Blog Posts

Top 4 Computer Vision Problems & Solutions in Agriculture — Part 1

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series, we highlight the 4 main issues you are likely to encounter in object detection datasets in agriculture. We begin by summarizing the challenges of applying AI to crop monitoring and yield […]

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Introducing the First AMD 1B Language Models: AMD OLMo

This blog post was originally published at AMD’s website. It is reprinted here with the permission of AMD. In recent years, the rapid development of artificial intelligence technology, especially the progress in large language models (LLMs), has garnered significant attention and discussion. From the emergence of ChatGPT to subsequent models like GPT-4 and Llama, these

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Computer Vision Integration in Robotic Applications: Real-world Insights

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Imagine a world where computer vision integration allows robots not only ‘do’ but ‘see’ and ‘understand’. Welcome to the Fourth Industrial Revolution (Industry 4.0)! Here, the fusion of artificial intelligence and industrial robotics is sparking

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Introducing Qualcomm IoT Solutions Framework: Making It Easier to Develop and Deploy Solutions

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Qualcomm IoT Solutions Framework represents a comprehensive suite of developer tools, reference blueprints and a robust ecosystem of partners Qualcomm Technologies, Inc. is known for its vast collection of wireless-related intellectual property and its processor and

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What is Depth of Field and Its Relevance in Embedded Vision?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Depth of Field (DoF) is crucial for embedded vision since it can improve the ability to process and analyze visual data. It is impacted by factors such as aperture size, focal length, and more. Get

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Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Accenture, Dell Technologies and Lenovo are among the companies tapping a new NVIDIA AI Blueprint to develop visual AI agents that can boost productivity, optimize processes and create safer spaces. Enterprises and public sector organizations around the

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How Qualcomm Technologies’ New Platforms Power the Most Demanding Applications in Extreme Environments

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The convergence of physical and digital technologies is transforming industries and driving the need for more advanced platforms to power the next generation of industrial IoT (IIoT) devices. The result is a dramatic leap in demand for

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Top Factors for Selecting the GMSL Camera Interface and Its Key Applications

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. GMSL (Gigabit Multimedia Serial Link) camera interfaces are popular for high-speed data transmission, long-distance support, low latency, etc. For many embedded vision systems, this interface is the right choice. Discover the key considerations for selecting

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Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision AI models to end-to-end AI models for autonomous driving.  Now the demand for computing

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Why Qualcomm AI Orchestrator is the Key to Next Generation AI Experiences

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The software will help facilitate your personal preferences, apps and gen AI models to work together and provide revolutionary on-device AI capabilities In the rapidly evolving landscape of generative artificial intelligence (AI) and how we interact with

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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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