Should Processing Take Place At End Nodes?


Last week at ARM TechCon — which I found extremely interesting for the deep technical content — there was much discussion around where processing should happen in our connected world. (I’m really trying to stay away from the nebulous term, ‘IoT.’) Some believe the processing should happen at the edge nodes, while others believe it should all take place in the data center; I’ve ev... » read more

Ready For Social Robots?


After years of steady growth, innovation and sometimes disappointment, the robotics market is heating up on several fronts amid some new breakthroughs in the arena. Both the industrial and service robotics markets are hot. In addition, the consumer market is seeing a new level of interest, as the industry is invaded by the next wave of so-called personal assistant robots or social robots for... » read more

System Bits: Nov. 1


There is a lurking malice in cloud hosting services A team of researchers from the Georgia Institute of Technology, Indiana University Bloomington, and the University of California Santa Barbara has found — as part of a study of 20 major cloud hosting services — that as many as 10 percent of the repositories hosted by them had been compromised, with several hundred of the ‘buckets’ act... » read more

Embedded FPGAs Going Mainstream?


Systems on chip have been made with many processing variants ranging from general-purpose CPUs to DSPs, GPUs, and custom processors that are highly optimized for certain tasks. When none of these options provide the necessary performance or consumes too much power, custom hardware takes over. But there is one type of processing element that has rarely been used in a major SoC— the [gettech id... » read more

Seeing The Future Of Vision


Vision systems have evolved from cameras that enable robots to “see” on a factory floor to a safety-critical element of the heterogeneous systems guiding autonomous vehicles, as well as other applications that call for parallel processing technology to quickly recognize objects, people, and the surrounding environment. Automotive electronics and mobile devices currently dominate embedded... » read more

The Looming AI War


A recent spate of acquisitions and announcements in AI and machine learning is setting the stage for a colossal showdown across the tech industry. Among those vying for top spots are Samsung, Google, Apple, Microsoft and Amazon, each with a large enough revenue stream to support an M&A feeding frenzy and the sustained investments required to remain competitive. Consider the most recent a... » read more

Alexa, Can You Help Me Build A Better SoC?


Consumers have fallen love with clever products like Amazon Echo, Nest, Google maps, Waze and Zillow that somehow make life a little easier and more fun. The underlying technology that makes these apps so rich and useful is machine learning and it seems to be showing up everywhere. Maybe it’s time to ask, “Alexa, can you help me build a better SoC?” The Next Frontier in SoC Architectur... » read more

Building Chips That Can Learn


The idea that devices can learn optimal behavior rather than relying on more generalized hardware and software is driving a resurgence in artificial intelligence, machine leaning, and cognitive computing. But architecting, building and testing these kinds of systems will require broad changes that ultimately could impact the entire semiconductor ecosystem. Many of these changes are wel... » read more

Grappling With Manufacturing Data


As complexity goes up with each new process node, so does the amount of data that is generated, from initial GDSII to photomasks, manufacturing, yield and post-silicon validation. But what happens to that data, and what gets shared, remain a point of contention among companies across the semiconductor ecosystem. The problem is that to speed up the entire design through manufacturing process,... » read more

Executive Insight: Sundari Mitra


Sundari Mitra, co-founder and CEO of [getentity id="22535" e_name="NetSpeed Systems"], sat down with Semiconductor Engineering to discuss machine learning, shifting from a processor-centric to a memory-centric design, and what needs to change to make that all happen. What follows are excerpts of that conversation. SE: What is the biggest change you’re seeing? Mitra: We go through a cycl... » read more

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