Today starts the logging of research project called Jitakami Research 2019. Basicly it consists of three big blocks – two of them running serially, and one in parallel to the two. The research part, for which I applied to a work stipend on cultural ministry (still pending, and probably will continue to for some time) consists of study and research from now up until the summer. In parallel, the idea is to produce a perfomance/installation at BitShift program at Kapelica gallery sometime in April – currently called Raglain, and then work on the second phase (AUTOCOM) that would presumably be shown in Linz.
For the work stipend / research I wanted to focus on:
- theoretical study of A.I., programming and computational creativity via some literature, reading and writing
- practical work through online courses and self-directed exercises in programming and rapid prototyping
- study visits of different A.I. research institutes and labs, to talk and learn through meeting researchers and seeing A.I. research in-person
- interviews with artists and curators – those who work on the field of art, technology and science – I’m especially interested in artistic methodologies and how to concpetualize and ultimately present/situate/publish an artistic work – even if it’s processual or research-based.
I have created another post on here with slovene texts and timeline that went into the application: https://lukaprincic.si/development-log/jitakami-research-2019-working-plan
For Raglain I hope to arrive at a Jitakami prototype, small, quite basic, but working and conceptually clear and readable. To exhibit it in some way, and to perform with it too.
I’m not sure how far AUTOCOM phase will go, but I hope to incorporate more ideas dealing with instrument autonomy and just-in-time audio-visual composition. Perhaps there could be a third phase for 2019 where I strive for a milestone at the end of November, of release of actual Jitakami machine.
But, today I start with a book: “John R. Searle: Minds, Brains and Programs” and seeing if I can get into the Machine Learning course on coursera (it started last week – this is already week two).
10:28 – Kapelica meeting setup for Monday. And coursera course can be moved to your own starting week.
I keep being distracted from reading John Searle’s article, so I have also found a course on edX by Columbia University on A.I. It seem to cover broader area of A.I., and it’s quite in-depth with a lot of reading suggestions. It’s archived and inactive tho – so it only has videos to watch, but quizes and project assignments are gone. I’m pondering the idea to just work through that course in parallel, just watch the videos: https://courses.edx.org/courses/course-v1:ColumbiaX+CSMM.101x+2T2017/course/