Using Smart Data To Boost Semiconductor Reliability


The chip industry is looking to AI and data analytics to improve yield, operational efficiency, and reduce the overall cost of designing and manufacturing complex devices. In fact, SEMI estimates its members could capture more than $60B in revenues associated through smart data use and AI. Getting there, however, requires overcoming a number of persistent obstacles. Smart data utilization is... » read more

Integration Challenges For ATE Data


Tighter integration of automatic test equipment (ATE) into semiconductor manufacturing, so that data from one process can be seamlessly leveraged by another, holds significant promise to boost manufacturing efficiency and yield. The challenge is selling this concept to fabs, packaging houses, and their customers. Data involving yield parameters, process variations, and intricate details abou... » read more

Streamlining Failure Analysis Of Chips


Experts at the Table: Semiconductor Engineering sat down to discuss how increasing complexity in semiconductor and packaging technology is driving shifts in failure analysis methods, with Frank Chen, director of applications and product management at Bruker Nano Surfaces & Metrology; Mike McIntyre, director of product management in the Enterprise Business Unit at Onto Innovation; Kamran Hak... » read more

Data, System Reliability, and Privacy


Experts at the Table: Semiconductor Engineering sat down to discuss changes in test that address tracing device quality throughout a product’s lifetime, and over-arching concerns about data ownership and privacy, with Tom Katsioulas, CEO at Archon Design Solutions and U.S. Department of Commerce IoT advisory board member; Ming Zhang, vice president of R&D Acceleration at PDF Solutions; a... » read more

Fab And Field Data Transforming Manufacturing Processes


The ability to capture, process, and analyze data in the field is transforming semiconductor metrology and testing, providing invaluable insight into a product's performance in real-time and under real-world conditions and use cases. Historically, data that encapsulates parameters such as power consumption, temperature, voltages, currents, timing, and other characteristics, was confined to d... » read more

Customizing IC Test To Improve Yield And Reliability


Testing the performance and power of semiconductors as they come off the production line is beginning to shift left in the fab, reversing a long-standing trend of assessing chips just prior to shipping. While this may sound straightforward, it's a difficult challenge which, if successful, will have broad implications for the entire design-through-manufacturing flow. Manufacturers typically g... » read more

Improving Reliability In Chips


Semiconductor Engineering sat down to discuss changes in test that address tracing device quality throughout a product’s lifetime with Tom Katsioulas, CEO at Archon Design Solutions and U.S. Department of Commerce IoT advisory board member; Ming Zhang, vice president of R&D Acceleration at PDF Solutions; and Uzi Baruch, chief strategy officer at proteanTecs. What follows are excerpts of t... » read more

Navigating the Metrology Maze For GAA FETs


The chip industry is pushing the boundaries of innovation with the evolution of finFETs to gate-all-around (GAA) nanosheet transistors at the 3nm node and beyond, but it also is adding significant new metrology challenges. GAA represents a significant advancement in transistor architecture, where the gate material fully encompasses the nanosheet channel. This approach allows for the vertical... » read more

SiC Growth For EVs Is Stressing Manufacturing


The electrification of vehicles is fueling demand for silicon carbide power ICs, but it also is creating challenges in finding and identifying defects in those chips. Coinciding with this is a growing awareness about just how immature SiC technology is and how much work still needs to be done — and how quickly that has to happen. Automakers are pushing heavily into electric vehicles, and t... » read more

Using Generative AI To Connect Lab To Fab Test


Executive Insight: Thomas Benjamin, CTO at National Instruments, sat down with Semiconductor Engineering to discuss a new way of looking at test, using data as a starting point and generative AI as a bridge between different capabilities. SE: What are the big changes you're seeing and how is that affecting movement of critical data from the lab to the fab? Benjamin: If you walk into any m... » read more

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