Brian Dipert

CRISP-ML_Objective_Tuning_Lab_Setup

Algolux Introduces Latest Release of CRISP-ML Image Quality Tuning Automation Software

News /

Enhancements to CRISP-ML capabilities significantly improve camera tuning effectiveness AutoSens Conference, Brussels, Belgium – September 18, 2018 – Algolux, the leading provider of machine learning optimization platforms for autonomous vision, today announced the latest release of its award-winning CRISP-ML software platform that automates the challenging and manually intensive task of camera image quality (IQ) tuning […]

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Embedded Vision Insights: September 18, 2018 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, Lattice Semiconductor will deliver the free webinar “Architecting Always-On, Context-Aware, On-Device AI Using Flexible Low-power FPGAs” on October 30, 2018 at 9 am Pacific Time, in partnership with the Embedded Vision Alliance. The webinar will be presented by Deepak Boppana, the company’s Senior Director of Marketing, and Gordon Hands,

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“Leveraging Cloud Computer Vision for a Real-time Consumer Product,” a Presentation from Cocoon Cam

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

Pavan Kumar, Co-founder and CTO at Cocoon Cam, presents the "Leveraging Cloud Computer Vision for a Real-time Consumer Product" tutorial at the May 2018 Embedded Vision Summit. The capabilities of cloud computing are expanding rapidly. At the same time, cloud computing costs are falling. This makes it increasingly attractive to implement computer vision in the

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OmniVision and Leopard’s New Automotive HD Viewing Camera Module Reference Design Fits on Single PCB

News /

Joint Reference Design With Excellent Image Quality Reduces Cost, Space, Power and Heat While Accelerating Time to Market for Rearview and Surround-view Camera Systems SANTA CLARA, Calif. – Sept. 17, 2018 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced its high definition (HD) automotive camera module reference design, developed

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DLC-18-chart

The Evolution of AI Applications Is Driving the Need for New Chipset Solutions

Market Analysis /

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. The AI chipset market landscape continues to change every day, with more and more companies jumping into the market. By Tractica’s estimation, there are more than 70 startups, blue chip companies, cloud providers, and semiconductor companies

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“Introduction to LiDAR for Machine Perception,” a Presentation from Deepen AI

Algorithms & Models, Edge AI and Vision Alliance, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Mohammad Musa, the Founder and CEO of Deepen AI, presents the “Introduction to LiDAR for Machine Perception” tutorial at the May 2018 Embedded Vision Summit. LiDAR sensors use pulsed laser light to construct 3D representations of objects and terrain. Recently, interest in LiDAR has grown, for example for generating high-definition maps required for autonomous vehicles

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“Intelligent Consumer Robots Powering the Smart Home,” a Presentation from iRobot

Algorithms & Models, Edge AI and Vision Alliance, Robotics, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Mario Munich, Senior Vice President of Technology at iRobot, presents the “Intelligent Consumer Robots Powering the Smart Home” tutorial at the May 2018 Embedded Vision Summit. The Internet Of Things (IoT) has rapidly developed in the past few years, enabled by affordable electronics components and powerful embedded microprocessors, ubiquitous internet access and WiFi in the

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NVIDIA Announces TensorRT 5 and TensorRT Inference Server

Uncategorized /

September 12, 2018 – At GTC Japan, NVIDIA announced the latest version of the TensorRT high-performance deep learning inference optimizer and runtime. TensorRT 5 provides support for the new Turing architecture, new optimizations and INT8 APIs that achieves up to 40x faster inference over CPU-only platforms. This latest version dramatically speeds up inference of recommenders,

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NVIDIA DGX-2 AI Supercomputer and New Tesla T4 Set Image Recognition Records for Training and Inference

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September 12, 2018 – Earlier this year, we talked about performance breakthroughs enabled by two new technologies we developed. Related to data augmentation and tensor parameter interleaving, these technologies enabled a single Tesla V100 GPU to do a ResNet-50 training run in just under 24 hours (1,350 images/second). We also discussed how these same technologies enabled

NVIDIA DGX-2 AI Supercomputer and New Tesla T4 Set Image Recognition Records for Training and Inference 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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