Training Neural Networks to Design TypeFaces

Design Typefaces using Neural Networks
The next 10yrs are going to disrupt a lot more things than anyone can imagine. Design already needs to use AI to keep up with the exploding contexts and use cases they find themselves designing for. This is an example of how previously career jobs are getting replaced with neural networks that can learn all the knowledge and implement newer solutions. Read on to learn more about this experiment.

Design is being disrupted by AI

‘Infrastructure’ is something whose value becomes apparent only when it breaks down. The developed world only notices electricity, water, Internet when the supply/service is disrupted.
30yrs ago, very few people used computers or the Internet. Today, almost all work is influenced/ affected by digital manipulation of data. It’s infrastructural. Humans add most value doing tasks that technology hasn’t quite figured out yet.
Over the next 10 years, almost everyone’s work will begin to be impacted/influenced by Artificial Intelligence. As jobs get smartened, automated, and scaled, human tasks will continue to shift more into newer, higher abstractions that were practically unreachable in the past.This is an example of how User Interface and Interaction design has moved from tangible interfaces (e.g. physical buttons), to mutable digital interfaces and gestures (displays and touch screens) and now to a deeply integrated partnership with Artificial Intelligence. Designers have to be skilled in understanding contexts and distilling down use cases. But now, Artificial Intelligence is beginning to be the only scalable way to keep up with and design for abundantly complicated contexts of rapidly evolving technology and increasing levels of customization. Traditional UI design is already getting outdated. 

The Fourier Transform

When I studied engineering, the topic that I found the most philosophical value in was The Fourier Transform. It blew my mind as it took a complex, crazy, unruly world of waves in the time domain and transformed it into an orderly world of discrete frequencies and phases where they could be easily understood and manipulated. I remember realizing for the first time that most complex, emergent behavior in one dimension was something that could still be easily abstracted in another – a template for many problems we encounter in the world. This is the most accessible explanation of the Fourier Transform. Wish I had access to this when I was a student.

An Interactive Guide To The Fourier Transform