Blog Posts

ST Joins MLCommons: Why One Benchmark Can Help Teams Adopt Machine Learning At the Edge

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. Today, ST is officially becoming a member of MLCommons™, the consortium responsible for benchmarks quantifying machine learning performance in mobile platforms, data centers, and embedded systems, among others. The initiative enables engineers and decision-makers to grasp where […]

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Sensors, Sensors Everywhere. Now What Do I Do?

This blog post was originally published at CEVA’s website. It is reprinted here with the permission of CEVA. Mobile computing has driven an explosion in product opportunities – smartphones, wearables, hearables, sports cameras, and more. Sensing will further extend opportunities in applications which must be environment-aware. Now it’s commonplace to think about object recognition and

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Exploring AIMET’s Quantization-aware Training Functionality

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. In Exploring AIMET’s Post-Training Quantization Methods, we discussed Cross-layer Equalization (CLE), Bias Correction, and AdaRound in AIMET. Using these methods, the weights and activations of neural network models can be reduced to lower bit-width representations, thus reducing

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What is Low Latency Camera Streaming?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Low latency streaming ensures there are only negligible lags while capturing high-quality, real-time images. Discover four important factors that affect low latency streaming and the use cases where it can make a huge difference. In

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SoyNet, a Fast and Affordable Solution for Inference Optimization

This blog post was originally published by SOYNET. It is reprinted here with the permission of SOYNET. To deliver the best end-user experience for your consumers, lower the cost of AI installations, and increase ROI for your AI initiatives, AI inference performance at scale is crucial. Currently, businesses face many problems in implementing AI in

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Object Detection on the Edge: Making the Right Choice

This blog post was originally published at Hailo’s website. It is reprinted here with the permission of Hailo. When choosing an object detection network for edge devices, there are many factors you should consider: compute power, memory resources, and many more. Which ones? This blog post outlines everything you need to know when choosing an

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Everything Announced at Imagine 2022

This blog post was originally published at Edge Impulse’s website. It is reprinted here with the permission of Edge Impulse. All great events include exciting announcements, and through a full first day of incredible speaker presentations and demos, followed by two days of virtual workshops and tech talks, this year’s Imagine gathering brought bountiful news

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Plumerai’s People Detection Powers Quividi’s Audience Measurement Platform

We’re happy to report that Quividi adopted our people detection solution for its audience measurement platform. Quividi is a world leader in the domain of measuring audiences for digital displays and retail media. They have over 600 customers analyzing billions of shoppers every month, across tens of thousands of screens. Quividi’s platform measures consumer engagement

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