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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2020, Tools, Videos / January 22, 2021

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.… “Reinforcement Learning: a Practical Introduction,” …

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

Algorithms, Edge AI and Vision Alliance, NVIDIA, Processors, Software, Summit 2020, Tools, Videos / January 22, 2021

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… “Khronos Standard APIs for Accelerating …

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

Algorithms, News, NOTA, Software, Tools, Webinar / January 22, 2021

On March 23, 2021 at 9 am PT (noon ET), Tae-Ho Kim, founder and CTO of 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 …

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“Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification,” a Presentation from Imagination Technologies

Algorithms, Face Detection, Face Recognition, Imagination Technologies, Software, Summit 2020, Videos / January 15, 2021

Ana Salazar, Senior Research Manager at Imagination Technologies, presents the “Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification” tutorial at the September 2020 Embedded Vision Summit. This talk explores the challenges of deploying serial computer vision tasks implemented with DNNs. Neural network accelerators… “Challenges and Approaches for Cascaded …

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The Battlefield of Cutting Edge Face Detectors

Algorithms, Blog Posts, Face Detection, Software, Tools, Uncategorized, Xailient / January 19, 2021

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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2020, Tools, Videos / January 15, 2021

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… “Sea-thru: A Method for Removing …

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Sensors, Software, Summit 2020, Videos / January 8, 2021

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic… “Safer and More Efficient Intersections …

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

Algorithms, Edge AI and Vision Alliance, Processors, Sensors, Software, Summit 2020, Tools, Videos / January 8, 2021

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… “Deep Learning on Mobile Devices,” …

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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 / January 8, 2021

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… “Deep Learning for Manufacturing Inspection: …

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

Algorithms, Edge AI and Vision Alliance, Software, Summit 2020, Tools, Videos / January 8, 2021

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… “Practical DNN Quantization Techniques and …

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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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