Videos on Edge AI and Visual Intelligence
We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.
Alliance Website Videos
“HiFi iQ: Enabling Voice AI and Immersive Audio for Smart Home, Mobile and Automotive,” a Presentation from Cadence
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
“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI
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
“Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow,” a Presentation from AMD
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
“Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs,” a Presentation from AMD
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:
“Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices,” a Presentation from Ambarella
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
On-Demand Webinar on Deploying Computer Vision and LLMs at the Edge
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,
Falcon Takes Flight: Connect Tech’s Vehicle AI Platform Was Built for the Worst Conditions on Earth
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
Roadmap to Autonomous Manufacturing: An AI driven Approach Based on Engineering Foundations
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,
Beyond the Bench: Reinventing Embedded Hardware with Grinn
This video was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. In this episode of Beyond the Bench from Peridio, Bill Brock sits down with Robert Otręba, Founder & CEO of Grinn, a Poland-based embedded engineering company operating for nearly 18 years. Robert shares how Grinn grew from a two-person
“Non-Contact Vital Sign Monitoring Using Low-Cost WiFi Devices,” a Presentation from the University of California, Santa Cruz
Katia Obraczka, Professor of Computer Science and Engineering, University of California, Santa Cruz, Pranay Kocheta, Lexington High School, and Nayan Bhatia, University of California, Santa Cruz present the “Non-Contact Vital Sign Monitoring Using Low-Cost WiFi Devices” tutorial at the December 2025 Edge AI and Vision Innovation Forum.
