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Edge AI and Vision Insights: April 14, 2020 Edition

LETTER FROM THE EDITOR Dear Colleague, Today hundreds of companies are developing embedded vision and visual AI building-block technologies—such as processors, algorithms and camera modules—and thousands of companies are creating systems and solutions incorporating these technologies. With so many companies in the space, and new companies entering constantly, it has become difficult to find the […]

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Accelerating WinML and NVIDIA Tensor Cores

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Every year, clever researchers introduce ever more complex and interesting deep learning models to the world. There is of course a big difference between a model that works as a nice demo in isolation and a model that

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BrainChip Announces Wafer Fabrication of the Akida System-on-Chip

Aliso Viejo, California – April 8, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power, high performance AI technology announced that the Company and Socionext Inc., its development, manufacturing and commercial partner, have provided its wafer fabrication partner, TSMC, with the completed Akida design files and the Multi-Project Wafer (MPW) is

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A Breath of Fresh Air: How GE Healthcare is Accelerating Pneumothorax Detection with AI

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Medical imaging data contains the power to save lives. Every tiny sliver of an image potentially holds the key to hugely important breakthroughs in treatment. And this year alone, hospitals produced over 50 petabytes of data, with

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Machine Vision: MVTec Presents New and Optimized Features with HALCON 20.05

Rapid access to product improvements, thanks to short release cycles Deep learning training right on the CPU To be released on May 20, 2020 Munich, April 08, 2020 – MVTec Software GmbH (www.mvtec.com), the leading international provider of machine vision software, will launch a new Progress release of its standard software HALCON on May 20, 2020.

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CEVA Announces Industry’s First High Performance Sensor Hub DSP Architecture

SensPro™ family serves as hub for processing and fusing of data from multiple sensors including camera, Radar, LiDAR, Time-of-Flight, microphones and inertial measurement units Highly-configurable and self-contained architecture brings together scalar and parallel processing for floating point and integer data types, as well as deep learning training and inferencing MOUNTAIN VIEW, Calif., – April 7,

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BrainChip Introduces Company’s Event-Based Neural-Network IP and NSoC Device at Linley Processor Virtual Conference

AKD1000 is the first event-based processor for Edge AI with ultra-low power consumption and continuous learning APRIL 2, 2020–SAN FRANCISCO–(BUSINESS WIRE)– BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high performance edge AI technology, today announced that it will be introducing its AKD1000 to audiences at the Linley Fall Processor Virtual Conference

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Sensors Are At the Heart Of the Robotic Mobility Disruption

OUTLINES: A new generation of robotic vehicle is bringing MaaS to the masses. High end sensor technology and raw computing power is at the center of this ongoing market disruption. Sensors for robotic vehicles will become industries of their own: 51% CAGR expected for the next 15 years. “Disruption is coming to our streets and

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Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Starting with TensorRT 7.0,  the Universal Framework Format (UFF) is being deprecated. In this post, you learn how to deploy TensorFlow trained deep learning models using the new TensorFlow-ONNX-TensorRT workflow. Figure 1 shows the high-level workflow of TensorRT.

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Vuforia Chalk—Telemedicine For the Industry

PTC is offering a free Remote Assistance with Augmented Reality to Help Manufacturers During the COVID19 Crisis The Coronavirus, COVID-19, has forced many of us, maybe most of us to work at home. For many workers, even some working in the tech industry, performing specific tasks at home can be difficult or require a special

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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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