diff --git a/build.py b/build.py
index ba34923..030ba25 100644
--- a/build.py
+++ b/build.py
@@ -6,6 +6,7 @@ from jinja2 import Environment, FileSystemLoader
import yaml
import time
import json
+from datetime import datetime
class Website:
def __init__(self, template_dir, public_dir):
@@ -20,6 +21,7 @@ class Website:
def build(self):
self.fetch_pages()
+ self.sort_pages_by_date()
self.process_page()
self.fetch_tags()
self.create_list()
@@ -134,7 +136,6 @@ class Website:
image_path = image_path.replace("/images/.", "/images")
self.all_images.append(image_path)
random.shuffle(self.all_images)
- print(self.all_images)
html_output = template.render(
images=self.all_images
)
@@ -154,6 +155,10 @@ class Website:
with open(json_file, 'w', encoding='utf8') as f:
json.dump(page_info_list, f, ensure_ascii=False, indent=4)
+ def sort_pages_by_date(self):
+ # Sort pages by date in descending order (newest first)
+ self.pages.sort(key=lambda x: x.date, reverse=True)
+
class Page:
def __init__(self, metadata, md_content, filename, last_updated):
diff --git a/content/about.md b/content/about.md
index 2eb27e0..6b01e20 100644
--- a/content/about.md
+++ b/content/about.md
@@ -4,7 +4,7 @@ git: https://git.fioruil.ie/
---
Cailean Finn is a Media Artist and Creative Technologist from Waterford, Ireland. His practice is centred around investigating computational design, histories, and processes embedded within socio-technological systems.
-Cailean holds a BSc in Computer Science (2019), and a MA in Art & Technology (2022) from the University of Limerick.
+Cailean holds a BSc in Computer Science (2019), and a MA in Art & Technology (2022) from the University of Limerick, where he is currently pursuing his PhD in AI & Media Art, funded by CRT-AI.
In his work, Cailean explores not only the technical aspects of technology, but also uses it as a tool to highlight the hidden processes and idiosyncratic nature of the human-machine relationship. In doing so, he hopes to reimagine and explore speculative realities that show the potential of emerging technology to be (re)shaped and (re)defined - ranging from Artificial Intelligence, to Creative Coding, and Computer Graphics.
diff --git a/content/posts/(o)machine.md b/content/posts/(o)machine.md
index eabc717..aa7cde7 100644
--- a/content/posts/(o)machine.md
+++ b/content/posts/(o)machine.md
@@ -4,7 +4,7 @@ type: Project
year: 2022
image: o-machine.png
tags: [AI, NLP, Simulation]
-date: 2024-06-07
+date: 2022-06-07
showcase:
- name: Speak It Now Eat It, Revision Performing Arts Festival
year: 2022
diff --git a/content/posts/ai-x-body.md b/content/posts/ai-x-body.md
index c531280..8a8e910 100644
--- a/content/posts/ai-x-body.md
+++ b/content/posts/ai-x-body.md
@@ -4,7 +4,7 @@ type: Publication
year: 2022
image: aixbody.webp
tags: [HPE, AI]
-date: 2024-06-07
+date: 2022-12-12
draft: false
---
This publication was created in collaboration with AIxDesign, as part of their AI Playground (S01) which ran from May 2022-February 2023.
diff --git a/content/posts/beauty-and-the-beep.md b/content/posts/beauty-and-the-beep.md
index 9dd9514..97a29ce 100644
--- a/content/posts/beauty-and-the-beep.md
+++ b/content/posts/beauty-and-the-beep.md
@@ -4,7 +4,7 @@ type: Project
year: 2024
image: beep.png
tags: [RL, AI, Unity, Simulation]
-date: 2024-06-07
+date: 2024-05-01
showcase:
- name: Exposed Torino Foto Festival
year: 2024
diff --git a/content/posts/data.md b/content/posts/data.md
index 5a7e9ce..97ca482 100644
--- a/content/posts/data.md
+++ b/content/posts/data.md
@@ -4,7 +4,7 @@ year: 2023
image: data.png
type: Project
tags: [Web, ML, p5]
-date: 2024-06-07
+date: 2023-06-07
credits:
Cailean Finn: Coding & Web Design
Walt Nied: Interview & Script
diff --git a/content/posts/dwelling.md b/content/posts/dwelling.md
index 1451606..f138bf8 100644
--- a/content/posts/dwelling.md
+++ b/content/posts/dwelling.md
@@ -5,7 +5,7 @@ type: Project
image: dwelling.png
tags: [Unity, Performance, VFX]
draft: false
-date: 2024-06-07
+date: 2023-11-07
showcase:
- name: Beta Festival, Project Arts Center
year: 2023
diff --git a/content/posts/electronic-image.md b/content/posts/electronic-image.md
index 486cc9a..08faad3 100644
--- a/content/posts/electronic-image.md
+++ b/content/posts/electronic-image.md
@@ -4,7 +4,7 @@ year: 2021
type: Project
image: electronic-image.png
tags: [Virtualisation, Video-Synthesis, MaxMSP, Jitter]
-date: 2024-06-07
+date: 2021-09-01
showcase:
- name: The Limerick Show, Ormston House
year: 2022
diff --git a/content/posts/latent-mirror.md b/content/posts/latent-mirror.md
index f10dee2..b365aad 100644
--- a/content/posts/latent-mirror.md
+++ b/content/posts/latent-mirror.md
@@ -4,7 +4,7 @@ year: 2022
type: Project
image: latent-mirror.png
tags: [Performance, AI, DeepFakes, TD]
-date: 2024-06-07
+date: 2022-10-01
showcase:
- name: Sound & Portraits, Imagine Arts Fesitval, WGOA
year: 2022
diff --git a/content/posts/stubborn-vectors.md b/content/posts/stubborn-vectors.md
new file mode 100644
index 0000000..faed6d4
--- /dev/null
+++ b/content/posts/stubborn-vectors.md
@@ -0,0 +1,47 @@
+---
+title: Stubborn Vectors
+type: Project
+year: 2024
+image: sv-image.webp
+tags: [Affetcion Mapping, AI, Embedded Computing]
+date: 2024-11-04
+showcase:
+ - name: Beta Festival
+ year: 2024
+ location: Dublin
+references:
+ - title: some-title
+ link: https://www.caileanfinn.ie
+draft: false
+---
+Stubborn Vectors is an interactive installation that explores the computational gaze of computer vision systems, which often oversimplify the complexities of our corporeal selves.
+
+
+Computer vision is deeply entwined with surveillance technologies, accelerating the extraction of information to classify, analyse, and predict human behaviours—often capturing far more than individuals intend to reveal. This work focuses on Affection Mapping, a branch of machine learning dedicated to classifying emotions using computer vision. However, emotions are complex, evolving in response to our families, environments, and personal histories. This inherent complexity exposes the limitations of models attempting to construct a rigid taxonomy of human emotion.
+
+
+In their pursuit to classify and represent the physical world, these systems inadvertently reveal an unfamiliar umwelt—a new lens through which meaning is extracted and reality is interpreted. By examining this computational gaze, we can observe how these systems function, their inherent biases, and how they influence and bleed into our physical world.
+
+
+The installation is built as a computational system composed of computer vision and machine learning models. A dataset of archived footage is processed through this system to detect, segment, and extract features from each frame, with each feature represented as a multi-dimensional vector or embedding. This data is then sorted, reduced in dimensionality, and mapped into a two-dimensional space, creating a human-readable representation of the system's latent space. Using custom-built controllers, users can query the system with an emotional state, prompting it to navigate toward its nearest embedding within the space.
+
+
+
+
+![sv-install](/images/stubborn-vectors/install-sv.jpg "sv install")
+
+![sv-install](/images/stubborn-vectors/install-sv-2.jpg "sv install")
+
+![sv-install](/images/stubborn-vectors/controller-emote.jpg "sv install")
+
+![sv-install](/images/stubborn-vectors/wip-sv-1.png "sv install")
+
+![sv-install](/images/stubborn-vectors/cailean-finn-beta-wip-1.jpg "sv install")
+
+![sv-install](/images/stubborn-vectors/cailean-finn-beta-wip-3.jpg "sv install")
+
+![sv-install](/images/stubborn-vectors/IMG_1234.jpg "sv install")
+
+![sv-install](/images/stubborn-vectors/IMG_1252.jpg "sv install")
+
+![sv-install](/images/stubborn-vectors/some-text.png "sv install")
\ No newline at end of file
diff --git a/content/posts/undefined.md b/content/posts/undefined.md
index 9dcd14b..09408ac 100644
--- a/content/posts/undefined.md
+++ b/content/posts/undefined.md
@@ -4,7 +4,7 @@ year: 2022
type: Project
image: undefined-panorama.png
tags: [Web, Creative-Coding]
-date: 2024-06-07
+date: 2023-01-01
showcase:
- name: Exceptional Times, Uncertain Moves, Seo-Seoul Museum of Art
year: 2022
diff --git a/public/about.html b/public/about.html
index 0c9f3d7..28a4056 100644
--- a/public/about.html
+++ b/public/about.html
@@ -32,10 +32,9 @@
-
ABOUT
Cailean Finn is a Media Artist and Creative Technologist from Waterford, Ireland. His practice is centred around investigating computational design, histories, and processes embedded within socio-technological systems.
-
Cailean holds a BSc in Computer Science (2019), and a MA in Art & Technology (2022) from the University of Limerick.
+
Cailean holds a BSc in Computer Science (2019), and a MA in Art & Technology (2022) from the University of Limerick, where he is currently pursuing his PhD in AI & Media Art, funded by CRT-AI.
In his work, Cailean explores not only the technical aspects of technology, but also uses it as a tool to highlight the hidden processes and idiosyncratic nature of the human-machine relationship. In doing so, he hopes to reimagine and explore speculative realities that show the potential of emerging technology to be (re)shaped and (re)defined - ranging from Artificial Intelligence, to Creative Coding, and Computer Graphics.
Currently, he is exploring emergent behaviours of virtual life through Evolutionary Computation and Reinforcement Learning. Additionally, he is experimenting with simulations as a medium for these investigations into embodied intelligence, and its potential impact on various ecologies, as it slowly becomes more ubiquitous. Cailean is also a member of CONCEPTNULL, a community-based organisation, which runs a bi-monthly newsletter and hosts events with a focus on New Media Art in Ireland.
Stubborn Vectors is an interactive installation that explores the computational gaze of computer vision systems, which often oversimplify the complexities of our corporeal selves.
+
Computer vision is deeply entwined with surveillance technologies, accelerating the extraction of information to classify, analyse, and predict human behaviours—often capturing far more than individuals intend to reveal. This work focuses on Affection Mapping, a branch of machine learning dedicated to classifying emotions using computer vision. However, emotions are complex, evolving in response to our families, environments, and personal histories. This inherent complexity exposes the limitations of models attempting to construct a rigid taxonomy of human emotion.
+
In their pursuit to classify and represent the physical world, these systems inadvertently reveal an unfamiliar umwelt—a new lens through which meaning is extracted and reality is interpreted. By examining this computational gaze, we can observe how these systems function, their inherent biases, and how they influence and bleed into our physical world.
+
The installation is built as a computational system composed of computer vision and machine learning models. A dataset of archived footage is processed through this system to detect, segment, and extract features from each frame, with each feature represented as a multi-dimensional vector or embedding. This data is then sorted, reduced in dimensionality, and mapped into a two-dimensional space, creating a human-readable representation of the system's latent space. Using custom-built controllers, users can query the system with an emotional state, prompting it to navigate toward its nearest embedding within the space.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Exhibited:
+
+
+
+
(2024)
+ Beta Festival,
+ Dublin
+
+
+
+
+
+
+
+
+
+
+
+
+
Last Modified:
+
Mon Nov 4 15:06:45 2024
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/public/articles/undefined.html b/public/articles/undefined.html
index 3378520..77d8548 100644
--- a/public/articles/undefined.html
+++ b/public/articles/undefined.html
@@ -107,7 +107,7 @@