elasticon

Elastic{ON} 17

Just finished with a busy week at Elastic{ON} 17 where we had a great demo of our latest painting robot. One of the best things to come of these exhibitions is the interaction with the audience. We can get better sense of what works as part of the exhibit as well as what doesn't.

Our whole exhibition had two parts.  The first was a live interactive demo where one of our robots was tracking a live elastic index of conference attendee's wireless connections and painting them in real time. The second was an exhibition of the cloudpainter project where Hunter and I are trying to teach robots to be creative. 

A wall was set up at the conference where we hung 30 canvases. Each 20-30 minutes, a 7Bot robotic arm painted dots on a black canvas. The location of the dots were taken from the geolocation of 37 wireless access points within the building.

There are lots of ways to measure the success of an exhibit like this. The main reason we think that it got across to people, though, was the shear amount of pictures and posts to social media that was occurring. There was a constant stream of interested attendees and questions.

Also, the exhibition's sponsors and conference organizers appeared to be pleased with the final results as well as all the attention the project was getting. At the end of two days, approximately 6,000 dots had been painted on the 30 canvases..

Personal highlight for me was fact that Hunter was able to join me in San Francisco. We had lots of fun at conference and were super excited to be brought on stage during the conference's closing Q&A with the Elastic Founders.

Will leave you with a pic of Hunter signing canvases for some of our elastic colleagues.

cloudpainter at Elastic{ON} 17

Less than half an hour ago I wrote about how I am on my way the first annual TensorFlow Dev Summit at Google HQ. There is more. While in Mountain View I will also be stopping by elastic HQ to discuss an upcoming booth that cloudpainter has been invited to have at Elastic{ON} 2017.

For the booth I have prepped 5 recreations of masterpieces as well as a new portrait of Hunter based on many of my traditional AI applications.  Cool thing about this data set is that I have systematically recorded every brush stroke that have gone into the masterpieces and stored them in an elasticsearch database.

Why?  I don't know. Everything is data - even art.  And I am trying to reverse engineer the genius of artists such as da Vinci, Van Gogh, Monet, Munch, and Picasso.  I have no idea what it will tell us about their art work, or how it will help us decipher the artistry. I am just putting the data out there for the data science community to help me figure it out.  The datasets of each an every stroke will be revealed during Elastic{ON} on March 7th.  Until then here is a sneak peak at the paintings my robots made.