Manufacturing Bits: May 11


Covid-19 data mining Using machine learning and other technologies, Lawrence Berkeley National Laboratory (Berkeley Lab) has developed a data text-mining tool to help synthesize a growing amount of scientific literature on Covid-19. Each day, some 200 new journal articles are being published on the coronavirus alone, according to Berkeley Lab. Berkeley Lab’s data mining tool, which is liv... » read more

Using Machine Learning To Gain Data Insights


Today’s consumers have little appetite for networks that go down, for electronic devices that fail, and for any kind of digital service that doesn’t deliver as promised every time. Reliability is no longer a nice-to-have. It's  a key feature. The continued scaling of advanced electronics and chip manufacturing technologies, however, makes reliability harder to achieve — even as expectati... » read more

Data-Driven Verification Begins


Semiconductor Engineering sat down to discuss data-driven verification with Yoshi Watanabe, senior software architect at Cadence; Hanan Moller, systems architect at UltraSoC; Mark Conklin, principal verification engineer at Arm; and Hao Chen, senior design engineer at Intel. What follows are excerpts of that conversation, which was conducted in front of a live audience at DVCon. (L-R) Yosh... » read more

Hardware Security Threat Rising


Martin Scott, senior vice president and CTO of Rambus, sat down with Semiconductor Engineering to talk about an increasing problem with security, what's driving it, and why hardware is now part of the growing attack surface. What follows are excerpts of that conversation. SE: With Meltdown and Spectre, the stakes have changed because the focus is not on using hardware to get to software. It'... » read more

System Bits: May 29


Ultra-low-power sensors carrying genetically engineered bacteria to detect gastric bleeding In order to diagnose bleeding in the stomach or other gastrointestinal problems, MIT researchers have built an ingestible sensor equipped with genetically engineered bacteria. [caption id="attachment_24134598" align="alignleft" width="300"] MIT engineers have designed an ingestible sensor equipped with... » read more

Applying Machine Learning To Chips


The race is on to figure out how to apply analytics, data mining and machine learning across a wide swath of market segments and applications, and nowhere is this more evident than in semiconductor design and manufacturing. The key with ML/DL/AI is understanding how devices react to real events and stimuli, and how future devices can be optimized. That requires sifting through an expandi... » read more

Using Data Mining Differently


The semiconductor industry generates a tremendous quantity of data, but until very recently engineers had to sort through it on their own to spot patterns, trends and aberrations. That's beginning to change as chipmakers develop their own solutions or partner with others to effectively mine this data. Adding some structure and automation around all of this data is long overdue. Data mining h... » read more

What’s In The Package?


Putting a variety of chips or hardened IP blocks into a package rather than trying to cram them into a single chip continues to gain ground. But it's also creating its own set of issues around verifying and testing these devices. This problem is well understood inside of SoCs, where everything is integrated into a single die. And looked at from a 30,000-foot perspective, packaging is someth... » read more

IIoT Analytics


Founded in 1995, Marvell Technology Group Ltd. has operations worldwide and more than 7,000 employees. A leading fabless semiconductor company, Marvell ships over one billion chips a year. Marvell’s expertise in microprocessor architecture and digital signal processing, drives multiple platforms including high volume storage solutions, mobile and wireless, networking, consumer and green pr... » read more

A Program Manager’s Guide to Successful Integrated Circuit Verification


Accurately monitoring progress on complex integrated circuit (IC) designs has become more difficult as the designs have increased in complexity, leading to surprises from backwards-looking reporting and management processes that do not forewarn coming crises. The Cadence Metric-Driven Verification Methodology provides a more uniform and standardized method of reporting progress towards closure ... » read more

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