Summit 2025

“Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, TensorFlow and Numpy,” a Presentation from OpenMV

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Kwabena Agyeman, President of OpenMV, presents the “Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, TensorFlow and Numpy” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Agyeman introduces the OpenMV AE3 and OpenMV N6 low-power, high-performance embedded machine vision cameras, which are 200x better than the… “Running Accelerated CNNs on Low-power […]

“Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, TensorFlow and Numpy,” a Presentation from OpenMV Read More +

“Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accelerators,” a Presentation from NXP Semiconductors

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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

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“A Re-imagination of Embedded Vision System Design,” a Presentation from Imagination Technologies

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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

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“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation from FotoNation

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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

“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation from FotoNation Read More +

“Evolving Inference Processor Software Stacks to Support LLMs,” a Presentation from Expedera

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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

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“Efficiently Registering Depth and RGB Images,” a Presentation from eInfochips

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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

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“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic

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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

“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic Read More +

“Image Tokenization for Distributed Neural Cascades,” a Presentation from Google and VeriSilicon

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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

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“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys

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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

“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys Read More +

“Bridging the Gap: Streamlining the Process of Deploying AI onto Processors,” a Presentation from SqueezeBits

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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

“Bridging the Gap: Streamlining the Process of Deploying AI onto Processors,” a Presentation from SqueezeBits Read More +

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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