Making Adaptive Test Work Better


One of the big challenges for IC test is making sense of mountains of data, a direct result of more features being packed onto a single die, or multiple chiplets being assembled into an advanced package. Collecting all that data through various agents and building models on the tester no longer makes sense for a couple reasons — there is too much data, and there are multiple customers using t... » read more

Using Predictive Maintenance To Boost IC Manufacturing Efficiency


Predicting exactly how and when a process tool is going to fail is a complex task, but it's getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics. The potential benefits of predictive maintenance are enormous. Higher tool uptime correlates with greater fab efficiency and lower operating costs, so engineers are pursuing multiple routes to boo... » read more

IC Test And Quality Requirements Drive New Collaboration


Rapidly increasing chip and package complexity, coupled with an incessant demand for more reliability, has triggered a frenzy of alliances and working relationships that are starting to redefine how chips are tested and monitored. At the core of this shift is a growing recognition that no company can do everything, and that to work together will require much tighter integration of flows, met... » read more

Progress In Wafer And Package Level Defect Inspection


The technology to enable sampling and the need for more metrology and inspection data in a production setting have aligned just in time to address the semiconductor industry’s newest and most complex manufacturing processes. In both wafer and assembly manufacturing, engineering teams have long relied on imaging tools to measure critical features and to inspect for defects after specific pr... » read more

New Strategies For Interpreting Data Variability


Every measurement counts at the nanoscopic scale of modern semiconductor processes, but with each new process node the number of measurements and the need for accuracy escalate dramatically. Petabytes of new data are being generated and used in every aspect of the manufacturing process for informed decision-making, process optimization, and the continuous pursuit of quality and yield. Most f... » read more

Cost And Quality Of Chiplets


Chiplets add a whole new challenge for the semiconductor industry. How much testing is enough? How do you optimize system binning? What’s the right amount of burn-in? The answers to these questions will vary, depending upon cost and quality tradeoffs, the number and source of the chiplets, and real-world workloads and projected lifespans. Marc Jacobs, senior director of solutions architectur... » 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

Strategies For Detecting Sources Of Silent Data Corruption


Engineering teams are wrestling with how to identify the root causes of silent data corruption (SDC) in a timely and cost-effective way, but the solutions are turning out to be broader and more complex than simply fixing a single defect. This is particularly vexing for data center reliability, accessibility and serviceability (RAS) engineering teams, because even the best tools and methodolo... » read more

Adaptive Test Ramps For Data Intelligence Era


Widely available and nearly unlimited compute resources, coupled with the availability of sophisticated algorithms, are opening the door to adaptive testing. But the speed at which this testing approach is adopted will continue to vary due to persistent concerns about data sharing and the potential for IP theft and data leakage. Adaptive testing is all about making timely changes to a test p... » 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

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