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
“Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accelerators,” a Presentation from NXP Semiconductors
Ali Osman Ors, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, presents the “Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accelerators” tutorial at the May 2025 Embedded Vision Summit. The integration of discrete AI accelerators with edge processors is poised to revolutionize… “Scaling i.MX Applications Processors’ Native
Unlocking the Power of Edge AI With Microchip Technology
This blog post was originally published at Microchip Technology’s website. It is reprinted here with the permission of Microchip Technology. From the factory floor to the operating room, edge AI is changing everything. Here’s how Microchip is helping developers bring real-time intelligence to the world’s most power-constrained devices. Not long ago, Artificial Intelligence (AI) lived
“A Re-imagination of Embedded Vision System Design,” a Presentation from Imagination Technologies
Dennis Laudick, Vice President of Product Management and Marketing at Imagination Technologies, presents the “A Re-imagination of Embedded Vision System Design” tutorial at the May 2025 Embedded Vision Summit. Embedded vision applications, with their demand for ever more processing power, have been driving up the size and complexity of edge… “A Re-imagination of Embedded Vision
“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation from FotoNation
Petronel Bigioi, CEO of FotoNation, presents the “MPU+: A Transformative Solution for Next-Gen AI at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this talk, Bigioi introduces MPU+, a novel programmable, customizable low-power platform for real-time, localized intelligence at the edge. The platform includes an AI-augmented image… “MPU+: A Transformative Solution for
“Evolving Inference Processor Software Stacks to Support LLMs,” a Presentation from Expedera
Ramteja Tadishetti, Principal Software Engineer at Expedera, presents the “Evolving Inference Processor Software Stacks to Support LLMs” tutorial at the May 2025 Embedded Vision Summit. As large language models (LLMs) and vision-language models (VLMs) have quickly become important for edge applications from smartphones to automobiles, chipmakers and IP providers have… “Evolving Inference Processor Software Stacks
“Efficiently Registering Depth and RGB Images,” a Presentation from eInfochips
Naitik Nakrani, Solution Architect Manager at eInfochips, presents the “Efficiently Registering Depth and RGB Images” tutorial at the May 2025 Embedded Vision Summit. As depth sensing and computer vision technologies evolve, integrating RGB and depth cameras has become crucial for reliable and precise scene perception. In this session, Nakrani presents… “Efficiently Registering Depth and RGB
“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic
Carl Moberg, CTO of Avassa, and Zoie Rittling, Business Development Manager at OnLogic, co-present the “How Right-size and Future-proof a Container-first Edge AI Infrastructure” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Moberg and Rittling provide practical guidance on overcoming key challenges in deploying AI at the… “How to Right-size and Future-proof
“Image Tokenization for Distributed Neural Cascades,” a Presentation from Google and VeriSilicon
Derek Chow, Software Engineer at Google, and Shang-Hung Lin, Vice President of NPU Technology at VeriSilicon, co-present the “Image Tokenization for Distributed Neural Cascades” tutorial at the May 2025 Embedded Vision Summit. Multimodal LLMs promise to bring exciting new abilities to devices! As we see foundational models become more capable,… “Image Tokenization for Distributed Neural
“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys
Gordon Cooper, Principal Product Manager at Synopsys, presents the “Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP” tutorial at the May 2025 Embedded Vision Summit. In this talk, Cooper discusses emerging trends in generative AI for edge devices and… “Key Requirements to Successfully Implement
“Bridging the Gap: Streamlining the Process of Deploying AI onto Processors,” a Presentation from SqueezeBits
Taesu Kim, Chief Technology Officer at SqueezeBits, presents the “Bridging the Gap: Streamlining the Process of Deploying AI onto Processors” tutorial at the May 2025 Embedded Vision Summit. Large language models (LLMs) often demand hand-coded conversion scripts for deployment on each distinct processor-specific software stack—a process that’s time-consuming and prone… “Bridging the Gap: Streamlining the
