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NVIDIA AI Workbench Simplifies Using GPUs on Windows

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA AI Workbench is a free, user-friendly development environment manager that streamlines data science, ML, and AI projects on your system of choice: PC, workstation, datacenter, or cloud. You can develop, test, and prototype projects locally on […]

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“Unveiling the Power of Multimodal Large Language Models: Revolutionizing Perceptual AI,” a Presentation from BenchSci

István Fehérvári, Director of Data and ML at BenchSci, presents the “Unveiling the Power of Multimodal Large Language Models: Revolutionizing Perceptual AI” tutorial at the May 2024 Embedded Vision Summit. Multimodal large language models represent a transformative breakthrough in artificial intelligence, blending the power of natural language processing with visual… “Unveiling the Power of Multimodal

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IDTechEx Company Profile: Ambarella

This market research report was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Note: This article was originally published on the IDTechEx subscription platform. It is reprinted here with the permission of IDTechEx – the full profile including SWOT analysis and the IDTechEx index is available as part of

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“Making Alexa More Ambiently Intelligent with Computer Vision,” a Presentation from Amazon

Michael Giannangeli, Senior Manager of Product Management for Alexa Devices at Amazon, presents the “Making Alexa More Ambiently Intelligent with Computer Vision,” tutorial at the May 2024 Embedded Vision Summit. This presentation takes a behind-the-scenes look at the development and launch of adaptive content on Alexa Devices, which uses computer… “Making Alexa More Ambiently Intelligent

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Enhancing Face Detection Through Noise Reduction: A Breakthrough in Visual Recognition

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the ever-evolving landscape of security technology, the accuracy of face detection plays a pivotal role in safeguarding our surroundings. However, the accuracy and efficiency of face detection algorithms can be significantly challenged, especially in low-light conditions

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“Harm and Bias Evaluation and Solution for Adobe Firefly,” a Presentation from Adobe

Rebecca Li, Machine Learning Engineering Manager at Adobe, presents the “Harm and Bias Evaluation and Solution for Adobe Firefly” tutorial at the May 2024 Embedded Vision Summit. In this talk, Dr. Li explores the comprehensive approach Adobe has taken to mitigate harm and bias for Firefly, Adobe’s groundbreaking AI art… “Harm and Bias Evaluation and

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Multimodal AI is Having Its Moment In the Sun. Here’s Why It’s So Important

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Multimodal AI takes in different inputs like text, images or video, allowing digital assistants to better understand the world and you, and gets supercharged when it’s able to run on your device As smart as generative artificial

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“Enabling Smart Retail with Visual AI,” a Presentation from 365 Retail Markets

Himanshu Vajaria, Engineering Manager at 365 Retail Markets, presents the “Enabling Smart Retail with Visual AI” tutorial at the May 2024 Embedded Vision Summit. Automated checkout systems are on the rise—preferred by customers and businesses alike. However, most systems rely on the customer scanning one product at a time and… “Enabling Smart Retail with Visual

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May 2024 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Patrick Lohman, CEO and Co-Founder of Cloneable, AI, Nasim Sahraei, Chief Product Officer at Edgehog Advanced Technologies, Brad Chisum, CEO of eyepop.ai, Kwabena Agyeman, President and CEO of OpenMV, and Gor Hakobyan, CTO of Waveye, deliver their Vision Tank finalist presentations at the May 2024 Embedded Vision Summit. The Vision Tank introduces companies that incorporate

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Simplifying Camera Calibration to Enhance AI-powered Multi-Camera Tracking

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning process to enhance system accuracy in the first part and second part. NVIDIA Metropolis

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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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