Are you interested in algorithmic technologies, music production and sampling within your music?
Join Manchester sound artist Vicky Clarke for four days of making music with machine learning to create a series of audiovisual dreamscapes ready for transmission on the internet.
Machine learning is a branch of Artificial Intelligence (AI), where neural networks detect patterns in sets of data and use them to make predictions. As an emerging field in music making, sonic AI has great potential for how we compose, generate material and collaborate with machines.
Open to people of marginalised genders aged 18-30, on this project you’ll get the opportunity to explore a range of accessible tools to generate sound, text and images using a variety of open source training models.
Together you’ll look at the work of groundbreaking artists and technologists working in the field and consider artistic, ethical and conceptual issues around bias, autonomy and creativity.
There is no need to be able to code, the project is aimed at beginners!
Dates and Location
5, 6, 9 and 10 May 2022
9.30am – 4.30pm
SeeSaw, Manchester, M1 6NG
We can cover travel costs for those who need it, plus a £25 daily allowance.
On this project you will:
- Learn about machine learning (a branch of AI) and how it can be used creatively for music making
- Gain practical skills using a range of accessible tools and interfaces covering sound, text and image generation
- Discuss our relationship to these emerging creative technologies and consider issues of bias, ethics and artistic autonomy
- Create artworks; a series of dreamscapes and human-machine collaborations to share online
Who It’s For
We’re looking for:
- 18-30 year old people of marginalised genders including, but not limited to,
- All Women, including Trans Women
- Non-Binary and Agender People
- Gender Fluid and Genderqueer People
- Trans Men and Trans Masculine People
- Intersex People
- Music makers who already use a DAW to make their music (e.g. Ableton or Logic) – you should be used to working with samples/production tools and create your own music. You will need to bring your own laptop for the project.
- People interested in learning about machine learning – and how we collaborate with machines using algorithms.
No previous experience of machine learning is required and you don’t need to know how to code.
To take part please complete an online form* by Monday 11 April, 11pm.
*We’re committed to supporting and meeting the needs of people with learning difficulties or disabilities. If you have any specific access needs relating to completing the form, please let us know. Contact us at email@example.com or 0161 546 5334.
If you have any questions please email Jonas Roberts.
The residency is led by Manchester sound artist Vicky Clarke, who for the past year has been researching machine learning and musique concrete as artist-in-residence with NOVARS, University of Manchester. The residency is in collaboration with PRiSM at RNCM and supported by Arts Council England. Find out more at www.auramachine.blog