Software

Snapdragon Summit’s AI Highlights: A Look at the Future of On-device AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Technologies sets new standards in AI performance for its latest mobile, automotive and Qualcomm AI Hub advancements Our annual Snapdragon Summit wrapped up with exciting new announcements centered on the future of on-device artificial intelligence (AI). […]

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FotoNation Completes a Hat-trick Management Buyout

Vision Technology Leader Reacquired by Company’s Original Founders GALWAY, Ireland, Nov. 12, 2024– FotoNation® (www.fotonation.com), a leading provider of ultra-low power, high-efficiency computer vision AI solutions, announced that its founders have completed a management buyout of the company’s chip-level hardware, firmware, and imaging business, acquiring the company for the third time. Petronel Bigioi, its current

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How to Accelerate Larger LLMs Locally on RTX With LM Studio

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. GPU offloading makes massive models accessible on local RTX AI PCs and workstations. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware,

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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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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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The Global Robotaxi Market Value in 2024 Will be $174B

For more information, visit https://www.idtechex.com/en/research-report/autonomous-vehicles-market-2025-2045-robotaxis-autonomous-cars-sensors/1045. The global robotaxi vehicle market value in 2045 will be US$174 billion, growing with a 20-year CAGR of 37% between 2025 and 2045 and with a market share dominated by leaders from the US and China, such as Google’s Waymo, GM’s Cruise, WeRide, Baidu, and AutoX. IDTechEx’s Autonomous Vehicles Market

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“Improved Data Sampling Techniques for Training Neural Networks,” a Presentation from Karthik Rao Aroor

Independent AI Engineer Karthik Rao Aroor presents the “Improved Data Sampling Techniques for Training Neural Networks” tutorial at the May 2024 Embedded Vision Summit. For classification problems in which there are equal numbers of samples in each class, Aroor proposes and presents a novel mini-batch sampling approach to train neural… “Improved Data Sampling Techniques for

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