TECHNOLOGIES

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

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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CES 2021 – The More than Moore Pivot from Intel Mobileye

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Yole Développement (Yole) has been monitoring the trajectories of Advanced Driver Assist (ADAS) and Autonomous Vehicle (AV) players for many years and has recently published Sensing and computing for ADAS 2020 and Sensors for

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

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

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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Free Webinar Explores High Performance, Energy-efficient, Cost-effective AI Processing

On March 11, 2021 at 9 am PT (noon ET), Christian Graber, Director of Platform Architecture at GrAI Matter Labs, will present the free half-hour webinar “Brain-inspired Processing Architecture Delivers High Performance, Energy-efficient, Cost-effective AI,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: If a picture is

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New Heights for High Dynamic Range

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

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

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

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

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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