QUANTUM FRAME

LITTLE SOUND MACHINES

LITTLE SOUND MACHINES

2019 -

2018

2018

The Quantum Frame is a mechanical installation that speculates on the future of quantum computing and what that may hold for machine intelligence and consciousness. The installation takes the form of the present day quantum computer, with a tubular central chamber, where machine learning data drives the mechanical movements of an electromagnetic structure, breathing life into the metallic framework, a ghost in the machine.

The current version of the frame is self-generative. But the artist hopes that once time-sharing of the quantum computer is open to the general public, that the installation may be able to talk with the quantum machine directly via data transfer.

This piece is currently on-going. Magnetic field experimentation and research with ferrofluid are currently in--progress.

The Little Sound Machines is a sound installation consisting of a series of both mechanical and digital machines that are connected to an AI network. Three AIs form the central brain of the network. Through learning from and influencing each other, the AIs construct the musical phrases that are then played out through a series of sound-generating machines. The music generated by the AI is also presented on a series of television screens that visualizes both the AI data and audio, as well as machine logic and behavior to the audience.

This piece proposes a new mode of music creation in the age of intelligent machine. Through experimentation, the artist presents an exploration of new musical interfaces that erases the composer from the equation, to present a purely machine-made performance.

The Little Sound Machines are made from found objects, up-cycled and spare parts.

The Little Sound Machines is a sound installation consisting of a series of both mechanical and digital machines that are connected to an AI network. Three AIs form the central brain of the network. Through learning from and influencing each other, the AIs construct the musical phrases that are then played out through a series of sound-generating machines. The music generated by the AI is also presented on a series of television screens that visualizes both the AI data and audio, as well as machine logic and behavior to the audience.

This piece proposes a new mode of music creation in the age of intelligent machine. Through experimentation, the artist presents an exploration of new musical interfaces that erases the composer from the equation, to present a purely machine-made performance.

The Little Sound Machines are made from found objects, up-cycled and spare parts.

LITTLE SOUND MACHINES

2018

The Little Sound Machines is a sound installation consisting of a series of both mechanical and digital machines that are connected to an AI network. Three AIs form the central brain of the network. Through learning from and influencing each other, the AIs construct the musical phrases that are then played out through a series of sound-generating machines. The music generated by the AI is also presented on a series of television screens that visualizes both the AI data and audio, as well as machine logic and behavior to the audience.

This piece proposes a new mode of music creation in the age of intelligent machine. Through experimentation, the artist presents an exploration of new musical interfaces that erases the composer from the equation, to present a purely machine-made performance.

The Little Sound Machines are made from found objects, up-cycled and spare parts.

Experiments in technological alchemy.

NEURAL DREAMS /

HUMAN MACHINES

2014 - 2018

An ongoing video series exploring Google Deep Dream neural network with generative and computational methods. Utilizing public domain and found video footage. This series explores the sense of vision and how humans and machines process image frame by frame. Taking advantage of Google’s neural networks and other open source generative coding platforms such as openFrameworks. This acted as an early stage of figurative and material experimentation at the early days of open source machine learning tools and neural networks, where everything had to be done by hand and processes time spanned days. This gave me a good understanding of how this new emerging medium worked.

Stills taken from old TV commercials and scientific infographics and processed through the Google Deep Dream engine. 2014.

The video on the left side is a single image run through the Google Deep Dream engine multiple cycles, then pieced together frame by frame, showcasing the morphology of the image through machine processing.

Due to limited access to my data during the Covid-19, there are more images and experiments that will be uploaded at a later time.