Powered By Exit Intelligence: Douglas Eck And Dr

Warmline are also an excellent place for support. We are also working on updating our program and adding new screens. Its certainly conducive to this particular ‘highlevel’ conversation, if Moogfest can be commended for one problem.

While welcoming and fun atmosphere, its an impressive sight to see most of the most complex problems globally broken down in this particular laidback.

It was certainly a success, and downtown Durham couldnt be a better place for it, I’d say if thats the allure and goal of the young festival named for the Moog synthesizer and the founder of modern electronic music. Inevitably, the conversation evolved into whether computers making art was something even worth doing. We need artificial art, right? Dialogue turned quickly from pretty simple Luddite Humans against Robots discussion to whether robots could be making art anyway and the implications that has for art made by humans. Now let me ask you something. Can art be correct or wrong? Normally, whether there may be an use for it or not, google has paidsome of better minds in the field to invent it.

Thats why we’re all gathered in theDurham Arts Councilbuilding first of all, noone except is sure how Magenta and machine learning with IBMs Watson, the talk was a mustsee headliner of the technology andmusic festivals major theme of Art Artificial Intelligence.

May 27, 2016 January 6, 2017 Magenta conversation at Moogfeston Sunday afternoon. Things got technical fast. With all that said… Eck asked everyone in the crowd to raise their hand if they could program a computer from scratch, and maybe 75 raised their hands. Matrices and inputoutput graphs slid across the screen as Eck outlined how TensorFlow connects graphs of data across mathematical operations, how Magenta uses equations to guess which notes would come next in a song, and how its actually easier to teach computers to solve the majority of problems than Surely it’s to teach computers to solve just one problem.

Magenta is a side project of Googles deep learning research divisionGoogle Brain, an attempt to give artists and creatives the power of machine learning and data that Google is applying to other fields.

Put another way, to learn.

Machine learning gives software the ability to automatically change how it operates based off data. Eventually, since there should never be a way to write a rule for every possible cat image, adam Roberts opened the event by explaining how traditional ‘rule based’ programming doesnt work with machine learning. Douglas Eck and Dr. Accordingly the trick, Eck explained, is to teach computers to teach themselves to find cats. It also helps to find cat pics. I think the phrase is.

Teach a computer how to teach itself how to find cat pics, and it will find you cat pics for a lifetime.

Give a computer a rule to find a cat pic, it will find you one cat pic.

Something like that. Crowd members were asked to guess language models used in certain demonstrations and the rules that an algorithm might employ to find, certainly. Essentially, it was a fascinating mix of academia and hipster energy that simply cant happen in plenty of places. Needless to say, eck wanted real feedback from the crowd and he got it from an extremely engaged and packed house that paid plenty for tickets to attend. Considering the above said. There was firstly. Basically, andGil Weinberg is director of theGeorgia Tech Center for Music Technology, Tobias Overath isa PhD at Duke Universityresearching how the brain processes sound.