Algorithms

Free Webinar Explores Camera ISP Optimization For Improved Computer Vision Accuracy

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On March 30, 2021 at 9 am PT (noon ET), Marc Courtemanche, Product Architect at Algolux, will present the free half-hour webinar “Optimizing a Camera ISP to Automatically Improve Computer Vision Accuracy,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Cameras are the most ubiquitous sensor used […]

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“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung

Algorithms, Edge AI and Vision Alliance, Industrial Vision (Computer Vision), Object Identification, Software, Summit 2020, Tools, Videos /

Jake Lee, Principal Engineer and Head of the Machine Learning Group at Samsung, presents the “Image-Based Deep Learning for Manufacturing Fault Condition Detection” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Lee explores applying deep learning to analyzing manufacturing parameter data to detect fault conditions. The manufacturing parameter data contains multivariate time

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Building and Deploying a Face Mask Detection Application Using NGC Collections

Algorithms, Articles, Medical, NVIDIA, Object Identification, Processors, Software, Tools /

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software

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Codeplay, NERSC, ALCF Partner on SYCL

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February 3, 2021 – The National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (Berkeley Lab), in collaboration with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory, has signed a contract with Codeplay Software to enhance the LLVM SYCL™ GPU compiler capabilities for NVIDIA® A100 GPUs. This collaboration will help

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“Using an ISP for Real-time Data Augmentation,” a Presentation from Pony.AI

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Timofey Uvarov, Camera System Lead at Pony.AI, presents the “Using an ISP for Real-time Data Augmentation” tutorial at the September 2020 Embedded Vision Summit. Image signal processors (ISPs) are tasked with processing raw pixels delivered by image sensors in order to optimize the quality of images. In computer vision applications, much attention is focused on

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“Eye Tracking for the Future,” a Presentation from Parallel Rules

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Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the Future” tutorial at the September 2020 Embedded Vision Summit. Eye tracking is an increasingly important technology for applications ranging from augmented and virtual reality head-mounted displays to automotive driver monitoring. In this talk, Milford introduces eye tracking techniques and technical challenges. He also

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“Introduction to the TVM Open Source Deep Learning Compiler Stack,” a Presentation from the University of Washington

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Luis Ceze, a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, co-founder and CEO of OctoML, and Venture Partner at Madrona Venture Group, presents the “Introduction to the TVM Open Source Deep Learning Compiler Stack” tutorial at the September 2020 Embedded Vision Summit. There is an

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New Heights for High Dynamic Range

Algorithms, Ambarella, Blog Posts, Processors, Security, Software /

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Advances in our HDR processing algorithms are changing the way cameras handle challenging lighting conditions. In everyday life we often encounter strong lighting contrasts—shadows under the sun, bright lamps at night, a garage door opening to reveal

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“Imaging Systems for Applied Reinforcement Learning Control,” a Presentation from Nanotronics

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2020, Tools, Videos /

Damas Limoge, Senior R&D Engineer at Nanotronics, presents the “Imaging Systems for Applied Reinforcement Learning Control” tutorial at the September 2020 Embedded Vision Summit. Reinforcement learning has generated human-level decision-making strategies in highly complex game scenarios. But most industries, such as manufacturing, have not seen impressive results from the application of these algorithms, belying the

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“Reinforcement Learning: a Practical Introduction,” a Presentation from Microsoft

Algorithms, Edge AI and Vision Alliance, Software, Summit 2020, Tools, Videos /

Joe Booth, former Vice President of Engineering at Orions Systems (now part of Microsoft, where Booth is a Principal Group Engineering Manager) and an independent researcher, presents the “Reinforcement Learning: a Practical Introduction” tutorial at the September 2020 Embedded Vision Summit. This talk provides a practical introduction to reinforcement learning. Booth explains how reinforcement learning

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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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