Edge AI and Vision Alliance

“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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“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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“MLPerf: An Industry Standard Performance Benchmark Suite for Machine Learning,” a Presentation from Facebook and Arizona State University

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Carole-Jean Wu, Research Scientist at Facebook AI Research and an Associate Professor at Arizona State University, presents the “MLPerf: An Industry Standard Performance Benchmark Suite for Machine Learning” tutorial at the September 2020 Embedded Vision Summit. The rapid growth in the use of DNNs has spurred the development of numerous specialized processor architectures and software

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

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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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Autonomous Vehicle Simulation Solution Market – A Global Market and Regional Analysis

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The global automotive industry is undergoing a period of wide-ranging and transformative changes with a shift in consumer behavior as well as an increase in the implementation of stringent environmental regulations. Factors such as rising safety and security concerns, increasing demand for a reliable transportation system, and the advent of innovative trends, such as the

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“Using Learning at the Edge to Deliver Business Value,” a Presentation from LG Electronics

Edge AI and Vision Alliance, Summit 2020, Videos /

Vera Serdiukova, Product Manager in the Advanced AI team at LG Electronics, presents the “Using Learning at the Edge to Deliver Business Value” tutorial at the September 2020 Embedded Vision Summit. Learning at the Edge is the next frontier of Edge AI. Unlike inference, so far it has stayed on the fringe of industry focus,

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Optical Sensor Market is Projected to Reach USD 30 Billion by 2026

Edge AI and Vision Alliance, Market Analysis, Sensors and Cameras /

According to a recent study from market research firm Global Market Insights, Optical sensor market are broadly utilized in consumer electronic devices for the detection of events, changes, or input signals and pass the information to other components. Increasing adoption of optical sensor for biometric recognition, high-speed detection, device authentication, and other security application in

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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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