Software

Snapdragon Powers the Future of AI in Smart Glasses. Here’s How

Algorithms, Augmented Reality, Blog Posts, Processors, Qualcomm, Sensors and Cameras, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. A Snapdragon Insider chats with Qualcomm Technologies’ Said Bakadir about the future of smart glasses and Qualcomm Technologies’ role in turning it into a critical AI tool Artificial intelligence (AI) is increasingly winding its way through our […]

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“An Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies

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Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the May 2024 Embedded Vision Summit. Vision applications often rely on object detectors, which determine the nature and location of objects in a scene. But many vision applications require a different… “An Introduction to Semantic Segmentation,”

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Upcoming Webinar Explores How AI Can Make Cameras See In the Dark

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On September 10, 2024 at 9:00 am PT (noon ET), Alliance Member companies Ceva and Visionary.ai will deliver the free webinar “Can AI Make Cameras See In the Dark? Real-Time Video Enhancement.” From the event page: As cameras become ubiquitous in applications such as surveillance, mobile, drones, and automotive systems, achieving clear vision 24/7 under

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NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support

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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques including quantization, sparsity, and pruning. These techniques reduce model complexity and enable downstream inference frameworks like NVIDIA

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“DNN Quantization: Theory to Practice,” a Presentation from AMD

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Dwith Chenna, Member of the Technical Staff and Product Engineer for AI Inference at AMD, presents the “DNN Quantization: Theory to Practice” tutorial at the May 2024 Embedded Vision Summit. Deep neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run… “DNN Quantization: Theory to Practice,”

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“Leveraging Neural Architecture Search for Efficient Computer Vision on the Edge,” a Presentation from NXP Semiconductors

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Hiram Rayo Torres Rodriguez, Senior AI Research Engineer at NXP Semiconductors, presents the “Leveraging Neural Architecture Search for Efficient Computer Vision on the Edge” tutorial at the May 2024 Embedded Vision Summit. In most AI research today, deep neural networks (DNNs) are designed solely to improve prediction accuracy, often ignoring… “Leveraging Neural Architecture Search for

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“Introduction to Visual Simultaneous Localization and Mapping (VSLAM),” a Presentation from Cadence

Algorithms, Cadence, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Amol Borkar, Product Marketing Director, and Shrinivas Gadkari, Design Engineering Director, both of Cadence, co-present the “Introduction to Visual Simultaneous Localization and Mapping (VSLAM)” tutorial at the May 2024 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) is widely used in industry and has numerous applications where camera or ego-motion… “Introduction to Visual Simultaneous Localization

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Scalable Public Safety with On-device AI: How Startup FocusAI is Filling Enterprise Security Market Gaps

Algorithms, Blog Posts, Object Identification, Object Tracking, Processors, Qualcomm, Security, Sensors and Cameras, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm Enterprise security is not just big business, it’s about keeping you safe: Here’s how engineer-turned-CTO Sudhakaran Ram collaborated with us to do just that. Key Takeaways: On-device AI enables superior enterprise-grade security. Distributed computing cost-efficiently enables actionable

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EyePop.ai Demonstration of Effortless AI Integration

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Andy Ballester, Co-Founder of EyePop.ai, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Ballester demonstrates the ease and accessibility of his company’s AI platform. Tailored for startups without machine learning teams, this demo showcases how to create a custom computer vision endpoint that can be

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Interactive AI Tool Delivers Immersive Video Content to Blind and Low-vision Viewers

Algorithms, Blog Posts, NVIDIA, Object Identification, Object Tracking, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. New research aims to revolutionize video accessibility for blind or low-vision (BLV) viewers with an AI-powered system that gives users the ability to explore content interactively. The innovative system, detailed in a recent paper, addresses significant gaps

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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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