How Hardware Can Bias AI Data


Clean data is essential to good results in AI and machine learning, but data can become biased and less accurate at multiple stages in its lifetime—from moment it is generated all the way through to when it is processed—and it can happen in ways that are not always obvious and often difficult to discern. Blatant data corruption produces erroneous results that are relatively easy to ident... » read more

The Hidden Potential Of Test Engineers


Design engineers are seen as the cornerstone of new projects in many semiconductor companies, working away with the team to design the next product and making sure it meets all specifications. We pay little thought to the test engineer, who works in the shadows designing algorithms, hardware and software that could pass or fail each die. The test engineer is the last line of defense between... » read more

Week In Review: Manufacturing, Test


AI chip boom or bust? The semiconductor industry is the most bullish about adopting artificial intelligence (AI), according to a new report from Accenture. Some 77% of semiconductor executives surveyed said they have adopted AI within their businesses or are piloting the technology. In addition, 63% of semiconductor executives expect that AI will have the greatest impact on their business over... » read more

More Semiconductor Data Moving To Cloud


The cloud is booming. After years of steady growth it has begun to spike, creating new options for design, test, analytics and AI, all of which have an impact on every segment of the semiconductor industry. The initial idea behind the cloud is that it would supplement processing done on premises, adding extra processing power wherever necessary, such as in the verification and debug stages o... » read more

Using Better Data To Shorten Test Time


The combination of machine learning plus more sensors embedded into IC manufacturing equipment is creating new possibilities for more targeted testing and faster throughput for fabs and OSATs. The goal is to improve quality and reduce the cost of manufacturing complex chips, where time spent in manufacturing is ballooning at the most advanced nodes. As the number of transistors on a die incr... » read more

Who Is Responsible For Part Average Testing?


With ever-increasing demands in the automotive industry, more and more semiconductor companies are interested in monitoring and improving quality and reliability. Outlier detection and more specifically Part Average Testing (PAT) is the industry standard for the automotive industry. But, who is responsible for quality? Historically, OSATs are responsible for this. In the past, once they... » read more

Practical Ways To Reduce Test Time


If someone said that paper never refused ink, they could have said the same about test programs and tests. Early on in my career as a test development engineer, I commented out all tests except the key test for the new product I was working on. This allowed me to isolate the test and fix its repeatability. The next pre-production run finished much earlier than I expected and I was impressed ... » read more

Big Shifts In Big Data


The big data market is in a state of upheaval as companies begin shifting their data strategies from "nothing" or "everything" in the cloud to a strategic mix, squeezing out middle-market players and changing what gets shared, how that data is used, and how best to secure it. This has broad implications for the whole semiconductor supply chain, because in many cases it paves the way for ... » read more

Week In Review: Manufacturing, Test


Market research IC Insights has released its forecast for chips in terms of applications. Communications is still the biggest IC market, but automotive is growing the fastest. In its first forecast of artificial intelligence (AI) edge processors, International Data Corp. (IDC) estimates that worldwide shipments of AI-optimized processors for edge systems will reach 340.1 million units in 20... » read more