Thinking Differently About IIoT Analytics


Manufacturers are rushing to keep up with the latest technology trends and perhaps the most significant ones are around the smart factory. Whether you call it Industry 4.0, Smart Manufacturing or the Industrial Internet of Things (IIoT), what all these initiatives have in common is the desire to maximize value from manufacturing data and improve overall manufacturing efficiency. With the ave... » read more

Test Moving Forward And Backward


Test, once considered an important but rather mundane way of separating good chips from the not-so-good and the total rejects, is taking on a whole new life. After decades of largely living in the shadows behind design and advancements in materials and lithography, test has quietly shifted into a much more critical and more public role. But it has taken several rather significant shifts acro... » read more

Gaps Emerge In Automotive Test


Demands by automakers for zero defects over 18 years are colliding with real-world limitations of testing complex circuitry and interactions, and they are exposing a fundamental disconnect between mechanical and electronic expectations that could be very expensive to fix. This is especially apparent at leading-edge nodes, where much of the logic is being developed for AI systems and image se... » read more

Data Sharing And Digital Threads


Electronics and the components that power them are more complex and advanced than ever. With these products an integral part of our daily lives, their reliability has become nothing less than mission-critical. As the demand for components accelerates, it is important that quality is not compromised under the pressure to meet quantity requirements. Otherwise we’re going to be seeing a lot of r... » read more

Utilizing More Data To Improve Chip Design


Just about every step of the IC tool flow generates some amount of data. But certain steps generate a mind-boggling amount of data, not all of which is of equal value. The challenge is figuring out what's important for which parts of the design flow. That determines what to extract and loop back to engineers, and when that needs to be done in order to improve the reliability of increasingly com... » read more

The 3 Main Obstacles To Zero DPPM And How To Overcome Them


As we all well know, there are multiple mission critical applications in today’s “Age of Smart” that are calling for zero DPPM (defective parts per million) in semiconductors and electronic systems. In industries such as automotive, medical, aerospace, and more, where lives are at stake, defective parts are not an option. The quality imperative However, with the ever-growing complexi... » read more

Predictive Maintenance In Tomorrow’s Industries


By Olaf Enge-Rosenblatt and Steven Brandt Tomorrow’s production plants must be efficient and adaptive, which is the key to survival in modern, highly competitive markets brought about by digitalization and automation. Future-oriented companies are increasingly focusing on a tight combination of automation and computer technology as promised by the Industry 4.0 paradigm. More and more globa... » read more

Tech Talk: Applying Machine Learning


Norman Chang, chief technologist at ANSYS, talks about real applications of machine learning for mechanical, fluid dynamics and chip-package-system design. https://youtu.be/MqYX0wbwSfE » read more

The Rising Value Of Data


The volume of data being generated by a spectrum of devices continues to skyrocket. Now the question is what can be done with that data. By Cisco's estimates, traffic on the Internet will be 3.3 zetabytes per year by 2021, up from 1.2 zetabytes in 2016. And if that isn't enough, the flow of data isn't consistent. Traffic on the busiest 60-minute period in a day increased 51% in 2016, compare... » read more

Listening To The Voice Of Your Product


Much has been said and written about the business values of the Industrial Internet of Things (IIoT). Through connecting the manufacturing elements (machines) on the factory floor, and collecting and analyzing their data, manufacturers can significantly improve the efficiency and profitability of their operations through intelligent predictive maintenance of equipment and optimal equipment ut... » read more

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