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“Khronos Standard APIs for Accelerating Vision and Inferencing,” a Presentation from the Khronos Group

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Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Khronos Standard APIs for Accelerating Vision and Inferencing” tutorial at the September 2020 Embedded Vision Summit. The landscape of processors and tools for accelerating inferencing and vision applications continues to evolve rapidly. Khronos standards, such as OpenCL, OpenVX, […]

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Free Webinar Explores Deep Learning Model Optimization Techniques for Enhanced On-device AI

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On March 23, 2021 at 9 am PT (noon ET), Bibek Chaudhary, research engineer at Nota, will present the free half-hour webinar “Selecting and Combining Deep Learning Model Optimization Techniques for Enhanced On-device AI,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Model optimization techniques such as

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The Battlefield of Cutting Edge Face Detectors

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This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Face detector is one of the most commonly used AI component today. Whether you are building a system to count the number of people in a room or a home security system that unlocks the door when

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“Sea-thru: A Method for Removing Water from Underwater Images,” a Presentation from the Harbor Branch Oceanographic Institute

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Derya Akkaynak, Engineer and Oceanographer at the Harbor Branch Oceanographic Institute, presents the “Sea-thru: A Method for Removing Water from Underwater Images” tutorial at the September 2020 Embedded Vision Summit. Very large underwater image datasets are generated every day that capture important information regarding the state of our oceans, but they cannot be efficiently analyzed

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“Deep Learning on Mobile Devices,” a Presentation from Siddha Ganju

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Independent AI architect Siddha Ganju  presents the “Deep Learning on Mobile Devices” tutorial at the September 2020 Embedded Vision Summit. Over the last few years, convolutional neural networks (CNNs) have grown enormously in popularity, especially for computer vision. Many applications running on smartphones and wearable devices could benefit from the capabilities of CNNs. However, CNN’s

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“Deep Learning for Manufacturing Inspection: Case Studies,” a Presentation from FLIR Systems

Algorithms, FLIR Systems, Industrial Vision (Computer Vision), Object Identification, Sensors, Software, Summit 2020, Tools, Videos /

Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection: Case Studies” tutorial at the September 2020 Embedded Vision Summit. Deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition and natural language processing. See

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“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook

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Raghuraman Krishnamoorthi, Software Engineer at Facebook, presents the “Practical DNN Quantization Techniques and Tools” tutorial at the September 2020 Embedded Vision Summit. Quantization is a key technique to enable the efficient deployment of deep neural networks. In this talk, Krishnamoorthi presents an overview of techniques for quantizing convolutional neural networks for inference with integer weights

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Free Webinar Explores Adding Visual AI or Computer Vision to Your Embedded System

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On February 9, 2021 at 9 am PT (noon ET), the Edge AI and Vision Alliance’s Founder, Jeff Bier, and Vice President of Special Projects, Phil Lapsley, will present the free hour webinar “Adding Visual AI or Computer Vision to Your Embedded System: Key Things Every Engineering Manager Should Know,” in partnership with Aspencore. Here’s

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“Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models,” a Presentation from EJ Technology Consultants

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Evan Juras, Computer Vision Engineer at EJ Technology Consultants, presents the “Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models” tutorial at the September 2020 Embedded Vision Summit. Data augmentation is a method of expanding deep learning training datasets by making various automated modifications to existing images in the dataset. The resulting

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Free Webinar Explores Rapidly Building Robust Data-driven Embedded Machine Learning Applications

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On February 25, 2021 at 9 am PT (noon ET), Zach Shelby, CEO and co-founder, and Daniel Situnayake, founding ML engineer, both of Edge Impulse, will present the free hour webinar “How to Rapidly Build Robust Data-driven Embedded Machine Learning Applications,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event

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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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