How AI In Edge Computing Drives 5G And The IoT


Edge computing, which is the concept of processing and analyzing data in servers closer to the applications they serve, is growing in popularity and opening new markets for established telecom providers, semiconductor startups, and new software ecosystems. It’s brilliant how technology has come together over the last several decades to enable this new space starting with Big Data and the idea... » read more

Going On the Edge


Emmanuel Sabonnadière, chief executive of Leti, sat down with Semiconductor Engineering to talk about artificial intelligence (AI), edge computing and chip technologies. What follows are excerpts of that conversation. SE: Where is AI going in the future? Sabonnadière: I am a strong believer that edge AI will change our lives. Today’s microelectronics are organized with 80% of things i... » read more

Week In Review: IoT, Security, Autos


AI/Edge Vastai Technologies is using Arteris IP’s FlexNoC Interconnect IP and AI Package for its Artificial Intelligence Chips for artificial intelligence and computer vision systems-on-chip (SoCs). Startup Vastai Technologies was founded in December 2018, designs ASICs and software platforms for computer vision and AI applications, such as smart city, smart surveillance, smart education, ac... » read more

More Knobs, Fewer Markers


The next big thing in chip design may be really big — the price tag. In the past, when things got smaller, so did the cost per transistor. Now they are getting more expensive to design and manufacture, and the cost per transistor is going up along with the number of transistors per area of die, and in many cases even the size of the die. That's not exactly a winning economic formula, which... » read more

Priorities Shift In IC Design


The rush to the edge and new applications around AI are causing a shift in design strategies toward the highest performance per watt, rather than the highest performance or lowest power. This may sound like hair-splitting, but it has set a scramble in motion around how to process more data more quickly without just relying on faster processors and accelerators. Several factors are driving th... » read more

The Evolution Of Pervasive Computing


The computing world has gone full circle toward pervasive computing. In fact, it has done so more than once, which from the outside may look like a more rapid spin cycle than a real change of direction. Dig deeper, though, and it's apparent that some fundamental changes are at work. This genesis of pervasive computing dates back to the introduction of the PC in 1981, prior to which all corpo... » read more

Machine Learning At The Edge


Moving machine learning to the edge has critical requirements on power and performance. Using off-the-shelf solutions is not practical. CPUs are too slow, GPUs/TPUs are expensive and consume too much power, and even generic machine learning accelerators can be overbuilt and are not optimal for power. In this paper, learn about creating new power/memory efficient hardware architectures to meet n... » read more

Revving Up For Edge Computing


The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

Disaggregation Of The SoC


The rise of edge computing could do to the cloud what the PC did to the minicomputer and the mainframe. In the end, all of those co-existed (despite the fact that the minicomputer morphed into commodity servers from companies like Dell and HP). What's different this time around is that the computing done inside of those boxes is moving. It is being distributed in ways never considered feasi... » read more

Solving The Memory Bottleneck


Chipmakers are scrambling to solve the bottleneck between processor and memory, and they are turning out new designs based on different architectures at a rate no one would have anticipated even several months ago. At issue is how to boost performance in systems, particularly those at the edge, where huge amounts of data need to be processed locally or regionally. The traditional approach ha... » read more

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