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Brian Dipert

May 2018 Embedded Vision Summit Vision Entrepreneurs’ Panel

Algorithms, Edge AI and Vision Alliance, Processors, Sensors, Software, Summit 2018, Tools, Videos /

Nik Gagvani, President of CheckVideo, moderates the Vision Entrepreneurs’ Panel at the May 2018 Embedded Vision Summit. Other panelists include László Kishonti, CEO of AImotive; Radha Basu, CEO of iMerit; and Gary Bradski, CTO and Co-founder of Arraiy.com, and CEO and Founder of OpenCV.org. What can we learn from leaders of successful vision-based start-ups? The […]

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“Implementing Image Pyramids Efficiently in Software,” a Presentation from Polymorphic Technologies

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2018, Tools, Videos /

Michael Stewart, Proprietor of Polymorphic Technologies, presents the “Implementing Image Pyramids Efficiently in Software,” tutorial at the May 2018 Embedded Vision Summit. An image pyramid is a series of images, derived from a single original image, wherein each successive image is at a lower resolution than its predecessors. Image pyramids are widely used in computer

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Without Safety, There Is No Future for Autonomous Driving

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News highlights: Arm leading the charge for safety to accelerate mass-market autonomous driving Arm Safety Ready: A safety head start for Arm silicon partners developing automotive SoCs Split-Lock: Game-changing safety innovation available for first time in application processors Optimized for 7nm, Cortex-A76AE is the world’s first autonomous-class processor with integrated safety, high-performance, leading-efficiency and security

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“NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI,” a Presentation from NovuMind

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Miao (Mike) Li, Vice President of IC Engineering at NovuMind, presents the “NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI” tutorial at the May 2018 Embedded Vision Summit. Deep convolutional neural networks (DCNNs) are driving explosive growth of the artificial intelligence industry. Effective performance, energy efficiency and accuracy are all significant challenges in

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Lattice Expands Ultra-Low Power sensAI Stack with Optimized Solutions for Always-On, On-Device AI

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CNN accuracy with flexible milliwatt FPGA solutions; New reference designs for human presence and hand gesture recognition with scalable performance/power New CNN Compact Accelerator IP for iCE40 UltraPlus™ FPGAs with support for 16-bit and 1-bit quantization for improved performance, power, and accuracy tradeoffs Enhancement to CNN Accelerator IP for ECP5™ FPGAs with up to 2x

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Machine Vision In All Its Facets: MVTec at VISION 2018

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Introduction of the new HALCON 18.11 and MERLIC 4 software releases Presentation of numerous new features in the areas of embedded vision, deep learning, and deflectometry Live demos and expert presentations bring machine vision right up close Munich, September 25, 2018 – MVTec Software GmbH (www.mvtec.com), the leading provider of modern machine vision software, presents

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“The Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI,” a Presentation from Horizon Robotics

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Kai Yu, Founder and CEO of Horizon Robotics, presents the “Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI” tutorial at the May 2018 Embedded Vision Summit. As the nature of computation changes from logic to artificial intelligence, there’s a revolution happening at the edge. A new type of processor is required for this post-Moore’s-law

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OmniVision Announces Cost-Effective, High-Resolution Global Shutter Image Sensors for Machine Vision Applications

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2-megapixel and 1.48-megapixel Sensors Cost-Effectively Enable Consumer and Industrial Computer Vision Applications With Precise Color and Near-Infrared Imaging, and Low Power Consumption SANTA CLARA, Calif. – Sept. 24, 2018 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced two new high-resolution additions to its family of global shutter image sensors—the

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Artificial Intelligence Edge Device Shipments to Reach 2.6 Billion Units Annually by 2025

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This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. In the last 6 years,

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“Deep Learning on Arm Cortex-M Microcontrollers,” a Presentation from Arm

Algorithms, Arm, Processors, Software, Summit 2018, Tools, Videos /

Vikas Chandra, Senior Principal Engineer and Director of Machine Learning at Arm, presents the “Deep Learning on Arm Cortex-M Microcontrollers” tutorial at the May 2018 Embedded Vision Summit. Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a

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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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