Big Changes Ahead For Semiconductor Manufacturing


John Kibarian, CEO of PDF Solutions, talks with Semiconductor Engineering's Ed Sperling about the growing role of AI in chip manufacturing, the impact of 3D-ICs on the supply chain, and how to shorten cycle time to get leading-edge chips and multi-die assemblies to market more quickly. To listen, click here.   » read more

Secure Data Sharing Becoming Critical For Chip Manufacturing


Semiconductor companies increasingly need to share data to solve problems faster, boost yield, and trace the root cause of failed devices. But to make that work, companies need assurances that their data will be secure, free from data leaks that could result in the loss of valuable IP. Data sharing is becoming critical at leading device nodes, where process variability is starting to consume... » read more

Zero-Trust Data Sharing Architectures Redefining Chip Manufacturing


Real-time security clearances are becoming increasingly common in the manufacturing of advanced-node semiconductors, where data sharing is both essential and a potential security threat. Data security is a well-known issue in semiconductor manufacturing, but much of it is based on an outdated approach. In its place, zero-trust architectures [1] are now a requirement for new equipment and ins... » read more

AI With Open And Scaled Data Sharing in IC Manufacturing (NIST)


A new workshop report titled "Artificial Intelligence with Open and Scaled Data Sharing in Semiconductor Manufacturing" was published by NIST. Abstract "The Workshop sponsored by the National Science Foundation (NSF) (NSF award 2334590, "Artificial Intelligence with Open and Scaled Data Sharing in the Semiconductor Industry") and supported by the National Institute of Standards and Techno... » read more

The Future Of Semiconductor Manufacturing: How AI And Industry Collaboration Are Reshaping The Value Chain


The semiconductor industry stands at an inflection point. As Moore's Law scaling becomes increasingly challenging and system complexity explodes through advanced packaging and chiplet-based architectures, the traditional siloed approach to manufacturing must give way to an unprecedented level of industry collaboration. This transformation, driven by the convergence of artificial intelligence, c... » read more

Secure Data Sharing To Promote Collaboration


As the semiconductor industry evolves toward a $1-trillion revenue milestone by 2030, fueled largely by AI applications, its challenges have magnified—a globalized supply chain, increasingly complex chip architectures and mounting cybersecurity demands. Assessing how data collaboration occurs within the ecosystem is essential, while secure data collaboration facilitated by cutting-edge pla... » read more

Secure Handling Of Financial Data In Manufacturing


Experts at the Table: Semiconductor Engineering sat down to discuss the advantages associated with linking financial data with manufacturing data analytic platforms, real security challenges and the best uses for AI/ML methods, with Dieter Rathei, CEO of DR Yield; Jon Holt, senior director of product management at PDF Solutions, Alex Burlak, vice president of advanced analytics and test at p... » read more

The Importance Of Secure Data Sharing


When it comes to data accessibility, the terms “secure” and “share” seem like two diametrically opposed words. Conventional wisdom would suggest that any effort to secure data would involve limiting access to that data, while sharing data would involve opening up access to that data for others to view and use. As it turns out, semiconductor operations need to do both. On the one h... » read more

Secure Movement Of Data In Test


Historically, test data flowed out of the tester and was loaded into a file. But with heterogeneous integration, including chiplets and IP from multiple vendors, test data is now being streamed across the manufacturing floor where it can be used to make real-time decisions. Eli Roth, product manager for smart manufacturing at Teradyne, talks with Semiconductor Engineering about challenges in da... » read more

AI/ML Challenges In Test and Metrology


The integration of artificial intelligence and machine learning (AI/ML) into semiconductor test and metrology is redefining the landscape for chip fabrication, which will be essential at advanced nodes and in increasingly dense advanced packages. Fabs today are inundated by vast amounts of data collected across multiple manufacturing processes, and AI/ML solutions are viewed as essential for... » read more

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