How to deploy deep learning technology in vision applications

This event was recorded Wed, May 16, 2018 10:00 AM CDT{LOCAL_TZ} and is now available for on demand viewing.

Sponsored by:


    


Webcast Description:

Deep learning is an area of machine learning that enables computers to be trained and learn. Deep learning—which can be accomplished through architectures such as artificial neural networks—imitates the way the human brain works by processing data and creating patterns for use in decision making.
While this has been as big a buzzword in the market as any over the past few years, how exactly can it be used in vision, and how will it impact the market going forward? In a free webcast on May 16, Tom Brennan, President, Artemis Vision, will discuss the use of artificial intelligence, machine learning, and deep learning technologies in vision. He will touch on how these technologies work, what they can do, what types of applications they can be deployed in, and how they could improve processes across various industries.

Additionally, he will discuss the components and products necessary to deploy deep learning and machine learning technologies, along with some of the products and services available to do so. The webcast will conclude with a Q&A period. 


Presented by:




Tom Brennan
President
Artemis Vision

Tom Brennan is President of Artemis Vision a machine vision software and integration company headquartered in Denver, CO with regional offices in Dallas and Charlotte.  The company founded in 2010 has been entirely funded by successful customer projects and is leading development into Vision Guided Robotics, Parallel Computation for Vision, 3-D Vision and Traceability.  The company specializes in innovative approaches to industrial, medical and scientific vision problems.


 Watch on any mobile device – phone or tablet - or listen while you drive to work!



Have you recently registered for a Vision Systems Design webcast? If so, simply enter your email address and click Submit. Then you will only need to answer a few questions specific to this event.
Complete this form to register for the webcast.   (* indicates required field)
  • Yes
  • No