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
“Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition,” a Presentation from Microchip Technology
Nick De Rosa, Kannan Srinivasagam, Edge AI Marketing Manager at Microchip Technology presents “Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition” at the May 2026 Embedded Vision Summit. Design teams are moving from edge AI evaluation to deployment and need production-ready, system-level… “Speeding Time to Market with
“Invertible Light Technology: A Paradigm Shift for Depth Sensing,” a Presentation from MagikEye
Takeo Miyazawa, Founder and CEO at MagikEye presents “Invertible Light Technology: A Paradigm Shift for Depth Sensing” at the May 2026 Embedded Vision Summit. Invertible Light Technology (ILT) is a physics- and geometry-based depth-sensing approach designed for low algorithmic overhead. Unlike compute-heavy or correlation-intensive methods, ILT performs depth reconstruction using… “Invertible Light Technology: A Paradigm
“Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,” a Presentation from Lattice Semiconductor
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
“Why Your Next AI Accelerator Should Be an FPGA,” a Presentation from Efinix
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
“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,
