Blog Posts

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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Building an Open Standard Heterogeneous Software Platform on oneAPI

This blog post was originally published at Codeplay Software’s website. It is reprinted here with the permission of Codeplay Software. Invitation for experts to collaborate within a new community forum for accelerated computing Today we are excited to join a new Community Forum for Accelerated Computing that will build on the work done to define

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oneAPI Expands to a Community Forum for Open Accelerated Computing

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Efforts will advance the oneAPI specification and open source projects to multiple architectures and vendors Since its launch in November 2019, oneAPI for open accelerated computing has made great strides; I’ve seen the specification grow into new

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Arm Supports FP8: A New 8-bit Floating-point Interchange Format for Neural Network Processing

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Enabling secure and ubiquitous Artificial Intelligence (AI) is a key priority for the Arm architecture. The potential for AI and machine learning (ML) is clear, with new use cases and benefits emerging almost daily – but alongside

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What is LiDAR Technology, and How Does LiDAR Help in Depth Measurement?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. LiDAR is one of the most popular technologies used for depth measurement the offers excellent range and accuracy. Go deep into how LiDAR cameras work and the key markets in which they have gained momentum.

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Synaptics and Visidon Collaboration Brings Complete AI-Enabled Smart Screen Technology Solutions to Consumer Applications

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. Put simply, a smart screen is a battery-powered, touch-screen device that connects, shares, and interacts with other devices. It is also known as a wireless monitor and is used for activities that require little or no keyboard

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Always-On Voice Makes Content Control Seamless and Intuitive

This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. Remote controls have tended to be practical, utilitarian devices with a well-deserved reputation for being the hardest to find when needed most. It doesn’t have to be this way in an era when users are using voice

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Exploring AIMET’s Post-Training Quantization Methods

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Usually, when you’re presented with three options, such as powerful, efficient, and low cost, you’re also faced with the conundrum where you’re only allowed to pick one or two. Machine learning (ML) practitioners developing neural networks for

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