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Machine Learning’s Growing Divide


[getkc id="305" kc_name="Machine learning"] is one of the hottest areas of development, but most of the attention so far has focused on the cloud, algorithms and GPUs. For the semiconductor industry, the real opportunity is in optimizing and packaging solutions into usable forms, such as within the automotive industry or for battery-operated consumer or [getkc id="76" kc_name="IoT"] products. ... » read more

Predictions: Markets And Drivers


Semiconductor Engineering received a record number of predictions this year. Some of them are just wishful thinking, but many are a lot more thoughtful and project what needs to happen for various markets or products to become successful. Those far reaching predictions may not fully happen within 2018, but we give everyone the chance to note the progress made towards their predictions at the en... » read more

EDA Challenges Machine Learning


Over the past few years, [getkc id="305" kc_name="machine learning"] (ML) has evolved from an interesting new approach that allows computers to beat champions at chess and Go, into one that is touted as a panacea for almost everything. While there is clearly a lot of hype surrounding this, it appears that machine learning can produce a better outcome for many tasks in the EDA flow than even the... » read more

An Innovator’s Vision


I had the pleasure of talking with [getperson id="11764" comment="Lucio Lanza"], managing director of Lanza techVentures, when I was researching my article on design innovation earlier this month. One thing that sets successful business people apart is their ability to see patterns, to correctly identify how those patterns fit together and progress and, based on those, to know which way to evol... » read more

Is Design Innovation Slowing?


Paul Teich, principal analyst for Tirias Research, gave a provocative talk at the recent DAC conference entitled, "Is Integration Leaving Less Room for Design Innovation?" The answer isn't as simple as the question might suggest. "Integration used to be a driver for increasing the functionality of silicon," Teich said. "Increasingly, it will be used to incorporate more features of an entire ... » read more

IoT Myth Busting


The [getkc id="76" comment="Internet of Things"] (IoT) means many things to a large number of people, but one thing is clear—every discussion involving the IoT invariably includes some rather dramatic growth predictions for how many connected devices will be sold and who will be the primary beneficiaries. While that data helps spice up speeches, and typically gets people to read and quote ... » read more

When Digital, Physical Worlds Merge


Semiconductor Engineering sat down with Simon Segars, [getentity id="22186" e_name="ARM's"] CEO, and [getperson id="11764" comment="Lucio Lanza"], managing partner of Lanza techVentures, to talk about changes in the IoT, self-driving vehicles, cloud-based health monitoring, and the impact of machine learning. What follows are excerpts of this conversation. SE: Several years ago the [getkc i... » read more

Reflecting Back On 2016


Anyone can make a prediction, and sometimes the more outlandish they are the more they get noticed. But at the end of the year some people hit the mark while others may have been way off. Many people simply make projections based on the current trajectory of trends, while others look for the potential discontinuities that may lie ahead. Semiconductor Engineering examines the projections made... » read more

Getting The Jump On Analog/RF IP


When Magma Design was sold to Synopsys in 2012, then-president and COO Roy Jewell sat down with VC Lucio Lanza to figure out what to do next. As Jewell tells it, Lanza convinced him not to take another job. While it’s too early to tell if that was sage advice, it did trigger a search for a new business and a way of funding it. Jewell said that when Magma went looking for money, it raised $... » read more

Rethinking The Sensor


Sensor technology is beginning to change on a fundamental level as companies begin looking beyond a human’s five senses, on which early sensors were modeled, to what can be done with those sensors for specific applications. In some cases, [getkc id="187" kc_name="sensors"] don’t have to be as accurate as the sight, smell, touch, taste and hearing of a person. In others, they can be a... » read more

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