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---
(O)MACHINE is a real-time generative performance that employs contemporary machine learning algorithms to explore how we humanise technologies.The architecture of this system was designed to emulate our stream of consciousness, where the machine is trapped in this perpetual cycle through processes of reflection and feedback. As questions begin to arise around the sentience or intelligence of these thinking machines, it has become even more important to explore our relationship with machines, and how it continues to evolve. By engaging with its output, it positions artificial intelligence as both a subject and tool. Through this approach, we may begin to expand the dynamics of this connection through new methods of collaboration. From this interaction, we can continue to learn more about how these systems function, how they think, if they even think at all, or can it help us think?
Sound design by (Eoin O'Sullivan)[https://eoin-osullivan.bandcamp.com/]
*Created in Unity using open-source NLPs & Text-to-Speech Synthesis Models.*
<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/723073426?h=b7cb2c084f&title=0&byline=0&portrait=0" style="position:absolute;top:0;left:0;width:100%;height:100%;" frameborder="0" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

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@@ -11,7 +11,7 @@ This publication was created in collaboration with AIxDesign, as part of their A
The text explores the evolution of human pose estimation and recognition technologies through tracing their historical development, their contemporary applications, and how artists and creative practitioners have employed such tools in their artistic process.
(Article 📎)[https://nadiapiet.notion.site/AIxDesign-s-Guide-to-AI-x-Body-26ea1c78f253425a92f9269895ea6f46]
(Article &#x2197;)[https://nadiapiet.notion.site/AIxDesign-s-Guide-to-AI-x-Body-26ea1c78f253425a92f9269895ea6f46]

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@@ -9,12 +9,12 @@ showcase:
- name: Exposed Torino Foto Festival
year: 2024
location: Turin
- name: Another Showcase Festival
year: 2025
location: Rome
credits:
Cailean: CT
Leon: Camera
Simone C Niquille: Scenography & Camera
Cailean Finn: Creative Technologist
Jeff Witscher, New Furniture Music & Pipe Dream: Music
Klankbeeld: Field Recordings
Voices: Oliver Lucas & Alexa, Amazon Echo
references:
- title: some-title
link: https://www.caileanfinn.ie
@@ -27,5 +27,32 @@ Wondering who would buy an automated mechanical pet to assist and live in their
For this work, I collaborated with Simone C Niquille as a Creative Technologist. In the process of creating Beauty and The Beep, the chair was trained using reinforcement learning alogrthims in the Unity game engine. The training process took inspiration from Boston Dynamic's approach in the training of their SpotMini, as well as tradiontional (DeepMimic)[https://www.youtube.com/watch?v=vppFvq2quQ0] environments for Reinforcement Learning research. We chose to use Unity for this project, as it allowed us to work with the (ML-Agents Package)[https://github.com/Unity-Technologies/ml-agents] - an experimental Reinforcement Learning framework, which wraps complex reinforcement learning algorithms/methods into components which are more acessible for developers. Even though this package has been forgotten by Unity, for the most part, working with a user-friendly game engine was key in creating simuated environments for the 🪑 to explore.
![Beauty and the Beep - Treadmill](/images/beauty-and-the-beep/d_beep_9.jpg "Beauty and the Beep - Treadmill")
![Beauty and the Beep - Dumb Objects](/images/beauty-and-the-beep/d_beep_8.jpg "Beauty and the Beep - Dumb Objects")
![Beauty and the Beep - Multiple Agents](/images/beauty-and-the-beep/beep_multiple_agents.png "Beauty and the Beep - Multiple Agents")
![Beauty and the Beep - Utah](/images/beauty-and-the-beep/d_beep_2.jpg "Beauty and the Beep - Utah")
<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/939037482?h=fabc477b89&title=0&byline=0&portrait=0" style="position:absolute;top:0;left:0;width:100%;height:100%;" frameborder="0" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>
__Early Experiments__
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/intial_experimentation_climbing.gif "Beauty and the Beep - Training")
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/intial_experimentation_crawling.gif "Beauty and the Beep - Training")
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/intial_experimentation_error.gif "Beauty and the Beep - Training")
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/intial_experimentation_walk.gif "Beauty and the Beep - Training")
__Depth Sensor__
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/depth_sensor.gif "Beauty and the Beep - Training")
__Struggling Chair__
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/mid-struggle.gif "Beauty and the Beep - Training")
__Final Training__
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/dm_scrambler.gif "Beauty and the Beep - Training")
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/dm_walker.gif "Beauty and the Beep - Training")
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/stairs.gif "Beauty and the Beep - Training")
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/treadmill_flip.gif "Beauty and the Beep - Training")
![Beauty and the Beep - Training](/images/beauty-and-the-beep/gif/walking.gif "Beauty and the Beep - Training")

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@@ -5,23 +5,28 @@ image: data.png
type: Project
tags: [Web, ML, p5]
date: 2024-06-07
showcase:
- name: Exposed Torino Foto Festival
year: 2024
location: Turin
- name: Another Showcase Festival
year: 2025
location: Rome
credits:
Cailean: CT
Leon: Camera
Cailean Finn: Coding & Web Design
Walt Nied: Interview & Script
Roisin Berg: Interview & Script
Scott Robinson: Interview & Script
references:
- title: some-title
link: https://www.caileanfinn.ie
draft: false
---
(🔗)[http://conceptnull.org/data] In 2023, Concept Null had the pleasure to chat with Paul, Tom, and Aisling, who lead the Dublin Art & Technology Association (D.A.T.A). Since 2022, D.A.T.A has been a hub for artists, makers, and thinkers to exchange ideas on digital culture in Ireland. During the conversation, D.A.T.A explored it's identity, evolution, and the intricacies of event curation and organisation.
In 2023, Concept Null had the pleasure to chat with Paul, Tom, and Aisling, who lead the Dublin Art & Technology Association (D.A.T.A). Since 2022, D.A.T.A has been a hub for artists, makers, and thinkers to exchange ideas on digital culture in Ireland. During the conversation, D.A.T.A explored it's identity, evolution, and the intricacies of event curation and organisation.
The website presents the interview in both linear and non-linear formats. By utilising machine learning and natural language processing, text segments extracted from the interview were ranked against key topics; creating a higher-dimensional understanding, and projection of the interview - which is commonly referred to as the latent space. After, a t-SNE algorithm was applied to high-dimensional space, flattening it into two dimensions, represented in the interactive map; allowing the user to navigate the interview from the perspective of the machine.
Designed and developed using p5js, by Cailean Finn.
*Designed and developed using p5js, by Cailean Finn.*
(Website &#x2197;)[http://conceptnull.org/data]
![DATA](/images/data/d_data_2.png "DATA")
![DATA](/images/data/d_data_5.png "DATA")
![DATA](/images/data/d_data_1.webp "DATA")
![DATA](/images/data/d_tsne-data.gif "DATA")

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@@ -14,7 +14,7 @@ credits:
references:
- title: some-title
link: https://www.caileanfinn.ie
draft: false
draft: true
---
(O)MACHINE is a real-time generative performance that employs contemporary machine learning algorithms to explore how we humanise technologies.The architecture of this system was designed to emulate our stream of consciousness, where the machine is trapped in this perpetual cycle through processes of reflection and feedback. As questions begin to arise around the sentience or intelligence of these thinking machines, it has become even more important to explore our relationship with machines, and how it continues to evolve. By engaging with its output, it positions artificial intelligence as both a subject and tool. Through this approach, we may begin to expand the dynamics of this connection through new methods of collaboration. From this interaction, we can continue to learn more about how these systems function, how they think, if they even think at all, or can it help us think?

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@@ -11,14 +11,37 @@ showcase:
year: 2023
location: Dublin
credits:
Cailean: CT
Leon: Camera
references:
- title: some-title
link: https://www.caileanfinn.ie
Peter Power & Leon Butler: Directors
Robyn Byrne: Choreographer
Roisie Stebbing: Choreographer & Performer
Cailean Finn: Creative Technologist
David Mathuna: Video Artist
Michael Hurley: Lighting Designer
Leon Denise: VFX Artist
Emma Nash: Singer
Rory Dempsey: Double Bass
Davie Ryan: Drums
Davie Ryan: Associate Producer
Molly Foley: Company Manager
Showscope: Production Management
Caelinn Ní Bhroin: Production Assistant
Aisling Murray: Producer
Maura O'Keeffe: Executive Producer
---
Dwelling is a dynamic live performance and theatre installation created by (Peter Power)[https://peterpower.ie/] and (Leon Butler)[https://bold.ie/]. The performance explores the periphery of cultural isolation, and the dispersal of self across the multimedial, delving into themes of digital mortality, transformation, and rebirth. The performance takes place in the fragments of a home with dance performances by Robyn Byrne and Rosie Stebbing. The characters moves between the digital and real space through motion capture data in conjunction with live tracking. Over the duration of the performance, Rosie starts to form a connection between her physical self, and the digital divide.
The virtual world was created entirely within Unity. Data was captured from Robyn's movement through various methods, such as the Perception Neuron mo-cap suit, as well as emerging monocular 3d human pose detection models. Unity's particle system was used extensively in the project, converting point cloud and positional data into emergent movement, and ethereal landscapes.
![Dwelling](/images/dwelling/d_dwelling_10.JPEG "Dwelling")
![Dwelling](/images/dwelling/d_dwelling_9.JPEG "Dwelling")
![Dwelling](/images/dwelling/d_dwelling_6.png "Dwelling")
![Dwelling](/images/dwelling/d_dwelling_4.png "Dwelling")
![Dwelling](/images/dwelling/d_dwelling_8.JPEG "Dwelling")
![Dwelling](/images/dwelling/d_monocular.png "Dwelling")

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@@ -10,16 +10,12 @@ showcase:
year: 2022
location: Limerick
credits:
Cailean: CT
Leon: Camera
references:
- title: some-title
link: https://www.caileanfinn.ie
Dr. Robin Parmar: Supervisor
draft: false
---
This video series comprises of three individual studies, namely Embedded Energy, Electronic Phase, and Omnidirectional Objects, with each video study exploring an inherent characteristic of the video signal that reflects the key phases of the development in the evolution of the mediums structural, temporal and spatial capabilities. Created as part of my Thesis “The Electronic Image: An Object of Time and Energy” in Art and Technology MA, University of Limerick, Ireland.
The three studies have been shaped by the experimental processes, techniques, and philosophies of the pioneering artists working with video. The artists in question, specifically the works of Steina and Woody Vasulka, who were driven by their yearning to understand the electronic signal and to formulate an electronic lexicon. The work, in its entirety, is an investigation of the unique set of “codes” embedded within the language of the video signal, consequently, recognising the electronic image as an object of time, energy, and it's programmable building element the waveform.
(📎thesis.pdf)[./assets/pdfs/thesis.pdf]
(PDF &#x2197;)[./assets/pdfs/thesis.pdf]