How To Manage DFT For AI Chips


Semiconductor companies are racing to develop AI-specific chips to meet the rapidly growing compute requirements for artificial intelligence (AI) systems. AI chips from companies like Graphcore and Mythic are ASICs based on the novel, massively parallel architectures that maximize data processing capabilities for AI workloads. Others, like Intel, Nvidia, and AMD, are optimizing existing archite... » read more

How Do I Know? A Machine Told Me So


More than 375 years ago, René Descartes wrote “I think, therefore I am.” And “Think” has been a slogan used by no less a technology giant than IBM for more than a century. The thought process has been a defining aspect of humanity since our beginning. But now technologists are working to imbue that capability into machines through artificial intelligence. Programming computers is no... » read more

Chips That See


An opto-based microchip implemented in standard CMOS technology has made it possible to develop a new type of on-chip functionality which combines normal ASIC technology with optical filters on the chip diode. The chip emulates the human eye and the way it detects light can be used for industrial purposes to create artificial intelligence for functions such as 3D motion control, eye protection ... » read more

MIMO And Phased-Array Antennas For 5G


Evolving communication systems are driving developments in the RF/microwave industry. The large umbrella of 5G focuses on supporting three main technologies: enhanced mobile broadband, which is the natural development of long-term evolution (LTE), massive machine-type communications, also known as the industrial internet of things (IIoT), and ultra-reliable, low-latency communications providing... » 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

Blockchain Technology Is Coming To An Application Near You


Throughout the history of the semiconductor industry, disruptive IC technologies have been brainstormed and developed by innovative thinkers, offered up for global consideration through technical papers and conferences, discussed and scrutinized, put to the test at alpha and beta sites, and – once proven – adopted for widespread use. The path is similar for inventive applications. Blockc... » read more

Anticipating And Addressing 5G Testing Challenges


It’s no surprise that each new generation of ICs raises new sets of challenges in device testing. Changes in pin counts, data-transfer rates and interface protocols present different requirements. With the coming fifth generation (5G) of semiconductor technology, producers of automatic test equipment (ATE) must develop new test solutions with advanced capabilities on several fronts. Perhap... » read more

Using Data Analytics More Effectively


The semiconductor industry is under a lot of pressure from their customers nowadays. They’re expected to keep up with consumer expectations for shorter electronic product life cycles, without compromising on the reliability and quality of the components and products coming off the line. A recent article from McKinsey & Company, however, describes how quality procedures have become a bottl... » read more

Antenna Array Design for ADAS


By Milton Lien and David Vye By implementing radar technology over the 76 to 81 GHz spectrum, advanced driver-assist systems (ADAS) enable smart vehicles with the ability to alert and assist drivers in a variety of functions, from low tire-pressure warning to collision avoidance to self-parking. These automotive radar applications use the millimeter-wave (mmWave) spectrum to exploit more ban... » read more

What AI Is… And Isn’t


AI is very good at some things. It may never be good at others. The challenge is figuring out where it can help the most, and then making the cost calculation for how it can be applied. Cost sounds like it should be fairly straightforward, but it isn't. For instance, what is the cost of continuing to doing something the same way if you aren't making necessary changes? Delaying those changes ... » read more

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