CAS Talk 2.1: Deep Learning as a Creative Collaborator, or How I Learned to Stop Worrying and Love AI by Andy Lomas
Date: Tue, 12 May 2020, 20:00 - 21:00
Venue: Zoom, The Internet
Can neural networks help us work with generative systems, navigating uncharted territory to find places where rich transitional behaviour occurs? Can they free us to explore more unruly systems than we'd otherwise be able to work with?
Andy Lomas is a computational artist, mathematician and Emmy award-winning supervisor of computer-generated effects. His artwork explores how complex sculptural forms can be created emergently by simulating growth processes. Inspired by the work of Alan Turing, D'Arcy Thompson and Ernst Haeckel, it exists at the boundary between art and science.
Additional Materials
Recording of the EvoMUSART paper presentation:https://www.youtube.com/watch?v=blCmEnR74Yo
Full text of the paper:https://arxiv.org/pdf/2004.06874
Paper citation:McCormack, J., & Lomas, A. (2020, April). Understanding Aesthetic Evaluation using Deep Learning. In International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) (pp. 118-133). Springer, Cham.
Here's the page from my website with publication links: http://www.andylomas.com/publications.html
