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Accelerating Innovation in Low Power AI Applications with Lattice FPGAs

Blog Posts, Lattice Semiconductor, Processors, Tools / August 12, 2022

This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. On-device AI inference capability is expected to reach 60% of all devices by 2024, according to ABI Research. This underscores the rapid speed of AI innovation to take place in the last few years that …

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Measuring NPU Performance

Blog Posts, Expedera, Processors / August 12, 2022

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. There is a lot more to understanding the capabilities of an AI engine than TOPS per watt. A rather arbitrary measure of the number of operations of an engine per unit of power, this metric completely misses …

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What is a UVC Camera, and What are the Different Types of UVC Cameras?

Blog Posts, e-con Systems, Industrial Vision (Computer Vision), Sensors / August 5, 2022

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. AMRs (Autonomous Mobile Robots), smart signages, barcode scanning devices, surveillance systems, industrial handhelds, etc., are changing how businesses operate and connect with people. And embedded vision cameras play a vital role in enabling these devices …

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Implementing Edge AI: Look Before You Leap

Blog Posts, MegaChips / July 25, 2022

This blog post was originally published at Embedded.com on behalf of MegaChips. It is reprinted here with the permission of Embedded.com and MegaChips. As the need for artificial intelligence grows more common and technology needs become more sophisticated, companies looking to adopt edge AI into their products often find it to be a difficult challenge. …

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Enabling On-device Learning at Scale

Algorithms, Blog Posts, Qualcomm, Software, Tools / July 21, 2022

On-device intelligence provides important benefits. This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our latest AI research to personalize and adapt models while keeping data private One size doesn’t fit all. The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are …

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Detecting Safety Helmets in Real-time

Algorithms, Blog Posts, Processors, Software, Tools, Tryolabs / July 18, 2022

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. At Tryolabs, we are passionate about building computer vision solutions that have real-world impact. Very often, this means integrating them to run on edge devices. In our journey to master AI on the edge, we have developed …

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What is Multipath Interference, and How Can You Minimize It In Time-of-flight Cameras?

Blog Posts, e-con Systems, Sensors / July 15, 2022

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Time-of-Flight (ToF) cameras are powerful embedded vision solutions that provide real-time depth measurement – predominantly for applications that require autonomous and guided navigation. As you may know, ToF sensors use the light illumination technique where …

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How Neural Architectures Leverage Duty Cycling for Massive Efficiencies

Blog Posts, Processors, Syntiant / July 11, 2022

This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. In our last blog post, we gave insight for modelers into the vital performance statistics of edge silicon. In this blog post, we will show how modelers can leverage the true power and throughput performance of edge …

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Neural Network Optimization with AIMET

Algorithms, Blog Posts, Processors, Qualcomm, Software, Tools / July 5, 2022

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. To run neural networks efficiently at the edge on mobile, IoT, and other embedded devices, developers strive to optimize their machine learning (ML) models’ size and complexity while taking advantage of hardware acceleration for inference. For these …

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The LEC-2290: An Edge AI Appliance for Traffic Infraction Prevention

Automotive, Blog Posts, Lanner Electronics, Processors, Sensors / June 29, 2022

This blog post was originally published at Lanner Electronics’ website. It is reprinted here with the permission of Lanner Electronics. In dense urban environments where traffic flow is heavy, keeping up with traffic control and maintaining road safety at intersections with the heaviest traffic is often tricky as vehicles and pedestrians’ behaviors are erratic and …

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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