Optimizing Tester Memory Resources With Pooling Technology


The rapid evolution of semiconductor devices has amplified the demand for advanced automated test equipment (ATE) that can handle increasingly complex test scenarios for logic devices. ATE vector memory is becoming an increasingly valuable commodity as scan-pattern volume soars. Extrapolations based on data from the International Technology Roadmap for Semiconductors (ITRS) indicate that scan d... » read more

AI Semiconductors Require An Integrated Test Solution


The rapid proliferation of generative pre-trained transformers based on large language models (LLMs) is driving growth in the market for chips that can run the LLMs and other artificial intelligence (AI) and machine learning (ML) applications. Several types of chips hold promise for accelerating AI computing. Graphical processing units (GPUs) have proven to be capable solutions for the server/c... » read more

Early Detection Of C-RES Degradation On High-Current Power Planes


Probe-card or device contactor damage can be dramatic and catastrophic, with yield dropping drastically very quickly. What is not dramatic is the hypothesized slow probe needle or contactor degradation process that might precede catastrophic failure. Such degradation is difficult to detect in the early stages, when probe cards, die, and packages continue to yield normally. A key goal is to dete... » read more

Experiences Estimating Test Quality And Test Escape Rates


When discussing product quality in integrated circuits (ICs), two key aspects are essential: time zero defects and reliability. These concepts help distinguish between issues that appear immediately after manufacturing and those that occur over time. Understanding these distinctions is critical for ensuring that products meet the quality demands of their respective markets, particularly in h... » read more

Understanding Test Quality In Semiconductor Devices: An Overview


When it comes to semiconductor device testing, the primary goal is to ensure that each device meets functional and performance specifications. Testing also plays a crucial role in confirming that products will work as intended in real-world applications. However, defects in the manufacturing process can be a hindrance, making testing an essential step for quality assurance. Why test matters: F... » read more

A Renaissance Of Innovation


Innovation in semiconductor testing plays a critical role in the advancement of the semiconductor industry, ensuring that the chips and components that power modern technology are reliable, efficient, and capable of meeting the ever-increasing demands of various applications. As semiconductors become more complex, the methods and technologies used to test them must also evolve to maintain quali... » read more

ML Model Usage For Various Life Stages Of Semiconductor Test


By Shinji Hioki and Ken Butler From development through high volume manufacturing (HVM), semiconductor manufacturers’ pain points change based on the life stages. Each stage requires different types of applications to help with business needs. At the early stage, where the design and process are still immature, understanding the root causes of maverick material and implementing fixes is th... » read more

From Mobile Phones To Robotics: How The Industry Continues To Drive Innovation


I recently had the opportunity to host Pierre Cambou, Principal Analyst for Global Semiconductors at Yole Group, on the Advantest podcast. What struck me about our conversation was while we focused on what was going on in the mobile market, the entire talk was reflective of the cyclical nature of the semiconductor industry and how technology can drive intense cycles of innovation. As Pierre ... » read more

Leveraging AI To Efficiently Test AI Chips


In the fast-paced world of technology, where innovation and efficiency are paramount, integrating artificial intelligence (AI) and machine learning (ML) into the semiconductor testing ecosystem has become of critical importance due to ongoing challenges with accuracy and reliability. AI and ML algorithms are used to identify patterns and anomalies that might not be discovered by human testers o... » read more

Automotive Semiconductors Require Integrated Test Solution


The automotive semiconductor test market is experiencing organic growth as chipmakers produce higher volumes of devices serving an array of automotive applications. In addition, the range of applications for automotive-grade semiconductors is evolving as the technology advances. Manufacturers of automated test equipment (ATE) are adapting to ensure their systems can handle devices ranging from ... » read more

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