tag: edge computing

New Architectural Issues Facing Auto Ecosystem
By Ann Mutschler - 05 Mar, 2020 - Comments: 0

As chips bound for the automotive world move to small process nodes, including 5nm and below, the automotive ecosystem is wrestling with both scaling issues and challenges related to architecting safety-critical systems using fewer chips. This may sound counterintuitive, because one of the main reasons automotive chip providers are moving to smaller nodes is to reduce the number of chips in ... » read more

The Challenges Of Building Inferencing Chips
By Ann Mutschler - 27 Feb, 2020 - Comments: 0

Putting a trained algorithm to work in the field is creating a frenzy of activity across the chip world, spurring designs that range from purpose-built specialty processors and accelerators to more generalized extensions of existing and silicon-proven technologies. What's clear so far is that no single chip architecture has been deemed the go-to solution for inferencing. Machine learning is ... » read more

Week In Review: Auto, Security, Pervasive Computing
By SE Staff - 14 Feb, 2020 - Comments: 0

AI/Edge Arm putting AI (artificial intelligence) and machine learning (ML) on the Cortex-M processor by offering IP for a microNPU for Cortex-M. The company says in a press release that it will deliver a 480x uplift in ML performance. The new Cortex-M IP is Arm Ethos-U55 NPU, which Arm says is the industry’s first microNPU (neural processing unit). Arm is hoping the new IP will start an expl... » read more

How AI In Edge Computing Drives 5G And The IoT
By Ron Lowman - 13 Feb, 2020 - Comments: 0

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
By Mark LaPedus - 27 Jan, 2020 - Comments: 3

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
By SE Staff - 24 Jan, 2020 - Comments: 0

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
By Ed Sperling - 16 Jan, 2020 - Comments: 0

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
By Ann Mutschler - 16 Jan, 2020 - Comments: 0

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
By Ed Sperling - 09 Jan, 2020 - Comments: 0

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
By Mentor, a Siemens Business - 12 Dec, 2019 - Comments: 0

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

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