Machine Learning At The Edge


Moving machine learning to the edge has critical requirements on power and performance. Using off-the-shelf solutions is not practical. CPUs are too slow, GPUs/TPUs are expensive and consume too much power, and even generic machine learning accelerators can be overbuilt and are not optimal for power. In this paper, learn about creating new power/memory efficient hardware architectures to meet n... » read more

Blog Review: Dec. 11


Arm's Urmish Thakker investigates ways to make recurrent neural networks run on resource constrained devices with limited cache and compute resources by reducing the number of RNN computations, without the need to retrain the original RNN model. Mentor's Brent Klingforth digs into the challenges of designing rigid-flex PCBs and how advanced capabilities in modern tools, like awareness of sta... » read more

5 Major Shifts In Automotive


Much of the automotive industry has begun repositioning and retrenching over the past few months, pushing back the projected rollout for fully autonomous vehicles and changing direction on power sources and technology used in the next-generation of electric vehicles. Taken together, these shifts mark a significant departure for traditional automakers, which find themselves playing catch-up t... » read more

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

Gaps Emerge In Test And Analytics


Sensor and process drift, increased design complexity, and continued optimization of circuitry throughout its lifetime are driving test and analytics in new directions, requiring a series of base comparisons against which equipment and processes can be measured. In the design world this type of platform is called a digital twin, but in the test world there is no equivalent today. And as more... » read more

Squeezing Out More Test Compression


The trend in semiconductors leads to more IC test data volume, longer test times, and higher test costs. Embedded deterministic test (EDT) has continued to deliver more compression, which has been quite effective at containing test costs. For many designs, standard test compressions is enough, but ICs for use in automotive and medical devices require a higher manufacturing test quality, which t... » read more

Testing In Context Gaining Ground


Testing in context is beginning to gain wider appeal as chip complexity increases, and as ICs are deployed in more safety-critical and mission-critical applications. While design in context has been the norm for SoCs for some time, a similar approach in test has been slow going. Cell-aware testing technology was first described a decade ago, and since then its adoption has been modest. But w... » read more

Improving Test Pattern Compression With Tessent VersaPoint Test Point Technology


Mission-critical applications within markets such as transportation and medical devices require higher overall manufacturing test quality, but that often means more test patterns, data volume, and longer test times. Embedded test compression helps, but using VersaPoint test point technology results in 46X compression ration over what is possible with Tessent TestKompress alone. To read more,... » read more

Betting On Hydrogen-Powered Cars


The automotive industry is taking another look at hydrogen fuel cells, but how they ultimately fare depends on a combination of consumer demand, automaker investment and infrastructure build-out. Hydrogen fuel cell technology has been steadily advancing over the past six decades since the first practical fuel cell system was demonstrated by Cambridge engineering professor Francis Bacon. The ... » read more

Functional Safety Verification For AV SoC Designs Accelerated With Advanced Tools


Autonomous vehicles (AVs) will be the culmination of dozens of highly complex systems, incorporating state-of-the-art technologies in electronics hardware, sensors, software, and more. Conceiving and designing these systems is certain to be one of the greatest challenges for today’s engineers. The only greater challenge will be convincing a wary public that these automated systems are safer d... » read more

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