Brian Dipert

Harnessing the Power of LLM Models on Arm CPUs for Edge Devices

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In recent years, the field of machine learning has witnessed significant advancements, particularly with the development of Large Language Models (LLMs) and image generation models. Traditionally, these models have relied on powerful cloud-based infrastructures to deliver impressive […]

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January 23, 2025 Edge AI and Vision Alliance Member Briefing Presentation

The PDF file linked to below is the presentation from the January 23, 2025 Edge AI and Vision Alliance Member Briefing sessions. Please be aware that these materials are for Alliance Member company internal use only. January 23, 2025 Edge AI and Vision Alliance Member Briefing A recording of the… January 23, 2025 Edge AI

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AI On the Road: Why AI-powered Cars are the Future

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AI transforms your driving experience in unexpected ways as showcased by Qualcomm Technologies collaborations As automotive technology rapidly advances, consumers are looking for vehicles that deliver AI-enhanced experiences through conversational voice assistants and sophisticated user interfaces. Automotive

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CPUs, GPUs, and AI: Exploring High-performance Computing Hardware

IDTechEx‘s latest report, “Hardware for HPC and AI 2025-2035: Technologies, Markets, Forecasts“, provides data to show that the use of graphics processing units (GPUs) within high performance computing (HPC) has been increasingly adopted since the introduction of generative AI and large language models, as well as advanced memory, storage, networking, and cooling technologies. Drivers for

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How Global Megatrends are Impacting the Wearable Sensor Market

Wearable sensing conjures up the idea of different products for different people. Sometimes, it is easy to become so focused on a specific type of wearable innovation that appreciating where it fits within the wider landscape of global technology meta-trends and sensor market shifts is neglected. Drawing on research from the IDTechEx report, “Wearable Sensors

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The Role of Golf Swing Analysis Cameras in Golf Simulator Systems

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Golf simulator and golf swing analysis cameras are designed for detailed and immersive analysis of the golf game. These cameras are used to track the ball’s motion, trajectory, spin rate, and speed after impact to

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Visual Intelligence at the Edge

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Optimizing AI-based video telematics deployments on constrained SoCs platforms The demand for advanced video telematics systems is growing rapidly as companies seek to enhance road safety, improve operational efficiency, and manage liability costs with AI-powered

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NVIDIA JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX Modules

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an unprecedented generative AI performance boost of up to 1.7x

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The Automotive Radar Market: Three Key Takeaways

Front mounted short-range side radars enabling junction pedestrian automatic emergency braking will be a key source of automotive radar market growth. The automotive industry has been using radar for two and a half decades. During that time, it has transformed from enabling luxury features on the most expensive cars, to being used ubiquitously for basic

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Improving Vision Model Performance Using Roboflow and Tenyks

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. When improving an object detection model, many engineers focus solely on tweaking the model architecture and hyperparameters. However, the root cause of mediocre performance often lies in the data itself. ‍In this collaborative post between Roboflow 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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