Brian Dipert

“Computer Vision in Cars: Status, Challenges, and Trends,” a Presentation from videantis

Marco Jacobs, Vice President of Marketing at videantis, presents the "Computer Vision in Cars: Status, Challenges, and Trends" tutorial at the May 2016 Embedded Vision Summit. Just as horse carriages were replaced by cars in the 1920s, human operators in our cars will be replaced by electronics in the 2020s. The benefits are tremendous: self-driving […]

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Is the Future of Machine Vision Already Here? Business Insights from the 2016 Embedded Vision Summit

This article was originally published by Embedded Vision Alliance consultant Dave Tokic. It is reprinted here with Tokic's permission. My biggest “aha moment” out of many during the Embedded Vision Summit 2016 came right at the beginning. I was a front row participant as moderator of the 2-day Business Insights track and have been closely

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“Computer Vision 2.0: Where We Are and Where We’re Going,” a Presentation from the Embedded Vision Alliance

Jeff Bier, founder of the Embedded Vision Alliance, presents the "Computer Vision 2.0: Where We Are and Where We're Going" plenary session at the May 2016 Embedded Vision Summit. Computer vision has rapidly transitioned from a research topic with few commercial applications to a mainstream technology with applications in virtually every sector of our economy.

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Embedded Vision Insights: May 24, 2016 Edition

In this edition of Embedded Vision Insights: New Embedded Vision Summit Content Recognition and Classification in Augmented Reality Deep Learning and Computer Vision Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, I’m happy to announce the first two (of what will end up being more

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“Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras,” a Presentation from NVIDIA

Orazio Gallo, Senior Research Scientist at NVIDIA, presents the "Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras" tutorial at the May 2016 Embedded Vision Summit. Today's digital cameras, even at the entry-level, produce pictures with quality comparable to that of high-end cameras of a decade ago. Image processing and computational photography algorithms play

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car

FotoNation Partners With Kyocera to Develop Intelligent Automotive Camera Technology

Jointly Developed Solutions to Enable Next Generation of Automotive Vision Systems May 17, 2016 04:05 PM Eastern Daylight Time–SAN JOSE, Calif.–(BUSINESS WIRE)–FotoNation Limited, a wholly owned subsidiary of Tessera Technologies, Inc. (NASDAQ:TSRA) and the leading provider of computational imaging and computer vision solutions for consumer and enterprise applications, has partnered with Kyocera Corporation (NYSE:KYO) (TOKYO:6971)

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VisionSystemsDesign

Deep Learning for Vision Processing: Google’s Perspective

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. In a column published two months ago, I discussed the compelling potential and increasingly proven reality of convolutional neural networks and other deep learning techniques for solving a variety of longstanding computer vision challenges. And

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apical

ARM Acquires Apical – a Global Leader in Imaging and Embedded Computer Vision

Cambridge, UK,May 18, 2016 – ARM has acquired Apical, a global leader in imaging and embedded computer vision technology that will allow next generation devices to understand and act intelligently on information from their environment. Apical is one of the UK’s fastest-growing technology companies* and its advanced imaging products are used in more than 1.5

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“Large-Scale Deep Learning for Building Intelligent Computer Systems,” a Keynote Presentation from Google

Jeff Dean, Senior Fellow at Google, presents the "Large-Scale Deep Learning for Building Intelligent Computer Systems" keynote at the May 2016 Embedded Vision Summit. Over the past few years, Google has built two generations of large-scale computer systems for training neural networks, and then applied these systems to a wide variety of research problems that

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May 2016 Embedded Vision Summit Introductory Presentation (Day 2)

Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2016 Embedded Vision Summit on May 3, 2016 (Day 2). Bier provides an overview of the embedded vision market opportunity, challenges, solutions and trends, in the context of reviewing the presentation highlights and take-aways from the previous day. He also introduces the

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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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