Environmental Impact of Semiconductor Manufacturing (ORNL)


A  technical paper titled "Cleaner Chips: Decarbonization in Semiconductor Manufacturing" was published by researchers at Oak Ridge National Laboratory (ORNL) / UT-Battelle. Abstract: "The growth of the information and communication technology sector has vastly accelerated in recent decades because of advancements in digitalization and Artificial Intelligence (AI). Scope 1, 2, and 3 gree... » 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

Integrating Digital Twins In Semiconductor Operations


By Mark da Silva, Nishita Rao and Karim Somani Chipmakers must adopt transformative technologies including Digital Twins (DT) to keep pace with unprecedented global semiconductor industry growth that is expected to drive its total market value to $1 trillion[1] as soon as 2030. Leveraging predictive modeling and other efficiency-enhancing innovations, DTs promise to optimize semiconductor d... » read more

Tackling Variability With AI-based Process Control


Jon Herlocker, co-founder and CEO of Tignis, sat down with Semiconductor Engineering to talk about how AI in advanced process control reduces equipment variability and corrects for process drift. What follows are excerpts of that conversation. SE: How is AI being used in semiconductor manufacturing and what will the impact be? Herlocker: AI is going to create a completely different factor... » read more

Chip Industry Week In Review


By Susan Rambo, Karen Heyman, and Liz Allan. Renesas plans to acquire Altium, maker of PCB design software, for $5.9 billion. In a conference call, Renesas CEO Hidetoshi Shibata cited Altium's PCB design software and digital twin virtual modeling as key components of its future strategy. "I believe it will generate transformational value for our combined customers and our stakeholders," Shib... » read more

ML-Assisted IC Test Binning With Real-Time Prediction At The Edge


IC Test is a critical part of semiconductor manufacturing and proper die binning and material disposition has an important impact on the overall yield and on the process monitoring and failure mode diagnostics. Edge analytics are becoming an increasingly important aspect of die disposition. By intercepting parts in real-time at the wafer test step, we can save downstream processing needs. In th... » read more

AI-Driven Innovation For Manufacturing Automation


By Calvin Shiao, AshtonWS Huang, and Alfos Hsu Artificial intelligence (AI) is changing the world and improving our lives in many ways. The semiconductor industry is a key part of the AI revolution, as it provides powerful computing chips for AI applications and leverages AI to optimize business operations and management, customer service, office workflows, as well as the intricate realms of... » read more

Semiconductors Accelerate The Artificial Intelligence Revolution


By Ajit Manocha, Pushkar Apte, and Melissa Grupen-Shemansky Five years ago, SEMI published an article predicting that Artificial Intelligence (AI) would change everything – and it has! AI has moved out of labs and taken popular imagination by storm. It is now a hot topic of discussion everywhere, from family dining tables and corporate boardrooms to corridors of government. While it m... » read more

Using Deep Data For Improved Reliability Testing


Reliability testing always has been a challenge for semiconductor companies, but it’s becoming much more difficult as devices continue to shrink, as they’re integrated together in advanced packages, and as they’re utilized under different conditions with life expectancy that varies by application and use case. Nir Sever, senior director of business development at proteanTecs, and Luca Mor... » read more

Fabs Begin Ramping Up Machine Learning


Fabs are beginning to deploy machine learning models to drill deep into complex processes, leveraging both vast compute power and significant advances in ML. All of this is necessary as dimensions shrink and complexity increases with new materials and structures, processes, and packaging options, and as demand for reliability increases. Building robust models requires training the algorithms... » read more

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