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
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“OpenCV for High-performance, Low-power Vision Applications on Snapdragon,” a Presentation from Qualcomm
Xin Zhong, Computer Vision Product Manager at Qualcomm Technologies, presents the “OpenCV for High-performance, Low-power Vision Applications on Snapdragon” tutorial at the May 2024 Embedded Vision Summit. For decades, the OpenCV software library has been popular for developing computer vision applications. However, developers have found it challenging to create efficient… “OpenCV for High-performance, Low-power Vision
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“Deploying Large Models on the Edge: Success Stories and Challenges,” a Presentation from Qualcomm
Vinesh Sukumar, Senior Director of Product Management at Qualcomm Technologies, presents the “Deploying Large Models on the Edge: Success Stories and Challenges” tutorial at the May 2024 Embedded Vision Summit. In this talk, Dr. Sukumar explains and demonstrates how Qualcomm has been successful in deploying large generative AI and multimodal… “Deploying Large Models on the
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“Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment,” a Presentation from Network Optix
Maurits Kaptein, Chief Data Scientist at Network Optix and Professor at the University of Eindhoven, presents the “Scaling Vision-based Edge AI Solutions: From Prototype to Global Deployment” tutorial at the May 2024 Embedded Vision Summit. The Embedded Vision Summit brings together innovators in silicon, devices, software and applications and empowers… “Scaling Vision-based Edge AI Solutions:
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“What’s Next in On-device Generative AI,” a Presentation from Qualcomm
Jilei Hou, Vice President of Engineering and Head of AI Research at Qualcomm Technologies, presents the “What’s Next in On-device Generative AI” tutorial at the May 2024 Embedded Vision Summit. The generative AI era has begun! Large multimodal models are bringing the power of language understanding to machine perception, and transformer models are expanding to
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2024 Edge AI and Vision Product of the Year Award Winner Showcase: Tenyks (Edge AI Developer Tools)
Tenyks’ Data-Centric CoPilot for Vision is the 2024 Edge AI and Vision Product of the Year Award Winner in the Edge AI Developer Tools category. The Data-Centric CoPilot for Vision platform helps computer vision teams develop production-ready models 8x faster. The platform enables machine learning (ML) teams to mine edge cases, failure patterns and annotation
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2024 Edge AI and Vision Product of the Year Award Winner Showcase: Ambarella (Edge AI Software and Algorithms)
Ambarella’s central 4D imaging radar architecture is the 2024 Edge AI and Vision Product of the Year Award Winner in the Edge AI Software and Algorithms category. It is the first centralized 4D imaging radar architecture that allows both central processing of raw radar data and deep low-level fusion with other sensor inputs—including cameras, lidar
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2024 Edge AI and Vision Product of the Year Award Winner Showcase: Qualcomm (Edge AI Processors)
Qualcomm’s Snapdragon X Elite Platform is the 2024 Edge AI and Vision Product of the Year Award Winner in the Edge AI Processors category. The Snapdragon X Elite is the first Snapdragon based on the new Qualcomm Oryon CPU architecture, which outperforms every other laptop CPU in its class. The Snapdragon X Elite’s heterogeneous AI
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Edge AI and Vision Alliance Conversation with GenAI Nerds on Generative AI At the Edge
Kerry Shih of GenAI Nerds interviews Jeff Bier, Founder of the Edge AI and Vision Alliance, and Phil Lapsley, the Alliance’s Vice President of Business Development, about the opportunities and trends for generative AI at the edge. Shih, Bier and Lapsley discuss topics such as: Where we are in the generative AI hype cycle What
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What Changed From VCRs to Software-defined Vision?
The Edge AI and Vision Alliance’s Jeff Bier discusses how advances in embedded systems’ basic building blocks are fundamentally changing their nature. The Ojo-Yoshida Report is launching the second in our Dig Deeper video podcast series, this issue focusing on “Embedded Basics.” Our guest for the inaugural episode is Jeff Bier, founder, Edge AI and Embedded Vision
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Lemur Imaging Demonstration of High Quality Compression Compared to Standard Quantization Techniques
Noman Hashim, CEO of Lemur Imaging, demonstrates the company’s latest edge AI and vision technologies and products at the March 2024 Edge AI and Vision Alliance Forum. Specifically, Hashim demonstrates Lemur Imaging’s high-quality memory reduction (LMR) image compression technology on different networks, showing that compression outperforms quantization in edge AI subsystems. The image quality delivered