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Intel and Mobileye Offer Formula to Prove Safety of Autonomous Vehicles

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Speaking today at the World Knowledge Forum in Seoul, South Korea, professor Amnon Shashua, Mobileye CEO and Intel senior vice president, offered the autonomous driving industry a way to prove the safety of autonomous vehicles. His solution, published in an academic paper and a layman’s summary paper, provides a formal, mathematical formula to ensure that […]

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Intel Kick-Starts Mobileye Integration with Plans to Build Fleet of 100 L4 Autonomous Test Cars

Intel /

With the completion of the tender offer of Mobileye, Intel is poised to accelerate its autonomous driving business from car-to-cloud. Mobileye, an Intel Company, will start building a fleet of fully autonomous (level 4 SAE) vehicles for testing in the United States, Israel and Europe. The first vehicles will be deployed later this year, and

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“Designing Deep Neural Network Algorithms for Embedded Devices,” a Presentation from Intel

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Minje Park, Software Engineering Manager at Intel, presents the "Designing Deep Neural Network Algorithms for Embedded Devices" tutorial at the May 2017 Embedded Vision Summit. Deep neural networks have shown state-of-the-art results in a variety of vision tasks. Although accurate, most of these deep neural networks are computationally intensive, creating challenges for embedded devices. In

“Designing Deep Neural Network Algorithms for Embedded Devices,” a Presentation from Intel Read More +

“Designing Deep Neural Network Algorithms for Embedded Devices,” a Presentation from Intel

Algorithms, Intel, Processors, Software, Tools, Videos /

Minje Park, Software Engineering Manager at Intel, presents the "Designing Deep Neural Network Algorithms for Embedded Devices" tutorial at the May 2017 Embedded Vision Summit. Deep neural networks have shown state-of-the-art results in a variety of vision tasks. Although accurate, most of these deep neural networks are computationally intensive, creating challenges for embedded devices. In

“Designing Deep Neural Network Algorithms for Embedded Devices,” a Presentation from Intel Read More +

“How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World,” a Presentation from Intel

Algorithms, Intel, Processors, Sensors, Software, Tools, Videos /

Anders Grunnet-Jepsen, CTO and Director of Advanced Technology in the Perceptual Computing Group at Intel, presents the "How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World" tutorial at the May 2017 Embedded Vision Summit. Intel’s latest RealSense technology is specifically designed to enable highly sophisticated, low-cost, small

“How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World,” a Presentation from Intel Read More +

“Vision for All?,” a Presentation from Intel

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Jeff McVeigh, Vice President in the Software and Services Group and General Manager of visual computing products at Intel, presents the "Vision for All?" tutorial at the May 2017 Embedded Vision Summit. So, you’ve decided to incorporate visual intelligence into your device or application. Will you need a team of computer vision PhDs working for

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“Making OpenCV Code Run Fast,” a Presentation from Intel

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Vadim Pisarevsky, Software Engineering Manager at Intel, presents the "Making OpenCV Code Run Fast" tutorial at the May 2017 Embedded Vision Summit. OpenCV is the de facto standard framework for computer vision developers, with a 16+ year history,  approximately one million lines of code, thousands of algorithms and tens of thousands of unit tests. While

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“The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon,” a Presentation from Intel’s Movidius Group

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Cormac Brick, Director of Machine Intelligence for Intel's Movidius Group, presents the "The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon" tutorial at the May 2017 Embedded Vision Summit. Deep learning techniques are gaining in popularity for many vision tasks. Will they soon dominate every facet of embedded vision? Cormac Brick from

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Helping Out Reality

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This article was originally published at Intel's website. It is reprinted here with the permission of Intel. One day was a summer day like any other summer day. The next, everything had changed. Like swarms, like zombies they came, walking randomly in public places, staring lost into their smart phones, growing increasingly agitated. And then,

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Vision Processing Opportunities in Virtual Reality

Algorithms, Articles, Edge AI and Vision Alliance, Entertainment, Infineon, Intel, onsemi, Processors, Sensors, Software, Technical Articles, videantis /

VR (virtual reality) systems are beginning to incorporate practical computer vision techniques, dramatically improving the user experience as well as reducing system cost. This article provides an overview of embedded vision opportunities in virtual reality systems, such as environmental mapping, gesture interface, and eye tracking, along with implementation details. It also introduces an industry alliance

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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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