Brian Dipert

“Processor Options for Edge Inference: Options and Trade-offs,” a Presentation from Micron Technology

Raj Talluri, Senior Vice President and General Manager of the Mobile Business Unit at Micron Technology, presents the "Processor Options for Edge Inference: Options and Trade-offs" tutorial at the May 2019 Embedded Vision Summit. Thanks to rapid advances in neural network algorithms, we’ve made tremendous progress in developing robust solutions for numerous computer vision tasks. […]

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Allied Vision Starts Serial Production of Alvium in Stadtroda

Highly automated production unit for Alvium officially inaugurated Stadtroda, Germany, June 21, 2019 – Allied Vision has installed a new highly automated production line for the series production of its revolutionary Alvium camera series at its headquarters in Stadtroda. On June 21st, the production line was inaugurated at a ceremony attended by local politicians, the

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May 2019 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Bo Zhu, CTO and Co-founder of BlinkAI Technologies, Dwight Linden, COO and Co-founder of Entropix, Austin Miller, Robotics Engineer at Robotic Materials, Ravi Sahu, CEO of Strayos, and Barbara Rosario, CTO and Co-founder of Vyrill, deliver their Vision Tank finalist presentations at the May 2019 Embedded Vision Summit. The Vision Tank, a unique spin on

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“Accelerating Smart Camera Time to Market Using a System-on-module Approach,” a Presentation from Teknique

Ian Billing, Quality Assurance Manager at Teknique, presents the "Accelerating Smart Camera Time to Market Using a System-on-module Approach" tutorial at the May 2019 Embedded Vision Summit. Bringing a vision system product to market can be costly and time-consuming. Teknique’s Oclea System-on-Module (SoM) is an off-the-shelf, integrated camera module that enables device makers to streamline

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MIPI Camera Giveaway

June 19, 2019 – Vision Components announces a special offer for students: high-end MIPI camera modules for €39.99 net. What is more, the first 100 students to order the VC MIPI Students’ Package get it for free. The deal includes a VC MIPI OV9281 camera module with a 1MP OmniVision sensor, a trigger input, a

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“Methods for Creating Efficient Convolutional Neural Networks,” a Presentation from Xnor.ai

Mohammad Rastegari, Chief Technology Officer at Xnor.ai, presents the "Methods for Creating Efficient Convolutional Neural Networks" tutorial at the May 2019 Embedded Vision Summit. In the past few years, convolutional neural networks (CNNs) have revolutionized several application domains in AI and computer vision. The biggest challenge with state-of-the-art CNNs is the massive compute demands that

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NVIDIA Brings CUDA to Arm, Enabling New Path to Exascale Supercomputing

Global HPC Leaders Join to Support New Platform June 17, 2019 — International Supercomputing Conference — NVIDIA today announced its support for Arm CPUs, providing the high performance computing industry a new path to build extremely energy-efficient, AI-enabled exascale supercomputers. NVIDIA is making available to the Arm® ecosystem its full stack of AI and HPC software —

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Xilinx Hits Milestone with First Customer Shipments of Versal ACAP

Built on 7nm process technology, Versal is the industry’s first adaptive compute acceleration platform SAN JOSE, Calif., June 18, 2019 – Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive and intelligent computing, today announced that it has shipped Versal™ AI Core series and Versal Prime series devices to multiple tier one customers through the company’s

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Researchers Enable Today’s Vehicle and Smartphone Cameras to See Around Corners

Algolux and University Scientists Develop Non-Line-of-Sight Technology That Photographs Hidden Objects Using Conventional Camera Sensors Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California – June 18, 2019 – Algolux has announced that a team of researchers from Algolux, the University of Montreal, and Princeton University has developed a new method that lets

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Embedded Vision Insights: June 18, 2019 Edition

RESOURCE-CONSTRAINED DEEP LEARNING IMPLEMENTATIONS Deep Learning on Arm Cortex-M Microcontrollers 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 result, there is increasing interest in deploying neural networks (NNs) on the types of low-power processors found 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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