PCB East this spring was the appearance of a pair of scientists from a semi-obscure (to we laypeople) government contractor called, obliquely, JLab.
JLab is shorthand for Jefferson Lab, or its official name, the Thomas Jefferson National Accelerator Facility (TJNAF). The facility is operated on behalf of the US Department of Energy, which has a budget larger than Jabil or Flex, and oversees, among other things, the US nuclear arsenal.
Now, in the event you haven’t been paying attention, the US government has been in the media kind of often of late, for reasons too numerous for this page to detail. But one big newsworthy item has been the administration’s efforts to change the federal government’s budget priorities.
Certainly, most readers are familiar by now with the Chips Act, the overarching legislation passed in fall 2022 that authorized more than $50 billion in direct spending and tax incentives to rally North American semiconductor production. It was perhaps the most significant government-led mandate since the European Union ratified the Restriction of Hazardous Substances Directive (RoHS).
And most are also aware of a similar, albeit smaller, bill to bolster domestic printed circuit board and IC substrate production that has been proposed in Congress but has yet to make it out of committee. (The latest version, called the Protecting Circuit Boards and Substrate Act, was introduced in late May.)
Far beyond the headlines, the team representing Jefferson Lab is working on an AI solution for the manufacturing side of the PCB industry. Which is how we came to find team members Dr. Thomas Britton and Dr. Nataliia Matsiuk walking the show floor at PCB East, talking with PCB manufacturers as part of a DoE academic program that aims to get scientists out of the labs to learn what problems the industry faces.
As Britton explains on a recent podcast we did, he and Matsiuk are technologists and problem-solvers out to provide tailored solutions applicable to the industry at large. What they need in return is for manufacturers to explain what their problems are.
“A lot of value is sitting above the manufacturing process,” Britton says, referring both to inaccessible collected data and missed opportunities to collect other useful data. “Can we make something adaptive and reactive utilizing that data coming from the manufacturing line?”
“There’s a lot of data being produced,” he elaborates. “It’s very complicated, lots of steps.” The DoE program seeks to take the data from those steps, aggregate it and use it to better assess the manufacturing process holistically, he says, getting in front of potential variances as opposed to, “ ‘Oh, what, there’s a problem here?’ ”
Clearly there is (or was) government momentum to support critical industries. While the Chips Act and Boards Bill are still trying to execute on their lofty goals, the DoE has been honing its craft for years.
The subtle gem of the DoE is it is already taxpayer funded. The crucial lever, then, isn't money – but communication.
“We’re doing things to help our science. And we’re funded from taxpayer dollars through the DoE to do the work we do,” he says.
One program, for instance, was for machine vision, which sought to replace shift workers with AI solutions.
“We’re looking at deep learning and those kinds of solutions,” says Britton. “One thing that I’ve heard of that’s a roadblock for a lot of factories, at least in the US, to develop this smart factory, is to be able to communicate with the AI systems. [Manufacturers] don’t have equipment that’s capable of reporting and communicating this [data].
“What we’ve found is Asia is very well-instrumented. Around [the US], legacy machinery maybe isn’t collecting the data. They didn’t know it would be valuable. We see PCB as a beachhead to prove out the technology because you have similar challenges, especially with substrate-like manufacturing techniques that are coming up.”
As part of their commercialization strategy, the DoE is considering an open AI model in which its researchers partner with a private manufacturer, and the improvements in the line outputs make up the proof of concept.
“I think it’s going to take a lot of partnerships between the lab, the researchers and industry partners to really dig into the data that is held so close to the chest for a variety of reasons.
“You take the knowledge you gain at one company and to go to the next one. And you are transferring that knowledge – just like an employee working at one firm and then moving to a different firm – without exposing the secrets of any party involved to enhance the manufacturing across the line,” Britton says.
“I think, right now, our top hypothesis is that you would do it through embedding with viable partners willing to give you the data, work with you, devote the time and then hopefully it would be made commercially available.”
Fabricators have often privately groused that the US government can be a roadblock to success. Will they take the opportunity to clear that path now that they know it’s available?
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is president ofIt’s not often you get the chance to talk shop with Hayao Nakahara, Gene Weiner, Tom Kastner and David Schild. When you do, you’re best off sitting back and listening.
That was the order of the day during the PCB East conference last month. Under the auspices of another media group, I was asked to moderate a panel on the future of PCB manufacturing in North America. And while journalists are often thought of as the seers of the industry, we are, in fact, more purveyors of others’ insights, versus prognosticators in our own right.
Since our founding, PCEA has sought to collaborate with other associations wherever we could.
We quickly formed alliances with peers in Australia, Germany, India, Malaysia, Taiwan, Thailand and more. And our founders and leaders sit atop key technical committees in other organizations, such as IPC.
PCEA is the leading printed circuit design organization in the world, and in many instances these ties are intended to fill key technical gaps. We also see a mutual need to ensure our members have access to a wide range of manufacturing experts in every geography.
It was in 1997 when I visited Ireland for the first time. I was 30 years old then, and had lived in metropolitan cities (Chicago, Providence) for most of my adult life.
Even then, I was fairly well traveled for my age: three continents, 40+ states. And, like many 30-year-olds, I was well acquainted with local nightlife, its various charms and debaucheries, and especially, its demographics.
Through years of travel for business or pleasure, I had come to the realization that most bars (or pubs or haunts or dives or whatever colloquialism you prefer) aimed at a certain clientele. That customer base varied by the place, but in general, there were the bars and clubs for the younger crowd, the pubs for the middle aged, and the lounges for the older set.
Every so often, of course, we “young ones” might venture into the territory of our elders, be it out of curiosity or convenience. Likewise, the “parents” might wander into the joints that were typically the provenance of the college crowd – on football game days or alumni weekends, for instance. But for the most part, each generation generally stuck to its own designated spots.
So much of the focus of the past five years has been on artificial intelligence and its increasing role in society. Specific to electronics design and manufacturing, scores of companies are now involved in developing large language models and generative AI engines to power next-generation tools capable of synthesizing huge amounts of data and driving subsequent action.
According to Bloomberg, venture capitalists invested some $97 billion into artificial intelligence startups in the US alone in 2024. That’s about half of all the monies by US startups last year. Many of these technologies are unproven, however, and the companies’ founders have little or no track record of success bringing products to market or growing a profitable entity.
Does anyone feel like we are reliving the dot-com bubble of the late 1990s and early 2000s?
And it does make me wonder whether all the hype around AI is obfuscating other significant developments in the electronics space.
The many billions of dollars in direct funding or incentives the US Chips Act has bestowed on domestic manufacturers continue to obscure the basic adage that a chain is only as strong as its weakest link.
That truism was tested, again, in late November as Denkai America, the US-based subsidiary of the Japanese materials company, announced its intentions to close and liquidate its copper foil manufacturing plant in Augusta, South Carolina, the last such factory in the United States.
The news comes just two years after its parent company, Nippon Denkai, heralded the site as the future of foil production, with tens of millions of dollars in investments planned and hundreds of new jobs expected. The company cited financial problems stemming from semiconductor shortages, a decrease in exports of batteries manufactured domestically, lower demand for smartphones, and other factors for the decision.