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Now available—the Embedded Vision Summit On-Demand Edition! Gain valuable computer vision and edge AI insights and know-how from the experts at the 2021 Summit.

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.

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“High-fidelity Conversion of Floating-point Networks for Low-precision Inference using Distillation with Limited Data,” a Presentation from Imagination Technologies

James Imber, Senior Research Engineer at Imagination Technologies, presents the “High-fidelity Conversion of Floating-point Networks for Low-precision Inference using Distillation with Limited Data” tutorial at the May 2021 Embedded Vision Summit. When converting floating-point networks to low-precision equivalents for high-performance inference, the primary objective is to maximally compress the network… “High-fidelity Conversion of Floating-point Networks

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“Facing Up to Bias,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “Facing Up to Bias” tutorial at the May 2021 Embedded Vision Summit. Today’s face recognition networks identify white men correctly more often than white women or non-white people. The use of these models can manifest racism, sexism, and other troubling forms of discrimination.… “Facing Up to Bias,” a

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“Getting Started with Vision AI Model Training,” a Presentation from NVIDIA

Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Getting Started with Vision AI Model Training” tutorial at the May 2021 Embedded Vision Summit. In many modern vision and graphics applications, deep neural networks (DNNs) enable state-of-the-art performance for tasks like image classification, object detection and segmentation, quality enhancement and even… “Getting Started with Vision AI

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“Khronos Group Standards: Powering the Future of Embedded Vision,” a Presentation from the Khronos Group

Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and President of the Khronos Group, presents the “Khronos Group Standards: Powering the Future of Embedded Vision” tutorial at the May 2021 Embedded Vision Summit. Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems.… “Khronos Group Standards: Powering the

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“Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge,” a Presentation from Arm

Tim Hartley, Vice President of Product and Marketing at SeeChange Technologies (an Arm company), presents the “Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge” tutorial at the May 2021 Embedded Vision Summit. Neural networks are being used to solve an ever-increasing number of… “Automated Neural Network Model Training:

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“Robust Object Detection Under Dataset Shifts,” a Presentation from Arm

Partha Maji, Principal Research Scientist at Arm’s Machine Learning Research Lab, presents the “Robust Object Detection Under Dataset Shifts” tutorial at the May 2021 Embedded Vision Summit. In image classification tasks, the evaluation of models’ robustness to increased dataset shifts with a probabilistic framework is very well studied. However, object… “Robust Object Detection Under Dataset

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“Using LAON PEOPLE’s AI Machine Vision Tools to Develop Manufacturing Inspection Solutions,” a Presentation from LAON PEOPLE

Henry Sang, Director of Business Development at LAON PEOPLE, presents the “Using LAON PEOPLE’s AI Machine Vision Tools to Develop Manufacturing Inspection Solutions” tutorial at the May 2021 Embedded Vision Summit. Detecting defects in parts and products is a common need in manufacturing. Sang shows how to use LAON PEOPLE’s… “Using LAON PEOPLE’s AI Machine

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“Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge,” a Presentation from EdgeCortix

Sakyasingha Dasgupta, the founder and CEO of EdgeCortix, presents the “Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge” tutorial at the May 2021 Embedded Vision Summit. Achieving high performance and power efficiency for machine learning inference at the edge requires maintaining high chip utilization,… “Dynamic Neural Accelerator and MERA

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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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