Jun. 17, 2024
Machinery
Microchips are hot.
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The tiny bits of silicon are integral to 21st-century life because they power the smartphones we rely on, the cars we drive and the advanced weaponry that is the backbone of national security. Theyre so important that the disruption of the microchip supply chain during the pandemic became an urgent national security issue.
Also, microchips are literally hot.
Those tiny chips have mighty computing power, which builds up heat around the microchip. From the beginning, in the s, manufacturers designed packaging the materials around the chips to mitigate heat, provide protection and enable electrical current to flow.
Over the decades, as the chips became more powerful, the packaging became more sophisticated.
Now, advanced packaging is a critical part of the design and manufacture of chips, not only to protect them from the heat generated by ever-increasing power but also as a way to actually improve their performance critical as the strategy of adding more transistors on ever smaller chips, the practice that has driven the industry since the s, reaches both its financial and physical limits.
The newest generation of advanced packaging is integrated with the chips during the manufacturing process to make them work faster and even combine different kinds of chips onto one wafer for super advanced capabilities like artificial intelligence.
Its as if you had a glove that not only protected your hand but also made it stronger.
Arizona State University is poised to be a major player in this next breakthrough in microchip technology. The university is one of the few in the country that is teaching advanced packaging to its students, creating the skilled workforce thats desperately needed by the semiconductor industry. A key asset in doing that is ASUs partnerships with industry leaders to research the next innovations as well as create a cutting-edge production line.
ASU has launched a ground-breaking collaboration with Deca Technologies, a Tempe, Arizona-based provider of advanced packaging technology. ASU and Deca will create North Americas first fan-out wafer-level packaging research and development center. The new Center for Advanced Wafer-Level Packaging Applications and Development will expand domestic semiconductor manufacturing and drive advancements in artificial intelligence, machine learning, automotive electronics and high-performance computing.
In addition, ASU recently entered into a partnership with NXP Semiconductors focused on advanced packaging. Fueled by the support of the Arizona Commerce Authority, ASU received $17.5 million to expand research, development and workforce training.
Its all part of a strategy launched several years ago by ASU to become a leader in the field of advanced packaging, according to Zachary Holman, a professor in the School of Electrical, Computer and Energy Engineering at ASU.
ASUs competitive advantage in advanced packaging stems from our scale, the innovativeness of our faculty and our partnerships, which extend both locally with companies like Deca Technologies, NXP and others, and farther afield, he said.
Advanced packaging will allow the semiconductor industry to keep growing, even though shrinking transistors is no longer the path forward. And here in Arizona we have an excellent advanced packaging industry, and it's growing.
Video by ASU VisComm
The COVID-19 pandemic highlighted Americas dependency on Asia when supply chain disruptions led to critical shortages impacting consumer purchases of everything from computers to automobiles to home appliances.
In , the bipartisan CHIPS and Science Act was signed into law, releasing $52 billion over five years to help the U.S. regain its superiority in semiconductor research, manufacturing and supply chain logistics.
ASUs role in helping the U.S. become a leader in advanced packaging will enable a secure supply chain, said Holman, who also is vice dean for research and innovation in the Ira A. Fulton Schools of Engineering at ASU.
A secure supply chain allows us to make the electronics that we need for everything from consumer products to vehicles to weapons for the defense industry, he said.
Making chips do new tricks
Historically, electronics got better by making transistors smaller.
Thats a function of Moores Law, a prediction by Gordon Moore, co-founder of Intel, who said that the number of transistors on microchips would double every two years, increasing computing power while decreasing costs.
But Moores Law is no more, Holman said.
We've reached a fundamental limit where we can't make things better just by making transistors smaller anymore. And so we have to come up with a new way, he said.
Advanced packaging was developed around .
Advanced packaging allows us to put chips together in new ways to achieve new functionalities, to speed up electronics, to make them do new tricks without making transistors smaller, Holman said.
Different types of packaging are used for different applications. A smartphone combines different packaging for the graphics, the user interface and the power management. An autonomous vehicle that uses artificial intelligence is even more complex.
Tim Olson founded Deca Technologies in , after leading research and development at semiconductor company Amkor.
I had a passion to transform the way advanced packaging was done, and I felt we could do it a better way, he said.
Deca Technologies specializes in a process called fan-out wafer-level packaging and provides components used in iPhones.
Fan-out wafer-level packaging is very unique and, at a highest order, the fan-out part of it is glue. So view fan-out as glue, and you glue together things that you want to put together, whether that's a processor chip, a memory chip, a combination of memory chips, an RF (radio frequency) communication chip, a battery whatever it is that you want to put together, Olson said.
There's really no other packaging technology like it where you can glue those things together laterally, vertically, in any directions and orientations that you want.
Even as advanced packaging technology has surged in the past several years, theres still a long way to go, Olson said.
Advanced packaging today, for all the buzz that we hear, is really in its infancy, he said.
Over the next decade, there will be orders of magnitude scaling required in advanced packaging to keep up with the demands of artificial intelligence, the real-time nature of autonomous vehicles and things like that.
The new ASU-Deca Technologies collaboration the Center for Advanced Wafer-Level Packaging Applications and Development will be in the MacroTechnology Works facility in ASU's Research Park in Tempe. MacroTechnology Works is a former Motorola semiconductor fabrication facility that ASU bought in . Its more than 250,000 square feet with more than 40,000 square feet of clean room space.
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This center will allow ASU and Deca to have a joint place, a set of tools, capabilities and people to further develop what is possible in packaging, as well as training the next generation workforce by having ASU students use the equipment in the center, Holman said.
More than 20 new pieces of equipment will power the production line.
Olson said the new center will develop many types of solutions.
It's really the first fab in the U.S. where you have an open innovation platform where folks can come together, like students or industry users, producers, equipment companies, material companies, and work together on a foundation of technology that's being provided by Deca and integrated by ASU, he said.
Olson is excited for Deca Technologies work with students.
The amazing advantage of students is their intellectual curiosity, he said.
When they're working on a problem or working on a project and they see something that doesn't quite work the way we'd like it to work, they ask enough questions and they dig into it enough to often create a better way to do it or to solve a fundamental problem that's been hampering the technology for a long time.
Building a semiconductor workforce
As part of its strategy to become a leader in advanced packaging, ASU started hiring experts to become faculty. One of them is Leslie Hwang, assistant professor in the School of Electrical, Computer and Energy Engineering, who creates software models that predict chip reliability.
Packaging has become a more critical issue as technology is scaling, she said.
Were trying to pack so much power and so much function into smaller domains that thermal issues are becoming critical. Theres not enough area (for heat) to dissipate.
For a chip to function, you need a maximum temperature of 87 degrees or the chips are being fried, and you definitely dont want that. A higher temperature means slower function and accelerated aging and mechanical stress warping the material.
Hwang uses machine learning to create computer models that analyze multiple, simultaneous factors such as temperature and mechanical stress during manufacturing to determine chip reliability.
You need to predict the actual usage as much as possible in advance to do that, she said.
If you can predict well, youre not only saving cost, but it can be a foundation to build a better design. And by coming up with more effective packaging techniques, we can actually elongate the lifetime of the electronic from the consumer side.
ASU is one of the few universities in the country thats teaching advanced packaging in its engineering curriculum, with a focus on the interdisciplinary nature of the industry.
Here at ASU, we currently have 200 students-plus doing packaging-related courses, said Chris Bailey, professor in the School of Electrical, Computer and Energy Engineering.
We're seeing significant growth in those student numbers, but also we are engaging with the wider community and looking at different activities to ensure we have the workforce for the future.
Bailey teaches a graduate course on the fundamentals of packaging, from the s to today.
And this is one of the great things about ASU I have students there from chemical engineering, from materials science, from electrical engineering and from mechanical engineering because they're all important for advanced semiconductor packaging, he said.
He also teaches a course on design and modeling for advanced packaging.
So they're sitting in front of computers doing electronic (computer-assisted design), they're undertaking thermal calculations, electromagnetic calculations, the mechanical calculations. But they also learn the need to understand metrology and materials behavior.
And that's where we need that multidisciplinary knowledge for the students, and also for the next generation of advanced semiconductor packaging engineers.
Bailey said that industry partnerships teach students the real-world challenges of manufacturing.
Were engaging with companies to ask, What if we do it this way? he said.
While designing and manufacturing microelectronics to be more powerful and efficient is a key to Americas advancement, ASU is also helping to solve the critical problem of producing the workforce to do it.
With all the buzz you hear about chips and semiconductors, with TSMC coming to town, with Intel and with the $8 billion announced recently from the U.S. government and all the things happening in the Valley its still incredibly difficult for us to find the right talent, Olson said.
So I think what this partnership brings is the ability to create a very significantly enhanced pool of talent for not only for our business, but for all the businesses related to the semiconductor industry.
Sally Morton, executive vice president of ASUs Knowledge Enterprise, sees the role of the university as a strength both locally and nationally.
Arizona State University is advancing the local semiconductor industry and positioning our state as a leader in semiconductor research, manufacturing and job growth, Morton said. With help from our industry partners, we are bridging the gap between lab to fab with advanced and innovative packaging solutions to scale up production methods and optimize efficiency and cost-effectiveness.
This will strengthen domestic production and the nations critical supply chain, while enhancing the U.S.s competitiveness in the global semiconductor market in areas such as electronics, telecommunications and defense.
Different types of packaging are used for different applications. Illustration by Alex Davis and Alex Cabrera/ASU
While companies like Google, Microsoft, Amazon, and others had been upfront about their efforts in AI, for years Apple had been silent. Now, finally, its executives were talking. I got an advance look one day. Eager to shed the the impression that the most innovative of the tech giants was a laggard in this vital technology moment, its software leader Craig Federighi, services czar Eddie Cue, and top researchers argued that Apple had been a leader in AI for years but just didnt make a big deal of it. Advanced machine learning was already deep in some of its products, and we could expect more, including advances in Siri. And since Apple valued data security more than competitors, its AI efforts would be distinguished by exacting privacy standards. How many people are working on AI at Apple, I asked. A lot, Federighi told me. Another executive emphasized that while AI could be transformative, Apple wanted nothing to do with the woo-woo aspects that excited some in the field, including the pursuit of superintelligence. Its a technique that will ultimately be a very Apple way of doing things, said one executive.
That conversation took place eight years ago, when the technology du jour was deep learning AI. But a year after that, a groundbreaking advance called Transformers led to a new wave of smart software called generative AI, which powered OpenAIs groundbreaking ChatGPT. In an instant, people started judging tech companies by how aggressively they jumped on the trend. OpenAIs rivals were quick to act. Apple, not so much. Many of its best AI scientists had been working on self-driving cars or its expensive mixed-reality Vision Pro headset. In the last year or so, Apple pulled its talent from such projectsno more autonomous carsand instead came up with its own gen-AI strategy. And at this weeks Worldwide Developers Conference, Apple revealed what it was up to.
Uncharacteristically, for such an event, the news was less about products than Apples declaration that when it comes to gen AI, were on it. In an interview after the keynote, CEO Tim Cook explained the anomaly. It became clear that people wanted to know our views of generative AI in particular, he said. But just as in , there was a cautionary note: While the company would now embrace generative AI, it would do it in a very Apple way. The company refused to even label its technology as artificial intelligence. Instead, it coined the phrase Apple Intelligence, a made-up technical name whose purpose seems to distance Apple from the scary aspects of this powerful tech wave. Apple isnt interested in pursuing the singularity or making the movie Her come to life. Its using this new tool to enhance productivity and creativity, and just as with past intimidating technologies, Apple-izing AI will make it go down easy.
The approach is well timed. I date the age of generative AI from the November release of ChatGPT. We spent all of trying to absorb what it meant, and a lot of people are now experiencing a rejection impulse. Theyre repelled by AIs hallucinations and angry at the prospect of lost jobs. And most people still havent figured out what AI can actually do for them. In , smart companies have been concentrating on how this jaw-dropping technology can actually be put to use in prosaic scenarios. Apple proclaimed, AI for the rest of us. (The one time the letters AI were used in the keynote.) It was a conscious invocation of the original Macintosh slogan. Presumably, Apple will spread AI to the masses in the same way it promulgated the graphical user interface with the Mac.
In contrast to that great ambition, the products Apple touted during the keynote werent exactly revolutionary. A lot of the the demos involved summarizing, transcribing, auto-completing emails, organizing inboxes, writing paragraphs from prompts, and zapping photo-bombers from images. Those are table stakes for the gen-AI era. Apples pitch, as always, is that it will offer these advances organically woven into your normal workflow so youll actually use those features and be delighted by them. Apple has also come up with some nice twists in these products. Its Photos app promises a deeper search capability, using AI to figure out what a picture shows and whos in it to search for specific images from vague prompts. In automatically generated replies, Apple could ask you in certain cases a simple question, answerable by a single clickdo you actually want to meet this person and when?and then spin off a response that reflects your intent. More significantly, because users in Apples ecosystem have a wealth of personal information on their phones and computers, Apples AI can use that data to deliver relevant output while keeping those details onboard the devices, protecting users privacy. Apple SVP Federighistill on the casedescribes it as intelligence that understands you. (Apple even claims it will use outside investigators to verify that the data is indeed secure.)
The most interesting of the Apple announcements involved its AI assistant, Siri, which has been looking like an antique in the age of generative AI. Apple promised that in the futuremaybe ?Siri would not only become a better conversationalist but also could be a uniquely powerful personal assistant by performing complex requests involving multiple apps. Ironically, this was the vision of the original Siri team in , overruled by Steve Jobs in the pursuit of simplicityand because the underlying technology just wasnt ready. This is the exact missing link from the original Siri, says Dag Kittlaus, who was in charge of that team when Apple launched the product. Kittlaus and some key colleagues later attempted to fulfill the vision with a startup called Viv, which now lives on as a Samsung product called Bixby. In order for a complex system like this to work, its imperative to get a critical mass of developers to sign on. The WWDC program included sessions that instructed developers how to make their apps work with Siri.
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