Brian Dipert

Now Available: Alvium Camera Kit for NVIDIA Jetson Nano Developer Kit

Allied Vision Releases First Alvium CSI-2 Camera Kit for Easy Integration Stadtroda, Germany, April 1, 2020 – To make the integration of Alvium CSI-2 cameras into any system as easy as possible, Allied Vision is releasing various Alvium Camera Kits consisting of an Alvium CSI-2 camera, a set of accessories and a ready to use […]

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Perceive Corporation Launches to Deliver Data Center-Class Accuracy and Performance at Ultra-Low Power for Consumer Devices

Introduces breakthrough Ergo™️ edge inference processor, delivering 4+ TOPS sustainedand 55 TOPS/W, capable of processing large neural networks in 20mW Selected by two of the leading providers of smart connected camera and security products to integrate advanced neural network applications into future products SAN JOSE, Calif.—March 31, 2020—Perceive Corporation, an edge inference solutions company, today

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Dust Protection – A New MED Feature Set for Basler MED ace Cameras

The camera manufacturer Basler is adding the Dust Protection MED Feature Set to four of its Basler MED ace camera models. The models, designed for customers with special cleanliness standards in their Medical & Life Sciences applications, are available now.  Ahrensburg, March 31, 2020 – Basler is adding the new Dust Protection MED Feature Set

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Basler Reports Business Figures for 2019: Sales and Orders Above Previous Year’s Results

Company meets targets for last year and gives first forecast for 2020 Ahrensburg, March 30, 2020 – BASLER AG, the leading global manufacturer of industrial vision components, is releasing the audited annual report for fiscal year 2019 today. In a stagnating market environment in 2019 the group’s sales stabilized on the high level of the

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Application Processor Unit (APU) Quarterly Market Monitor

Application processor: All-in-one solution for the computing challenges of the next decade MARKET DYNAMICS: 2019 APU market closed with total revenue of $31B. Seasonally weak Q1-20 expected to remain above $7B even as COVID-19 stresses the supply chain. Cost & ASP declines at ~20% per year through 2021; slowing to ~10% per year for 2022+.

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Edge AI and Vision Insights: March 31, 2020 Edition

MEDICAL APPLICATIONS Deep Learning for Medical Imaging: COVID-19 (Novel Coronavirus) Detection In this guest blog post published by MathWorks, Dr. Barath Narayanan from the University of Dayton Research Institute, along with his colleague Dr. Russell C. Hardie from the University of Dayton, provide a detailed description of how to implement a deep learning-based technique for

Edge AI and Vision Insights: March 31, 2020 Edition Read More +

Synopsys Online Embedded Vision Sessions: Navigating Intelligent Vision at the Edge

In these online sessions from Synopsys’ recent workshop, you’ll learn about the latest trends in artificial intelligence and computer vision and how to use embedded vision technologies to navigate from concept to successful silicon. You’ll get a deep dive into deep learning, embedded vision, and standards-based programming for automotive, mobile, surveillance, and consumer applications. Below

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Huiying Medical: Helping Combat COVID-19 with AI Technology

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The COVID-19 coronavirus, since its initial outbreak in Wuhan, China, has quickly become a global pandemic, as declared by the World Health Organization (WHO). The number of confirmed cases has exceeded 577,531 globally as of March 27,

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“OpenCV: Past, Present and Future,” a Presentation from OpenCV.org

Gary Bradski, the President and CEO of OpenCV.org, delivers the presentation “OpenCV: Past, Present and Future” at the Edge AI and Vision Alliance’s March 2020 Vision Industry and Technology Forum. Bradski shares the latest developments in the OpenCV open source library for computer vision and deep learning applications, as well as where OpenCV is heading.

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Maximize CPU Inference Performance with Improved Threads and Memory Management in Intel Distribution of OpenVINO Toolkit

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The popularity of convolutional neural network (CNN) models and the ubiquity of CPUs means that better inference performance can deliver significant gains to a larger number of users than ever before. As multi-core processors become the norm,

Maximize CPU Inference Performance with Improved Threads and Memory Management in Intel Distribution of OpenVINO Toolkit Read More +

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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