Moogfest 2017

Come and learn how to create synthesisers driven through artificial neural networks, offering intelligent control of large numbers of synth parameters with just a few knobs, motion controllers or even biosignals. Join Goldsmiths University of London researchers who will introduce their new cross-platform machine learning and synthesis toolkit, RAPIDLib. They will also present a hardware modular synth that uses machine learning to control a range of synthesiser parameters via Control Voltage, baking AI into your modular setup.
Participants are asked to bring a laptop for the machine learning workshop. Headphones are also encouraged. 


** If you successfully register for this workshop, it will be confirmed in your personalized schedule. Please plan to arrive at the venue at least 15 minutes prior to the beginning of the session. Those not in attendance 5 minutes before the session begins will forfeit their spot to those in line. 

** If you were unable to successfully register for this workshop but were added to the waitlist and want to attend, it may still be possible if a space becomes available on the day of the session. Please plan to arrive at the venue at least 15 minutes prior to the beginning of the session and wait in the standby line. Open spots will be filled on a first come, first serve basis to those in line. 

** By registering for a workshop, you acknowledge that Moogfest may share your email address with the instructor for the purpose of planning and coordinating this event.