Blog Posts

Understanding What the Machines See: State-of-the-art Computer Vision at CVPR 2024

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm’s accepted papers, demos and workshops at CVPR 2024 showcase the future of generative AI and perception The Computer Vision and Pattern Recognition Conference (CVPR) 2024 begins on Monday, June 17, and Qualcomm Technologies is excited to […]

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Understanding Spatial Noise and Its Reduction Methods Using Convolution

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Convolution is a mathematical operation used in image processing to apply filters to images. These filters are used for spatial noise reduction in images with variations or irregularities in the pixel values that are unrelated

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TOPS of the Class: Decoding AI Performance on RTX AI PCs and Workstations

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. What is a token? Why is batch size important? And how do they help determine how fast AI computes? Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology

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How Edge Devices Can Help Mitigate the Global Environmental Cost of Generative AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Exploring the role of edge devices in reducing energy consumption and promoting sustainability in AI systems The economic value of generative artificial intelligence (AI) to the world is immense. Research from McKinsey estimates that generative AI could add the

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Major Imaging Challenges in Microscopy and How to Solve Them

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Microscopic cameras play a major role in medical applications for surgery, pathology, and diagnostics. However, capturing clear and accurate microscopic images can be challenging due to imaging artifacts. These artifacts can appear as distortions or

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Power Cloud-native Microservices at the Edge with NVIDIA JetPack 6.0, Now GA

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA JetPack SDK powers NVIDIA Jetson modules, offering a comprehensive solution for building end-to-end accelerated AI applications. JetPack 6 expands the Jetson platform’s flexibility and scalability with microservices and a host of new features. It’s the most downloaded

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Using D3 mmWave Radar Sensors with Robot Operating System (ROS)

This blog post was originally published by D3. It is reprinted here with the permission of D3. (Note: This article was written by a human being without the aid of AI, however, at D3 we use AI heavily for robotics and other applications!) Introduction Robot Operating System (ROS)is a common open source starting point for

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A Guide to AI TOPS and NPU Performance Metrics

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. In today’s swiftly evolving technological landscape, where artificial intelligence (AI) is reshaping industries and driving innovation, understanding the intricacies of AI performance metrics is paramount.  Previously, many of the AI models were required to run in the

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A Comprehensive Guide to Hyperspectral Imaging in Embedded Vision Applications

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Hyperspectral imaging lets cameras see beyond human vision. It offers a high spectral resolution by capturing data in large numbers of spectral bands. Explore the technical aspects of hyperspectral imaging and discover its applications in

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Streamline Development of AI-powered Apps with NVIDIA RTX AI Toolkit for Windows RTX PCs

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA today launched the NVIDIA RTX AI Toolkit, a collection of tools and SDKs for Windows application developers to customize, optimize, and deploy AI models for Windows applications. It’s free to use, doesn’t require prior experience with

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