Videos

“Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,” a Presentation from Lattice Semiconductor

Algorithms & Models, Edge AI and Vision Alliance, Lattice Semiconductor, Memory, Processors, Summit 2026, Videos /

Nicolas Widynski, AI Fellow at Lattice Semiconductor presents “Efficient Computer Vision at the Far Edge: Design and Training Under Constraints” at the May 2026 Embedded Vision Summit. This session explores practical strategies for deploying computer vision AI on far-edge devices under strict resource constraints. While highlighting FPGA-specific strengths, such as… “Efficient Computer Vision at the […]

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“Why Your Next AI Accelerator Should Be an FPGA,” a Presentation from Efinix

Edge AI and Vision Alliance, Efinix, Processors, Summit 2026, Videos /

Mark Oliver, VP of Marketing and Business Development at Efinix presents “Why Your Next AI Accelerator Should Be an FPGA” at the May 2026 Embedded Vision Summit. Edge AI system developers often assume that AI workloads require a GPU or NPU. But when cost, latency, complex I/O or tight power… “Why Your Next AI Accelerator

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“HiFi iQ: Enabling Voice AI and Immersive Audio for Smart Home, Mobile and Automotive,” a Presentation from Cadence

Cadence, Consumer, Edge AI and Vision Alliance, Processors, Summit 2026, Videos /

Amol Borkar, Group Director of Product Management and Marketing—Tensilica DSPs, Silicon Solutions Group (SSG) at Cadence presents “HiFi iQ: Enabling Voice AI and Immersive Audio for Smart Home, Mobile and Automotive” at the May 2026 Embedded Vision Summit. Voice is quickly becoming the primary interface for consumer and enterprise devices,… “HiFi iQ: Enabling Voice AI

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“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI

Algorithms & Models, Boston.AI, Edge AI and Vision Alliance, Summit 2026, Tools, Videos /

Mark Antonelli, CTO at Boston.AI presents “What We Learned Porting to OpenCV 5 with Claude Code” at the May 2026 Embedded Vision Summit. OpenCV 5 introduces significant architectural changes to improve vision performance and better utilize modern hardware. In addition to support for new features like vision-language models, there are… “What We Learned Porting to

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“Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow,” a Presentation from AMD

AMD, Edge AI and Vision Alliance, Processors, Software, Summit 2026, Tools, Videos /

Thomas Zerbs, Technical Marketing Engineer, Adaptive and Embedded Computing Group at AMD presents “Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow” at the May 2026 Embedded Vision Summit. In this presentation, we provide a practical end-to-end overview of the AMD Vitis™ AI workflow for… “Accelerating Deep Learning Models on

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“Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs,” a Presentation from AMD

AMD, Edge AI and Vision Alliance, Software, Summit 2026, Videos /

Alok Gupta, Senior Technical Marketing Manager at AMD presents “Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs” at the May 2026 Embedded Vision Summit. Discover how AMD’s ROCm software stack unlocks data center-class ML performance on embedded integrated GPUs, enabling diverse AI workloads from CNNs and transformers… “Accelerating Physical AI with ROCm:

“Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs,” a Presentation from AMD Read More +

“Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices,” a Presentation from Ambarella

Algorithms & Models, Edge AI and Vision Alliance, Multimodal, Sensors and Cameras, Software, Summit 2026, Tools, Videos /

Pietro Antonio Cicalese, Senior Technical Marketing Engineer at Ambarella, presents “Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices” at the May 2026 Embedded Vision Summit. Coding agents are usually built as cloud-first abstractions. But for developing trustworthy, production-ready edge systems, we’ve found that coding agents should be designed from… “Edge-First Coding Agents: Trustworthy Agentic

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On-Demand Webinar on Deploying Computer Vision and LLMs at the Edge

Algorithms & Models, Boston.AI, Videos /

Check out this recent webinar from Boston.AI “Reality Check: Deploying Computer Vision and LLMs at the Edge” From the event page: AI workloads are moving closer to where data is generated — but how close can we really get? This webinar from ICS and Boston AI explores the evolving landscape of deploying advanced AI models,

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Falcon Takes Flight: Connect Tech’s Vehicle AI Platform Was Built for the Worst Conditions on Earth

Automotive, Blog Posts, Industrial Vision (Computer Vision), Macnica, NVIDIA, Videos /

This blog post was originally published at Macnica America’s website. It is reprinted here with the permission of Macnica America. Dust. Vibration. Mud. Sub-zero mornings and scorching afternoons. These are the conditions that kill most compute platforms before they ever reach production, and yet it’s exactly these conditions, on farms, construction sites, and open-pit mines, where

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Roadmap to Autonomous Manufacturing: An AI driven Approach Based on Engineering Foundations

Articles, HCLTech, Industrial Vision (Computer Vision), Videos /

This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. Autonomous manufacturing can be achieved through a structured journey built on foundational engineering, converged data and human-led AI Key takeaways Autonomous manufacturing is the natural evolution of automation, engineering and AI. It is already here in parts,

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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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