AI Chips: NoC Interconnect IP Solves Three Design Challenges


New network-on-chip (NoC) interconnect IP is now available for artificial intelligence (AI) systems-on-chip (SoC). Arteris IP launched the fourth generation of the FlexNoC interconnect IP with a new optional AI package. The novel NoC interconnect technologies solves many data flow problems in today’s AI designs. Innovative features address the requirements of the next-generation of AI chips t... » read more

Edge Inferencing Challenges


Geoff Tate, CEO of Flex Logix, talks about balancing different variables to improve performance and reduce power at the lowest cost possible in order to do inferencing in edge devices. https://youtu.be/1BTxwew--5U » read more

Chip Industry In Rapid Transition


Wally Rhines, CEO Emeritus at Mentor, a Siemens Business, sat down with Semiconductor Engineering to talk about global economics, AI, the growing emphasis on customization, and the impact of security and higher abstraction levels. What follows are excerpts of that conversation. SE: Where do you see the biggest changes happening across the chip industry? Rhines: 2018 was a hot year for fab... » read more

Lies, Damn Lies, And TOPS/Watt


There are almost a dozen vendors promoting inferencing IP, but none of them gives even a ResNet-50 benchmark. The only information they state typically is TOPS (Tera-Operations/Second) and TOPS/Watt. These two indicators of performance and power efficiency are almost useless by themselves. So what, exactly, does X TOPS really tell you about performance for your application? When a vendor ... » read more

Week in Review: IoT, Security, Auto


Internet of Things The drone episode last month at Gatwick Airport in the United Kingdom forced the cancellation or diversion of more than 1,000 flights over three days. While local police arrested a couple suspected of being behind the drone flights, they were quickly exonerated and released. Questions remain on how airports should respond to such episodes, which are bound to happen again and... » read more

FD-SOI At The Edge


Semiconductor Engineering sat down to discuss changes in the FD-SOI world and what's behind them, with James Lamb, deputy CTO for advanced semiconductor manufacturing and corporate technical fellow at Brewer Science; Giorgio Cesana, director of technical marketing at STMicroelectronics; Olivier Vatel, senior vice president and CTO at Screen Semiconductor Solutions; and Carlos Mazure, CTO at Soi... » read more

December ’18 Startup Funding: Big Rounds As 2018 Ends


During the month of December, 16 startups had private funding rounds of $100 million and up, with half of them in the mobility area. Those 16 rounds totaled $3.2 billion as the year concluded. Before the holidays, the SoftBank Vision Fund invested $500 million in Cambridge Mobile Telematics, provider of the DriveWell platform used by insurers, vehicle fleets, wireless carriers, and others to... » read more

Top Tech Talks Of 2018


2018 shaped up to be a year of transition and inflection, sometimes in the same design. There were new opportunities in automotive, continued difficulties in scaling, and an explosion in AI and machine learning everywhere. Traffic numbers on stories give a snapshot of the most current trends, but with videos those trends are even more apparent because of the time invested in watching those v... » read more

Week in Review: IoT, Security, Auto


Internet of Things Internet of Things vendors and providers of network services need to collaborate to fully realize the possibilities presented by the IoT, Chris Martin of PowWowNow writes. “The potential applications for IoT sensors and devices span a vast number of industries, with IoT technologies expediting the growth of smart cities, autonomous vehicles and connected industry technolog... » read more

System Bits: Dec. 26


Adding learning to computer vision UCLA’s Samueli School of Engineering and Stanford University are working on advanced computer vision technology, using artificial intelligence to help vision systems learn to identify faces, objects and other things on their own, without training by humans. The research team breaks up images into chunks they call “viewlets,” then they have the computer ... » read more

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