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
“Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality,” a Presentation from Expert Panel
Dave Tokic, Vlad Branzoi, Bob Kunz, Rajan Mistry, Durgesh Tiwari, Vice President of Corporate Development at Torc Robotics presents “Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality” at the May 2026 Embedded Vision Summit. Edge AI is helping robots see, decide and act in the real world—but… “Edge AI and Vision in
“From Prototype to Production: What Computer Vision Teams Wish They Knew at 100 Devices,” a Presentation from Peridio
Justin Schneck, Co-Founder and CTO at Peridio presents “From Prototype to Production: What Computer Vision Teams Wish They Knew at 100 Devices” at the May 2026 Embedded Vision Summit. Your computer vision prototype works beautifully: USB camera on a Jetson dev kit, software humming, investors impressed. Production isn’t that convenient.… “From Prototype to Production: What
“Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows,” a Presentation from Nota AI
Tae-Ho Kim, Co-Founder and CTO at Nota AI presents “Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows” at the May 2026 Embedded Vision Summit. As generative AI models rapidly evolve—with increasingly dynamic transformer architectures and diverse framework variations—the challenge of bringing these models to the edge has grown dramatically.… “Enabling “GenAI Everywhere”: Flexible Model
“Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI,” a Presentation from Micron
Saideep Tiku, Principal System Architect at Micron presents “Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI” at the May 2026 Embedded Vision Summit. Generative AI has accelerated the automation of complex digital tasks, and now multimodal perception and reasoning make embodied AI the next… “Roads to Robots: How Generative
“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
