My latest journal article, "A Dynamic Representation Solution for Machine Learning-Aided Performance Technology" has been published in the open-access journal Frontiers of Artificial Intelligence! This article was cowritten with my longtime collaborator, Professor Scot...

Well, the cat's out of the bag now...I am no longer Dr. Jason Palamara, Visiting Assistant Professor of Music Technology. My business cards will henceforth say, Dr. Jason Palamara, Assistant Professor of Music Technology at IUPUI. 

January 11, 2020

I'll be co-presenting a new paper with my longterm partner-in-crime/percussion machine Scott Deal at SEAMUS 2020 at University of Virginia!  It'll be some time around March 12-14 and we'll be presenting a paper about our machine learning software Avatar.  More details...

December 31, 2019

It's been an awesome semester with the Destructive and Inventive Systems Ensemble.  Here's a highlight of our set at ReverBall, back in November.  All in all, it's been a good year for "perforation," which also appeared at the University of Louisville's New Music Festi...

December 20, 2019

The DONALD TAVEL ARTS AND TECHNOLOGY RESEARCH CENTER will soon be commercially releasing version 1.0 of the Avatar Machine Learning Improvisational Assistant, developed by Jason Palamara and Scott Deal. The Avatar program is a machine-learning-enabled “choice engine” w...

February 1, 2019

I've been invited to present my HIDI (Human Instrument Digital Intelligence) system of networked M4L objects at the International Society for Improvised Music Conference in Minneapolis, MN in May, 2019!  

This group of musicians, educators and researchers exists...

February 1, 2019

by Dr. Jason Palamara
Visiting Assistant Professor of Music Technology
Indiana University Purdue University Indianapolis




Does the technology you use to compose music change the w...

These sounds were painstakingly collected by IUPUI's newest music technology ensemble, the DISEnsemble (Destructive and Inventive Systems Ensemble), which focuses on making beautiful sounds out of ugly, outdated or broken devices.

The sounds are grouped by instrument, f...

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