Noah Clemons, Staff Technical Consulting Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Clemons demonstrates the company's Performance Analysis Toolkit, which helps developers optimize their computer vision algorithms.
Intel Demonstration of Its Performance Analysis Toolkit Read More +
Chris Osterwood, Chief Technical Officer at Carnegie Robotics, presents the "How to Choose a 3D Vision Technology" tutorial at the May 2017 Embedded Vision Summit. Designers of autonomous vehicles, robots, and many other systems are faced with a critical challenge: Which 3D perception technology to use? There are a wide variety of sensors on the
“How to Choose a 3D Vision Technology,” a Presentation from Carnegie Robotics Read More +
Artificial intelligence (AI) and deep learning (DL) promise to transform how people engage with the world and how businesses operate in order to make smarter decisions, and Intel® technology is enabling this transformation. Today, Intel is highlighting how its AI technology is being leveraged by one of the world’s largest cloud service providers to run
Intel Delivers ‘Real-Time AI’ in Microsoft’s New Accelerated Deep Learning Platform Read More +
AI-powered software is easily deployed in existing infrastructure, where it rapidly searches archived video or live streams to identify objects or faces Aliso Viejo, California – August 22, 2017, BrainChip Holdings Ltd. (ASX: BRN) ("BrainChip" or "the Company"), a leading developer of software and hardware accelerated solutions for advanced artificial intelligence (AI) and machine learning applications,
Tim Hartley, Senior Product Manager at ARM, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Hartley demonstrates the company's Spirit computer vision accelerator, acquired when ARM bought Apical in mid-2016. The demo uses two cameras feeding into individual Spirit object detection and localization hardware accelerators. Each
ARM Demonstration of the Spirit Object Detection and Localization Accelerator Read More +
Gian Marco Iodice, Software Engineer at ARM, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Iodice presents a demonstration of Collective Knowledge, developed by partner company Dividiti. The demo supports several popular models for object classification and detection, implemented in Caffe or TensorFlow, and running on
ARM Demonstration of Collaboratively Optimizing Deep Learning Applications Read More +
Xilinx's Developer Forum will take place on September 13, 2017 in Santa Clara, California, with other worldwide locations to follow. From the event overview page: Why Attend? Connect Network directly with the Xilinx expert team and connect with your fellow user community members Learn Increase time to market through real-life use cases and technical content
Petronel Bigioi, General Manager at FotoNation, presents the "Ultra-Efficient VPU: Low-power Deep Learning, Computer Vision and Computational Photography" tutorial at the May 2017 Embedded Vision Summit. This talk focuses on bringing intelligence to the edge to enable local devices to see and hear. It explores the power-consumption-vs.-flexibility dilemma by examining hard-coded and programmable architectures. It
Mark Bünger, VP of Research at Lux Research, presents the "Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry" tutorial at the May 2017 Embedded Vision Summit. The auto and telecom industries have been dreaming of connected cars for twenty years, but their results have been mediocre and mixed. Now, just
LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss an upcoming full-day,
Embedded Vision Insights: August 18, 2017 Edition 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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