The Growing Challenges Of 5G Reliability


The test field is getting more complicated as chips become larger, more heterogeneous, and subject to almost constant changes. Nowhere is this more evident than in 5G, where standards are still evolving and use cases are still being defined. Without passing test, no technology advances. But those definitions are subject to change, and they can change again over time. The communications in... » read more

Test In New Frontiers: Flexible Circuits


Test is becoming increasingly complicated as new technologies such as flexible electronics begin playing mission-critical roles in applications where electronics have little or no history. Although flexible circuitry has been around for while, testing needs to catch up as these circuits are deployed across a variety of markets where conditions may be extreme. In many cases, sensors for monit... » 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 complexity o... » read more

Reducing Costly Flaws In Heterogeneous Designs


The cost of defects is rising as chipmakers begin adding multiple chips into a package, or multiple processor cores and memories on the same die. Put simply, one bad wire can spoil an entire system. Two main issues need to be solved to reduce the number of defects. The first is identifying the actual defect, which becomes more difficult as chips grow larger and more complex, and whenever chi... » read more

Improving Quality Through Data Analytics


Doug Elder, vice president and general manager at OptimalPlus, explains how to utilize data to improve reliability, how it applies to different manufacturing processes, and what happens when that data is made available to more people within an organization. » read more

Solving 5G’s Thorniest Issues


5G rollouts are beginning to hit the market, accompanied by a long list of unsolved technical and business issues surrounding this next-generation wireless technology. But progress is being made on some of the key challenges facing this technology, even though not all of those solutions will be in place at launch. The real challenges are with millimeter-wave implementations of 5G, which oper... » read more

Manufacturing ADAS Cameras Calls For Analytics


Automotive camera design and manufacturing is one of the most difficult undertakings in hardware. Not only do you need to deal with the usual difficulties of high performance mechanical and electrical designs, but now highly specialized and sensitive optics are added into the equation. Complicating factors is that you won’t know how good the product is until it’s been completely assembled, ... » read more

Smart Manufacturing Solutions: Build or Buy?


Enterprise smart manufacturing platforms have become an important part of the manufacturing ecosystem, especially in domains such as semiconductors and electronics. McKinsey & Company estimates, for example, that the quantity of process, product, and machine data collected on a daily basis in a typical fab quickly exceeds terabytes. If you add to this in-line and end-of-line inspection as w... » read more

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

Data Confusion At The Edge


Disparities in pre-processing of data at the edge, coupled with a total lack of standardization, are raising questions about how that data will be prioritized and managed in AI and machine learning systems. Initially, the idea was that 5G would connect edge data to the cloud, where massive server farms would infer patterns from that data and send it back to the edge devices. But there is far... » read more

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