Agentic AI In Chip Manufacturing


Agentic AI — breaking AI into individual agents that can work together and collaboratively — will be the real game changer for AI in chip manufacturing. By taking humans out of the loop, these agents can be programmed using natural language to automatically solve problems and improve efficiency. Jon Herlocker, vice president and general manager of software analytics at Cohu, talks  about w... » read more

Every Atom Now Counts In Advanced Chip Manufacturing


Artificial-intelligence workloads are pushing semiconductor design to a point where traditional scaling strategies are running out of room. Performance improvements that once came from shrinking transistors now depend increasingly on how devices are stacked, interconnected, and isolated. Transistor scaling still matters, but advanced device architectures no longer can accommodate the power dens... » read more

Ripple Effects: Why Water Risk Is The Next Major Business Challenge For The Semiconductor Industry


The semiconductor industry is the bedrock of modern technology, enabling everything from AI and cloud computing to electric vehicles. Yet, this critical sector is also one of the most resource-intensive globally, with a substantial dependency on water. A single fabrication plant can demand up to 10 million gallons of water daily, comparable to the consumption of a city with 300,000 residents.... » read more

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

Semiconductor Manufacturing In The AI Era


At the 2025 PDF Solutions Users Conference, CEO John Kibarian delivered a wide-ranging keynote that positioned the semiconductor industry at a pivotal inflection point, one driven by explosive AI demand but constrained by unprecedented manufacturing complexity. His central message: the path to a trillion-dollar semiconductor industry by 2030 requires fundamentally rethinking how manufacturers c... » read more

Annual Global IC Fabs And Facilities Report


Semiconductor companies announced a significant number of facilities in 2025 as global onshoring efforts continued across manufacturing, materials, packaging, design, and R&D. Investments came from both industry and government sources. Organizations worked together to solve current technology challenges, including soaring demand for AI chips and advanced memory, as well as complex applic... » read more

Generative AI In Chip Manufacturing


Generative AI is a natural-language or text-based query, predicting patterns based on a massive set of data. While most of the attention has been focused on chatbots and copilots, it also can be used to identify small, transient aberrations in semiconductor manufacturing that are otherwise difficult to find. Jon Herlocker, vice president and general manager of software analytics at Cohu, talks ... » 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

Using AI/ML To Find And Correlate IC Test Data


What causes low yield in wafers? Usually it's due to design or process changes, but sometimes yield issues occur even if there haven't been any changes from one manufacturing lot to the next. Finding the cause requires some sleuthing, and the best approach for pinpointing problems is to mine design, process, and manufacturing data, and to correlate that data by date and time, by which equipment... » 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

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