Brian Dipert

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Basler Presents Its Range of Industry 4.0 Services at HANNOVER MESSE 2019

Basler, News /

Industrial cameras, embedded vision, deep learning – Basler AG shows high-performance image processing for networked factories and numerous other applications. Ahrensburg, 14.02.2019 – Basler AG from Ahrensburg, international leader in producing industrial cameras and a specialist in Computer Vision, presents solutions for Industry 4.0 in the areas of standard image processing components and embedded vision […]

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Xnor.ai Introduction to the Company, Its Technology and Its Products

Videos, Xnor.ai /

In this product demonstration delivered at the January 2019 Vision Industry and Technology Forum. Xnor.ai gives an introduction to the company and its technology and products. Xnor.ai enables computer vision directly on resource-constrained devices with no loss in speed or accuracy. Unlike traditional AI that either runs in the cloud or requires expensive hardware such

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Enter the 2019 Vision Tank Competition and See How Your Visionary Product Ranks

Edge AI and Vision Alliance, News /

Are you an early-stage start-up company developing a new product or service incorporating or enabling computer vision or visual AI? Do you want to raise awareness of your company and it products with industry experts, investors and entrepreneurs? The 4th annual Vision Tank competition offers startup companies the opportunity to present their new products and

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Xnor.ai Unveils First Battery-free, Solar AI Technology, Enabling a New Wave of Edge AI Computing

News, Xnor.ai /

Xnor pioneers new machine learning and computer architecture approach to deliver an efficient AI technology that operates independently of the cloud or a power source – opening new possibilities to scale AI across industries, societies and to even the most remote geographies February 13, 2019 09:32 AM Eastern Standard Time–SEATTLE–(BUSINESS WIRE)–Xnor.ai (Xnor), the company that

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Intel Demonstration of RealSense Cameras for Visual Navigation of Wheeled Autonomous Robots

Intel, Robotics, Videos /

Roy Karunakaran, Director of Marketing for RealSense at Intel, delivers a product demonstration at the January 2019 Vision Industry and Technology Forum. Specifically, Karunakaran demonstrates the use of the Intel® RealSense™ Cameras T265 and D435 in wheeled autonomous robots. The RealSense Camera T265 is used to enable Visual SLAM, while the D435 enables obstacle avoidance.

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Intel Introduction to the RealSense Tracking Camera T265

Intel, Sensors and Cameras, Videos /

Roy Karunakaran, Director of Marketing for RealSense at Intel, delivers a product demonstration at the January 2019 Vision Industry and Technology Forum. Specifically, Karunakaran introduces the Intel® RealSense™ T265 camera, which provides off-the-shelf tracking capabilities using Visual SLAM (V-SLAM) and can be used in numerous embedded applications, such as robotics, drones and augmented reality. The

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Using Nsight Compute or Nvprof to Show Mixed Precision Use in Deep Learning Models

Blog Posts, NVIDIA /

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Mixed precision combines different numerical precisions in a computational method. The Volta and Turing generation of GPUs introduced Tensor Cores, which provide significant throughput speedups over single precision math pipelines. Deep learning networks can be trained with

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Samasource Demonstration of Its Newly Released Technology for 3D Point Cloud Annotation

Samasource, Videos /

Steve Allen, Account Executive for Automotive Solutions at Samasource, delivers a product demonstration at the January 2019 Vision Industry and Technology Forum. Specifically, Allen demonstrates the company's newly released technology for 3D point cloud annotation. Samasource has been providing data annotation and labeling since 2012, when the team created training data for Microsoft by tagging

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Introducing INT8 Quantization for Fast CPU Inference Using OpenVINO

Blog Posts, Intel /

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Deep learning framework optimizations and tools that streamline deployment are advancing the adoption of inference applications on Intel® platforms. Reducing model precision is an efficient way to accelerate inference on processors that support low precision math, with

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Nvidia Is Moving Faster Than the Competition in the AI Chipset Industry

Market Analysis, NVIDIA /

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Since 2015, more than 70 companies have entered the AI chipset market and more than 100 chip starts have been announced. All of them are trying to tackle the AI algorithm acceleration problem using different techniques.

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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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