Free for all
Gaël Hugo + Cyril Diagne: The Google Arts & Culture lab
Cyril and Gaël work at the Google Arts Lab. They will introduce the Lab, present some of their works and show the various open source tools they use.
Cyril Diagne is a French digital interaction artist. He graduated from Gobelins, l'école de l'image (Paris) in 2008 and co-founded the interdisciplinary art collective Lab212. Cyril creates poetic interactive experiences that empower users and cast a different light on the technology that surrounds us. Since September 2015, he is professor and head of media & interaction design at ECAL (Lausanne University of Arts and Design).
Gaël will also give a workshop on November 14 & 15:
Let’s mess with the Grid, we will share our references of the most creative structured visuals, from Russian Suprematism to Joseph Müller-Brockmann grid, from Fibonacci repartition to Ulam Spiral, to see how algorithms have been used as helper in visual compositions.
Beyond batch processing, scripting within the classic design tools like illustrator and photoshop is possible, but it’s not easy. Let’s find how we can simplify the process by working out of that box and creating our own "tools".
Random doesn’t mean necessary no structure. How can a designer generate a huge collection of unique graphic patterns by setting a bunch of simple rules.
Keeping thing’s under control, sometimes, producing visuals that follow certain rules can be conceptually very powerful. How can a designer use dynamic data to produce changing visuals while keeping style and coherence.
Bézier all the things, from vector illustration to type design, bézier curves can be used in many different ways in graphic design. While playing with their mathematical formula, we will try to produce unexpected outcomes.
A touch of pixels : bitmap parsing, we’ll start learning how to use various kind of rasterization technics.
Machine learning for the good: we will use machine learning to identify the most expected design, to avoid risks and make your clients happy.
Machine learning for evil: we will use machine learning to try produce unexpected graphic compositions, for the better or worst…
Open discussion, personal projects.
pre-requisite : tools
We will use ATOM. Sublime or any decent code editor will work too.
We will use Illustrator and Photoshop
pre-requisite : mindest
Don’t be afraid of numbers, or mathematical function.
Ready to try things that won’t work as expected.
That workshop won’t save the world.
Graphic design can draw triangles but Pythagoras did it first.
Talk: Nov.13 11:45am, Ground Control
Workshop: Nov.14th & 15th, Pyramyd formation