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Software for Embedded Vision

The Role of 3D LiDAR Technology in ITS

This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. Intelligent Transportation Systems (ITS) are crucial for enhancing road safety and efficiency. LiDAR brings these systems to a whole new level. With the integration of advanced technologies like 3D LiDAR, ITS are undergoing a transformation, offering unprecedented

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How is AI Transforming the Semiconductor Industry?

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The semiconductor industry stands as a driving force behind technological advancements, powering the devices that have become integral to modern life. As the demand for faster, smaller and more energy-efficient chips continues to grow, the industry faces

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5 Generative AI Use Cases Impacting Our Lives

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Generative AI has unlocked the power of AI, and the potential is unlimited Since the introduction of ChatGPT in November 2022, the world has become enamored with the potential for artificial intelligence (AI). ChatGPT ushered in the

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Detecting Real-time Waste Contamination Using Edge Computing and Video Analytics

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The past few decades have witnessed a surge in rates of waste generation, closely linked to economic development and urbanization. This escalation in waste production poses substantial challenges for governments worldwide in terms of efficient processing and

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What Do Vision Transformers See?

This blog post was originally published at Embedl’s website. It is reprinted here with the permission of Embedl. CNNs have long been the workhorses of vision ever since they achieved the dramatic breakthroughs of super-human performance with AlexNet in 2012. But recently, the vision transformer (ViT) is changing the picture. CNNs have a an inductive

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Intel Announces New Edge Platform for Scaling AI Applications

The edge-native software platform simplifies development, deployment and management of edge AI applications. What’s New: At MWC 2024, Intel announced its new Edge Platform, a modular, open software platform enabling enterprises to develop, deploy, run, secure, and manage edge and AI applications at scale with cloud-like simplicity. Together, these capabilities will accelerate time-to-scale deployment for

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Edge AI in Medical Applications

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. A practical use for object detection based on Convolutional Neural Networks is in devices which can support people with impaired vision. An embedded device which runs object-detection models can make everyday life easier for users with such

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Qualcomm Continues to Bring the Generative AI Revolution to Devices and Empowers Developers with Qualcomm AI Hub

Highlights: Qualcomm now enables at-scale on-device AI commercialization across next-generation PCs, smartphones, software-defined vehicles, XR devices, IoT and more – bringing intelligent computing everywhere. Qualcomm AI Hub offers 75+ optimized AI models for Snapdragon and Qualcomm platforms, reducing time-to-market for developers and unlocking the benefits of on-device AI for their apps. These models are also

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Optimizing Generative AI for Edge Devices

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How pruning, quantization and knowledge distillation help fit generative AI into resource-limited edge devices As of April 2023, one in three U.S. adults have used generative artificial intelligence (AI): Are you among them?1 When OpenAI unveiled ChatGPT

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Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs

New open language models from Google accelerated by TensorRT-LLM across NVIDIA AI platforms — including local RTX AI PCs. NVIDIA, in collaboration with Google, today launched optimizations across all NVIDIA AI platforms for Gemma — Google’s state-of-the-art new lightweight 2 billion– and 7 billion-parameter open language models that can be run anywhere, reducing costs and

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An In-depth Comparison of LiDAR, Camera and Radar Technologies

This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. This article explores the capabilities and limitations of each type of sensor, to provide a clear understanding of why LiDAR has emerged as a strong contender in the computer vision tech race. This article delves into the

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IoT for Dummies: Decoding the Language of Your Smart Building

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As smart home technology continues to evolve, our homes are becoming equipped with an increasing number of sensors, each capable of generating valuable data. From security systems and motion detectors to monitoring electricity and water usage, these

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Benchmarking Camera Performance on Your Workstation with NVIDIA Isaac Sim

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots are typically equipped with cameras. When designing a digital twin simulation, it’s important to replicate its performance in a simulated environment accurately. However, to make sure the simulation runs smoothly, it’s crucial to check the performance

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Quantization of Convolutional Neural Networks: Model Quantization

See “From Theory to Practice: Quantizing Convolutional Neural Networks for Practical Deployment” for the previous article in this series. Significant progress in Convolutional Neural Networks (CNNs) has focused on enhancing model complexity while managing computational demands. Key advancements include efficient architectures like MobileNet1, SqueezeNet2, ShuffleNet3, and DenseNet4, which prioritize compute and memory efficiency. Further innovations

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Visidon at Mobile World Congress 2024

Visidon will exhibit at Mobile World Congress 2024, the world’s largest mobile exhibition, in Barcelona, Spain, from February 26 to 29. Visidon’s booth will showcase its technological advancements since last year. You can find us at the Finland Pavilion in Hall 5, Booth 5J45. MWC Barcelona is the largest and most influential event for the

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CES 2024 Showed that the Future of Cars will be Defined by AI

IDTechEx‘s new report, “Future Automotive Technologies 2024-2034: Applications, Megatrends, Forecasts“, highlights the biggest changes coming to cars over the next ten years. Electrification will change what powers cars, and automation will change how they are driven, but one of the biggest opportunities is connectivity and software definition, which will change how cars are monetized. This

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Generative AI in 2024: The 6 Most Important Consumer Tech Trends

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm executives reveal key trends in AI, consumer technology and more for the future Not that long ago, the banana-peel-and-beer-fueled DeLorean in “Back to the Future” was presented as comedy. Yet today, 10% of cars are electric-powered.1

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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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