Machine Learning Popularity Grows


Machine learning and deep learning are showing a sharp growth trajectory in many industries. Even the semiconductor industry, which generally has resisted this technology, is starting to changing its tune. Both [getkc id="305" kc_name="machine learning"] (ML) and deep learning (DL) have been successfully used for image recognition in autonomous driving, speech recognition in natural langua... » read more

Foundries Accelerate Auto Efforts


Foundries are ramping up their efforts in automotive chip production in preparation for a surge in semiconductors used in assisted and autonomous driving. All of the major foundry vendors are scrambling to assemble the pieces and expand their process portfolios for automotive customers. The foundries are seeing a growing demand from automotive IC customers amid the push toward advanced drive... » read more

The Darker Side Of Machine Learning


Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

Blog Review: July 5


Cadence's Paul McLellan checks out the current state of System-in-Package technology and how different products incorporate SiP. Synopsys' Robert Vamosi digs into the differences between two major recent ransomware outbreaks, WanaCry and Petya. A Mentor staff writer shares some highlights from this year's DAC. ARM's Rene Haas examines what consumers think about AI and the impact it wil... » read more

Machine Learning Meets IC Design


Machine Learning (ML) is one of the hot buzzwords these days, but even though EDA deals with big-data types of issues it has not made much progress incorporating ML techniques into EDA tools. Many EDA problems and solutions are statistical in nature, which would suggest a natural fit. So why is it so slow to adopt machine learning technology, while other technology areas such as vision recog... » read more

Monday At DAC


The 54th DAC got started today in a very steamy Austin. While we may be a maturing industry, there is certainly no indications that the people within the industry have given up or intend to take it easy. The event really got started late Sunday when Laurie Balch, chief analyst for Gary Smith EDA, delivered her message. She said that the focus is becoming the verticals. "This change in focus is ... » read more

Blog Review: June 14


In a video, Cadence's Tom Hackett looks at the evolving von Neumann computer architecture and the development of CCIX driven by recent cloud computing challenges. Mentor's Puneet Sinha notes it's been 17 years since the Toyota Prius went on sale worldwide, and looks ahead to the next 17 years of electric vehicles. Synopsys' Sri Deepti Pisipati gives an overview of the different topologies... » read more

The LiDAR Gold Rush


Big money is pouring into the LiDAR market, as carmakers gear up for autonomous and assisted driving. LiDAR, along with advanced computer vision and radar sensors, is an essential component for vehicles to maneuver without hitting obstacles or other cars. LiDAR is an acronym for light imaging, detection, and ranging, and until now it has been almost synonymous with next-generation automotive... » read more

The Week In Review: Manufacturing


Market research Earlier this year, the IC and equipment markets were projected to be flat. More recently, though, analysts have raised their forecast, including Pacific Crest Securities. “We are raising our 2017 capex outlook meaningfully, with the upside coming predominantly from Samsung,” said Weston Twigg, an analyst with Pacific Crest Securities, in a report. "We're raising our 2017 se... » read more

Blog Review: June 7


Cadence's Paul McLellan listens in on Jeff Bier's Embedded Vision Summit keynote, where he argues the cost and power consumption of vision computing will decrease by about 1000X in the next three years. Synopsys' Sean Safarpour points to three reasons formal has grown in the last ten years to become a standard part of the verification toolbox. Mentor's Matthew Balance checks out the abili... » read more

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