Pivoting Toward Safety-Critical Verification In Cars


The inclusion of AI chips in automotive and increasingly in avionics has put a spotlight on advanced-node designs that can meet all of the ASIL-D requirements for temperature and stress. How should designers approach this task, particularly when these devices need to last longer than the applications? Semiconductor Engineering sat down to discuss these issues with Kurt Shuler, vice president of... » read more

Inference Moves To The Network


Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future inference capabilities will reside not only at the extremes of the data center and a data-gathering device, but at multiple points in between. “Inference isn't a function that has to resid... » read more

Who Owns A Car’s Chip Architecture


Kurt Shuler, vice president of marketing at Arteris IP, examines the competitive battle brewing between OEMs and Tier 1s over who owns the architecture of the electronic systems and the underlying chip hardware. This has become a growing point of contention as both struggle for differentiation in a market where increasingly autonomous vehicles will all behave the same way. That, in turn, has si... » read more

CodaCache: Helping to Break the Memory Wall


As artificial intelligence (AI) and autonomous vehicle systems have grown in complexity, system performance needs have begun to conflict with latency and power consumption requirements. This dilemma is forcing semiconductor engineers to re-architect their system-on-chip (SoC) designs to provide more scalable levels of performance, flexibility, efficiency, and integration. From the edge to data ... » read more

Changes In AI SoCs


Kurt Shuler, vice president of marketing at ArterisIP, talks about the tradeoffs in AI SoCs, which range from power and performance to flexibility, depending on whether processing elements are highly specific or more general, and the need for more modeling of both hardware and software together. » read more

Auto Industry Shifts Gears On Where Data Gets Processed


In-vehicle processing is becoming a major challenge in automotive electronics due to the massive amount of data being generated by sensors — especially cameras — and the rapid response time required to avoid accidents. The initial idea that all data could be sent to the cloud for processing has been shelved, most likely permanently. In its place is a growing recognition that data needs t... » read more

CEO Outlook: 2020 Vision


The start of 2020 is looking very different than the start of 2019. Markets that looked hazy at the start of 2019, such as 5G, are suddenly very much in focus. The glut of memory chips that dragged down the overall chip industry in 2019 has subsided. And a finely tuned supply chain that took decades to develop is splintering. A survey of CEOs from across the industry points to several common... » 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

CXL Vs. CCIX


Kurt Shuler, vice president of marketing at ArterisIP, explains how these two standards differ, which one works best where, and what each was designed for. » read more

Planning For Failures In Automotive


The automotive industry is undergoing some fundamental shifts as it backs away from the traditional siloed approach to one of graceful failure, slowing the evolution to fully autonomy and rethinking how to achieve its goals for a reasonable cost. For traditional automakers, this means borrowing some proven strategies from the electronics world rather than trying to evolve traditional automot... » read more

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