Open Source Hardware Risks


Open-source hardware is gaining attention on a variety of fronts, from chiplets and the underlying infrastructure to the ecosystems required to support open-source and hybrid open-source and proprietary designs. Open-source development is hardly a new topic. It has proven to be a successful strategy in the Linux world, but far less so on the hardware side. That is beginning to change, fueled... » read more

Blog Review: Jan. 8


Synopsys' Taylor Armerding digs into the privacy and security concerns surrounding connected toys and argues that the current practice of consumers bearing much of the burden to determine what is safe is not viable. In a podcast, Mentor's John McMillan looks back at the past decade in technology and what the next may hold in store as areas like AI and automotive get going. Cadence's Madha... » read more

EDA, IP Growth Surge


EDA and IP grew 8.9% in Q3 of 2019, according to a just-released report, indicating continued confidence in semiconductor growth. Total revenue was up 8.9% globally compared with the same period in 2018, but that number is deceptively low. Revenue in China, for example, increased 5.7% compared to the same quarter in 2018, despite trade restrictions on sales of any IP developed in the United ... » 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

Week In Review: Design, Low Power


Apple and Imagination inked a new multi-year license agreement under which Apple has access to a wider range of Imagination’s intellectual property in exchange for license fees. In 2017, Apple had announced it would be developing its own graphics chips and phasing out use of Imagination's IP. Imagination, which had recently restructured, saw its stock price fall by half in the wake of the new... » read more

Improving Algorithms With High-Level Synthesis


Most computer algorithms today are developed in high-level languages on general-purpose computers. But someday they may be deployed in embedded systems where the development, verification, and validation of algorithms is done in languages like python, Java, C++, or even numerical frameworks like MatLab. This is the goal of high-level synthesis (HLS), and it aims to solve a fundamental proble... » read more

What Engineers Are Reading And Watching


By Brian Bailey And Ed Sperling An important indicator of where the chip industry is heading is what engineers are reading and what videos they are watching. While some subjects remain on top, such as the level of interest in the latest manufacturing technologies, other areas come and go. The stories with the biggest traffic numbers are almost identical to last year. Readers want to know wh... » read more

This Year’s Holiday Puzzle: Find The Trojan Horse


The term “Trojan horse” is widely used, but it’s likely that not everyone knows the story behind this metaphor. It refers to an ancient legend about a giant wooden horse that contained a most unpleasant surprise for its recipients. In general usage, the term refers to anything dangerous that lurks within a seemingly innocent disguise. The electronics hardware design community is increasin... » read more

Week In Review: Design, Low Power


M&A Intel acquired Habana Labs, a maker of programmable deep learning accelerators for the data center, for approximately $2 billion. Based in Israel, Habana was founded in 2016 but only emerged from stealth in September 2018 with the release of its first inference chip. Intel's VC arm, Intel Capital, previously invested in the startup. Intel has made numerous M&A moves in the AI space... » read more

What Will AI Look Like In 10 Years?


There's no such thing as reverse in AI systems. Once they are let loose, they do what they were programmed to do — optimize results within a given set of parameters. But today there is no consistency for those parameters. There are no standards by which to measure how AI deviates over time. And there is an expectation, at least today, that AI systems will adapt to whatever patterns they di... » read more

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