OwLite Meets Qualcomm Neural Network: Unlocking On-device AI Performance

This blog post was originally published at SqueezeBits’ website. It is reprinted here with the permission of SqueezeBits. At SqueezeBits we have been empowering developers to efficiently deploy complex AI models while minimizing performance trade-offs with OwLite toolkit. With OwLite v2.5, we’re excited to announce official support for Qualcomm Neural Network (QNN) through seamless integration […]

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“Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration,” a Presentation from Google

Niyati Prajapati, ML and Generative AI Lead at Google, presents the “Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration” tutorial at the May 2025 Embedded Vision Summit. In this talk, Prajapati explores how vision LLMs can be used in multi-agent collaborative systems to enable new levels of capability and autonomy. She explains the architecture

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NVIDIA and Intel to Develop AI Infrastructure and Personal Computing Products

Intel to design and manufacture custom data center and client CPUs with NVIDIA NVLink; NVIDIA to invest $5 billion in Intel common stock September 18, 2025 – NVIDIA (NASDAQ: NVDA) and Intel Corporation (NASDAQ: INTC) today announced a collaboration to jointly develop multiple generations of custom data center and PC products that accelerate applications and workloads

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Shifting AI Inference from the Cloud to Your Phone Can Reduce AI Costs

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Every AI query has a cost, and not just in dollars. Study shows distributing AI workloads to your devices — such as your smartphone — can reduce costs and decrease water consumption What you should know: Study

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“Building Agentic Applications for the Edge,” a Presentation from GMAC Intelligence

Amit Mate, Founder and CEO of GMAC Intelligence, presents the “Building Agentic Applications for the Edge” tutorial at the May 2025 Embedded Vision Summit. Along with AI agents, the new generation of large language models, vision-language models and other large multimodal models are enabling powerful new capabilities that promise to transform industries. In this talk,

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September 2025 Edge AI and Vision Innovation Forum Presentation Files

The ZIP file linked to below contains PDFs of the various presentations from the Alliance’s September 16, 2025 Edge AI and Vision Innovation Forum. Please be aware that these materials are for Alliance Member company internal use only. September 16, 2025 Edge AI and Vision Innovation Forum Presentations September 2025 Edge AI and Vision Innovation

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FRAMOS Extends D400e 3D Camera Support to NVIDIA Holoscan Sensor Bridge

Industrial-grade depth sensing now integrates seamlessly with edge AI pipelines on NVIDIA Jetson AGX Orin and Jetson AGX Thor Munich, Bavaria, Germany – September 17, 2025.– FRAMOS announces official support for NVIDIA Holoscan Sensor Bridge on its D400e series of industrial 3D depth cameras, enabling seamless integration of RealSense™-based stereo vision into advanced edge AI

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Edge AI and Vision Insights: September 17, 2025

LETTER FROM THE EDITOR Dear Colleague, Next Tuesday, September 23, 2025 at 9 am PT, the Yole Group will present the free webinar “Infrared Imaging: Technologies, Trends, Opportunities and Forecasts” in partnership with the Edge AI and Vision Alliance. Infrared (IR) cameras are increasingly finding adoption in a diversity of applications, as an adjunct or

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How to Use the RGB-D Mapping Feature of e-con Systems’ DepthVista ToF Camera

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Learn how to leverage the RGB-D mapping feature of e-con Systems’ DepthVista ToF camera to align RGB and depth data for precise 3D vision applications. This step-by-step guide covers camera calibration, the role of intrinsic

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“Specifying and Designing Cameras for Computer Vision Applications,” a Presentation from Etron Technology America

Richard Crisp, Vice President and CTO at Etron Technology America, presents the “Specifying and Designing Cameras for Computer Vision Applications” tutorial at the May 2025 Embedded Vision Summit. Designing a camera system requires a deep understanding of the fundamental principles of image formation and the physical characteristics of its components. Translating computer vision-based system requirements

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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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