Chip Industry Week in Review


San Francisco-based Substrate raised more than $100 million to build a vertically integrated foundry that uses particle accelerators to produce "the world's brightest beams, enabling a new method of advanced X-ray lithography." The company claims its technology is comparable to ASML's high NA EUV, and notes it can extend well beyond 2nm. ASML has not publicly commented. The Nexperia chip sho... » read more

Ensuring Reliability Becomes Harder In Multi-Die Assemblies


Multi-die assemblies are bringing together a variety of materials and processes with distinctly different physical properties, creating significant challenges in manufacturing and packaging that can impact yield at time zero and reliability in the field. What passes electrical screening at the end of the line may look good on paper, but these devices can still fail once exposed to rapid and ... » read more

Digital Twins For Packaging: Bridging Design, Fab, Test, And Reliability


Digital twins dominated discussions at SEMICON West this year, appearing in keynote presentations, panel sessions, and workshops. The conversation reflected a noticeable shift in how the industry views the technology. What once was mainly associated with design exploration now spans the manufacturing lifecycle. In packaging and assembly, digital twins are emerging as a way to connect design ... » read more

New Frontiers In Fault Detection And Classification


IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) to trace faults to their cause. Today’s FDC systems feature better sensors, variability control, and both predictive and prescriptive modeling. In the future, FDC will enable real-time decisio... » read more

Smarter Packaging: How AI is Reshaping Assembly and Materials Control


When a multi-die package worth $500 fails final test because of a defect that originated three process steps earlier, the economics of advanced packaging become painfully clear. Each excursion carries downstream costs that ripple across assembly, final test, and even system qualification. As packaging margins tighten, the industry is betting on artificial intelligence (AI) to catch those pro... » read more

Virtual Metrology In Semiconductor Manufacturing


Fourth in a seven-part series: Virtual metrology may never be 100% perfect because of the almost unlimited number of changes in a fab tools and the unique chip and wafer designs they're being used to process. But there are places where virtual metrology does make sense. Jon Herlocker, vice president and general manager of software analytics at Cohu, talks about why virtual metrology will never ... » read more

Chip Industry Week in Review


Amkor, TSMC, and Cadence partnered with Tesoro VC, which will serve as the lead operator of a new Global AI + Semiconductor Startup Hub and a Global Design Center in Phoenix, Arizona, aimed at chip innovation, startup growth, and advanced manufacturing. Nvidia will invest $5 billion in Intel common stock at a purchase price of $23.28 per share and the companies will collaborate on AI infrastru... » read more

Precision Under Pressure: Managing Materials Complexity In Advanced Packaging


In the race to extend Moore's Law through advanced packaging, the limits of precision are no longer defined solely by lithography. Increasingly, they are dictated by the unpredictable behavior of materials. Semiconductor packaging today is no longer limited to just silicon and copper. It includes an expanding range of polymers, adhesives, dielectrics, exotic metals, along with substrates suc... » read more

Using AI For Fault Detection And Classification In Manufacturing


Third in a seven-part series: Classic fault detection and classification has some classic problems. It's reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot of problems, which result in scrap. This is where machine learning can excel, because it can sift through huge amounts of data from thousands of sensors and find outlie... » read more

How Semiconductor Fabs Use Water


Water — lots of it — is a critical enabler for advanced chip architectures, lithography, and back-end packaging. It feeds the ultra-pure water loops that touch every wafer, sluicing heat out of tools that run hotter at each node, and carrying spent chemistries to treatment. The natural reaction to reports that fabs “use millions of gallons of water” is concern, but the engineering re... » read more

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