Font Map is an interactive map of more than 750 fonts organized using machine learning to surface new relationships between fonts. For creative content services, please visit our website: https://www.artmiker.com

1. FONT MAP
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Organizing the World of Fonts with AI

2. Fonts are more than just a collection of letters; they are an expression
of style, mood, and personality.
Fonts are the visual embodiment of written communication,
influencing the way we perceive and interpret text.
From elegant and sophisticated scripts to bold and assertive sans-serifs,
fonts have the power to convey emotions, establish brand identities,
and enhance the overall reading experience.
Introduction

3. What is FONT MAP?
● Font Map is an interactive map of more than 750 fonts organized
using machine learning to surface new relationships between fonts.
● Developer – Kevin Ho
● Support - Tobias Toft, Jochen Maria Weber, and the design
community at IDEO.
● Program used – Tensorflow and D3.js
source: experiments.withgoogle

4. AI in Organizing Visual Information
● Andrej Karpathy’s AI organized photos
● Thousands of photos were organized
by AI into a single map through higher
order visual recognition.
● This shows the effectivity of AI in
organizing visual information.
source: ideo stories

5. Exploring Fonts
● A diagram showing the
flow of the machine
learning algorithm from
font samples using the
word “handgloves” to the
assigned point in 2d space.
● Type designers often use
the term “handgloves” to
examine fonts.
source: ideo stories

6. AI Experiment
● Creation of training set of images, one for each font, using the
word “handgloves” for algorithm.
● This allowed each image to contain enough characters to represent
the various traits of each font.
● After having a bunch of font images, convolutional neural network
called VGG16 was used to generate for each font a list of numbers
that represents what the network thought were the notable visual
features of the image.
source: ideo stories

7. AI Experiment
● Neural Networks - are a subset of machine learning, and they are at
the heart of deep learning algorithms.
● Convolutional Neural Network (CNN) - Provide a more scalable
approach to image classification and object recognition tasks,
leveraging principles from linear algebra, specifically matrix
multiplication, to identify patterns within an image.
source: ideo stories

8. AI Experiment
● To get x,y points, embeddings
were ran through T-SNE.
● T-SNE is a popular algorithm
for taking large vectors and
compressing them into a
smaller space — in this case
into a 2-D plane.
source: ideo stories

9. AI Experiment
● The process resulted with 800
fonts in a 2-D space.
● There were clear font clusters
like a sans-serif group, and a
group of cursive fonts.
● The algorithm was also able
to cluster outliers, or fonts
that were more unique and
had fewer relations with
others.
source: ideo stories

10. Introducing Font Map
● The final result of
this exploration is
Font Map, an
interactive map of
more than 750
fonts organized
using machine
learning.
● An intelligent
systems that can
aid the design
process.
source: ideo stories

11. Citations:
Organizing the World of Fonts with AI. (Apr 20, 2017). Retrieved May 09, 2023, from
https://medium.com/ideo-stories/organizing-the-world-of-fonts-with-ai-7d9e49ff2b25
Font Map. (July, 2017). Retrieved May 08, 2023, from https://experiments.withgoogle.com/font-map
Convolutional Neural Networks. (n.d.). Retrieved May 08, 2023, from https://www.ibm.com/topics/convolutional-neural-networks

12. FOR CREATIVE CONTENT & CONSULTANCY SERVICES, PLEASE VISIT:
www.artmiker.com

13. END of SLIDE
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