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April 10, 2018

Upcoming TensorFlow Training Classes In San Jose, Seattle, New York City, Boston, and Santa Clara

Are you an engineer who wants to design intelligent computer vision systems that learn from complex or large-scale datasets? Get the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, one of today’s most popular frameworks for deep learning. Whether you want to get a rapid hands-on introduction to TensorFlow in our single-day course, or do a deep-dive intensive with our three-day program, we can help you get the skills you need.
January 18, 2018

Intel Delivers Best-in-Class Depth Sensing for Makers, Educators and Developers with Intel RealSense D400 Depth Camera Series

Today, Intel began shipping two new Intel® RealSense™ D400 Depth Cameras from the next-generation Intel RealSense D400 product family: the D415 and D435, adding 3D capabilities to any prototype development or end user-ready device or machine.
January 17, 2018

Google’s AutoML Vision Lets You Train Custom Machine Learning Models Without Having to Code

AutoML Vision is a new service that helps developers, including those with no ML expertise, build custom image recognition models.

January 17, 2018

Free Webinar Explores Developing Vision Applications Using Google's TensorFlow Deep Learning Framework

On January 17, 2018 at 9 am PT (noon ET), Pete Warden, Google research engineer and and the company's technology lead on the mobile and embedded TensorFlow team, will present a free one-hour webinar, "An Introduction to Developing Vision Applications Using Deep Learning and Google's TensorFlow Framework," organized by the Embedded Vision Alliance. Here's the description, from the event registration page:
January 10, 2018

Introducing the CVPR 2018 Learned Image Compression Challenge

Even greater improvements can be obtained by bringing this research challenge to the attention of the larger machine learning community.

December 20, 2017

Khronos Group Releases NNEF 1.0 Standard for Neural Network Exchange

December 20, 2017 – Beaverton, OR – The Khronos™ Group, an open consortium of leading hardware and software companies creating advanced acceleration standards, announces the release of the Neural Network Exchange Format (NNEF™) 1.0 Provisional Specification for universal exchange of trained neural networks between training frameworks and inference engines.
December 20, 2017

Positions Available for Computer Vision Engineers at DEKA Research

Legendary inventor Dean Kamen founded DEKA to focus on medical innovations aimed to improve lives around the world. Dean continues to push DEKA to be a place where no idea seems too big and where creativity and crazy cool gizmos reign supreme. DEKA's team of over five hundred professionals apply their engineering, design, manufacturing and quality expertise to make DEKA a hot spot for creating innovative solutions and advanced technologies.
December 12, 2017

TFGAN: A Lightweight Library for Generative Adversarial Networks

Training a neural network usually involves defining a loss function, which tells the network how close or far it is from its objective.

December 9, 2017

Apple Commits 'Turi Create' Machine Learning Development Tool to GitHub

This new machine learning framework is designed to help developers build models for apps running on Apple's major operating systems.

December 8, 2017

Google Launches Cloud Video Intelligence API Out of Beta

The updates are aimed at giving customers new capabilities for making their applications smarter using prebuilt machine learning systems.