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Blog Posts

Enabling On-device Learning at Scale

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

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?

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

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

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

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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Modeling for the Edge: How Neural Network Modelers Should Evaluate Edge Compute Power

This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. Academic machine learning requires extensive toolsets for model training and evaluation, but the vast majority of academic work is more grounded in model capacity than looking at the energy cost of deploying those models. This puts modelers

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Computer Vision in Manufacturing: The Definitive Guide to Measuring The Success of a Pilot

This blog post was originally published at Retrocausal’s website. It is reprinted here with the permission of Retrocausal. 2020 was a pivotal year for everyone, and the manufacturing industry is no exception. The retirement of experienced workers, increase in temporary workforce, continuously changing processes and higher mix assembly driven by economic factors and customer demand

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Award-Winning Processors Drive Greater Intelligence and Safety into Autonomous Automotive Systems

This blog post was originally published at Synopsys’ website. It is reprinted here with the permission of Synopsys. From safety features like collision avoidance to the self-driving cars that are being tested on highways and city streets, artificial intelligence (AI) technologies play an integral role in modern vehicles. Sophisticated sensors and deep-learning algorithms like neural

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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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