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“Developing a GStreamer-based Custom Camera System for Long-range Biometric Data Collection,” a Presentation from Oak Ridge National Laboratory

Gavin Jager, Researcher and Lab Space Manager at Oak Ridge National Laboratory, presents the “Developing a GStreamer-based Custom Camera System for Long-range Biometric Data Collection” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Jager describes Oak Ridge National Laboratory’s work developing software for a custom camera system… “Developing a GStreamer-based Custom Camera […]

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“Sensors and Compute Needs and Challenges for Humanoid Robots,” a Presentation from Agility Robotics

Vlad Branzoi, Perception Sensors Team Lead at Agility Robotics, presents the “Sensors and Compute Needs and Challenges for Humanoid Robots” tutorial at the September 2025 Edge AI and Vision Innovation Forum.

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How to Integrate Computer Vision Pipelines with Generative AI and Reasoning

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Generative AI is opening new possibilities for analyzing existing video streams. Video analytics are evolving from counting objects to turning raw video content footage into real-time understanding. This enables more actionable insights. The NVIDIA AI Blueprint for

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“Scaling Artificial Intelligence and Computer Vision for Conservation,” a Presentation from The Nature Conservancy

Matt Merrifield, Chief Technology Officer at The Nature Conservancy, presents the “Scaling Artificial Intelligence and Computer Vision for Conservation” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Merrifield explains how the world’s largest environmental nonprofit is spearheading projects to scale the use of edge AI and vision… “Scaling Artificial Intelligence and Computer

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“A Lightweight Camera Stack for Edge AI,” a Presentation from Meta

Jui Garagate, Camera Software Engineer, and Karthick Kumaran, Staff Software Engineer, both of Meta, co-present the “Lightweight Camera Stack for Edge AI” tutorial at the May 2025 Embedded Vision Summit. Electronic products for virtual and augmented reality, home robots and cars deploy multiple cameras for computer vision and AI use… “A Lightweight Camera Stack for

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Introducing Modalix SoM: Power Efficient SoM with Rich Peripherals for Seamless Sensor Integration

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. At SiMa.ai, we’re pushing the boundaries of what’s possible with Physical AI. Today, we’re proud to announce the sampling of our new System-on-Module (SoM), featuring the second-generation Modalix™ MLSoC. Designed to bring cutting-edge GenAI and LLM capabilities

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“Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models,” a Presentation from LinkedIn Learning

Alina Li Zhang, Senior Data Scientist and Tech Writer at LinkedIn Learning, presents the “Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models” tutorial at the May 2025 Embedded Vision Summit. Imagine a world where AI systems automatically detect thefts in grocery stores, ensure construction site safety and identify patient… “Unlocking Visual Intelligence: Advanced Prompt

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The Edge’s Essential Role in the Future of AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. What you should know: The future of AI will be hybrid, with the cloud and the edge working together — each playing a vital role. The user interface (UI) is now human-centric — your device understands your

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“Deploying Accelerated ML and AI: The Role of Khronos Open Standards,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Deploying Accelerated ML and AI: The Role of Khronos Open Standards” tutorial at the May 2025 Embedded Vision Summit. Accelerating machine learning and AI workloads often requires specialized hardware, but managing compatibility across… “Deploying Accelerated ML and AI:

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New Snapdragon X2 Elite Extreme and Snapdragon X2 Elite are the Fastest and Most Efficient Processors for Windows PCs

Highlights: Built for ultra-premium Windows 11 PCs, Snapdragon® X2 Elite Extreme tackles complex, expert-level workloads with ultimate performance, multi-day battery life and blazing fast AI-processing power. Snapdragon® X2 Elite drives powerful and efficient multitasking across resource-intensive workloads in premium Windows 11 PCs, with industry-leading performance that can last for days. These next-generation premium-tier platforms within

New Snapdragon X2 Elite Extreme and Snapdragon X2 Elite are the Fastest and Most Efficient Processors for Windows PCs Read More +

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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