Blog Posts

Optimizing Edge AI for Effective Real-time Decision Making in Robotics

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Optimizing Edge AI Key Takeaways Instant Decisions, Real-World Impact: Edge AI empowers robots to react in milliseconds, enabling life-saving actions in critical scenarios like autonomous vehicle collision avoidance and rapid search-and-rescue missions. Unshakeable Reliability, Unbreachable […]

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What is the Role of ROI in Optimizing Camera Exposure, Focus, and Cropping?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Region of Interest (ROI) helps fine-tune camera performance so that exposure, focus, and cropping can align with specific parameters and deliver high-quality imaging performance. Discover how ROI coordinates impact these parameters for ensuring the best

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Productionizing State-of-the-art Models at the Edge for Smart City Use Cases (Part I)

This blog post was originally published at CLIKA’s website. It is reprinted here with the permission of CLIKA. Approaches to productionizing models for edge applications can vary greatly depending on user priorities, with some models not requiring model optimization at all. An organization can choose pre-existing models designed specifically for edge use cases with performance

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Qualcomm at Embedded World: Accelerating Digital Transformation with Edge AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. An essential partner to the embedded community, Qualcomm Technologies, Inc. strengthens its leadership in intelligent computing with several key announcements The AI revolution is sparking a wave of innovation in the embedded community, spawning a flurry of

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Unveiling the Qualcomm Dragonwing Brand Portfolio: Solutions For a New Era of Industrial Innovation

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our mission is to deliver intelligent computing everywhere. We have an amazing suite of products, and while you may be familiar with the Snapdragon brand portfolio, you may not know that we have a whole suite of

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3LC: What is It and Who is It For?

This blog post was originally published at 3LC’s website. It is reprinted here with the permission of 3LC. AI performance isn’t just about better architectures or more compute – it’s about better data. Even perfectly labeled datasets can hold hidden inefficiencies that limit accuracy. See how teams use 3LC to refine datasets, optimize labeling strategies,

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How e-con Systems’ TintE ISP IP Core Increases the Efficiency of 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. e-con Systems has developed TintE™, a ready to deploy ISP IP core engineered to enhance image quality in camera systems. Built to deliver high performance on leading FPGA platforms, it accelerates real-time image processing with

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Vision Language Model Prompt Engineering Guide for Image and Video Understanding

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision language models (VLMs) are evolving at a breakneck speed. In 2020, the first VLMs revolutionized the generative AI landscape by bringing visual understanding to large language models (LLMs) through the use of a vision encoder. These

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How FPGAs Are Advancing Next-generation Embedded Vision Applications (Part 2)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Field-programmable Gate Arrays (FPGAs) help embedded vision applications meet complex requirements. Discover why FPGAs power next-gen systems with computing power, flexibility, and energy awareness, and learn about their future impact. Embedded vision is a huge

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New AI Model Offers Cellular-level View of Cancerous Tumors

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Researchers studying cancer unveiled a new AI model that provides cellular-level mapping and visualizations of cancer cells, which scientists hope can shed light on how—and why—certain inter-cellular relationships triggers cancers to grow. BioTuring, a San Diego-based startup,

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