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Zachary Lieberman is an artist, researcher, and educator with a simple goal : he wants you surprised. In his work, he creates performances and installations that take human gesture as input and amplify them in different ways &#8212; making drawings come to life, imagining what the voice might look like if we could see it, transforming people&#8217;s silhouettes into music. He&#8217;s been listed as one of Fast Company&#8217;s Most Creative People and his projects have won the Golden Nica from Ars Electronica, Interactive Design of the Year from Design Museum London as well as listed in Time Magazine&#8217;s Best Inventions of the Year. He creates artwork through writing software and is a co-creator of openFrameworks, an open source C++ toolkit for creative coding and helped co-found the School for Poetic Computation, a school examining the lyrical possibilities of code. He’s also a professor at MIT’s Media Lab, where he runs the Future Sketches group.

Zach Lieberman

Timetable : 2pm &#8211; 5pm
What is computation ? What does code feel like ? How does generative design work ?
Participants are led through a series of group-based drawing exercises to help them understand computational thinking and see it as a form of expression. Through drawing activities, they understand and gain knowledge of how code works and what computation feels like.
After each exercise, we walk through example demos of existing computational tools that utilize the methods participants just employed in their drawings. This solidifies the connection between using rule-based methods within art and design and using code and computational thinking for artistic expression and craft.
No programming or technical experience is needed. We will be doing a variety of drawing exercises, so please be prepared to draw !

Drawing++

by Zach Lieberman

TRAKK 6

Frederik De Bleser (º1978) is a researcher and lecturer at Sint Lucas Antwerp. His research focuses on the connection between art and technology and the development of free software tools for generative design and data visualization. He leads the Algorithmic Gaze research lab, developing open-source tools for creative AI. He coordinates the master in digital media at Sint Lucas, and works as a freelance data visualisation artist, creating projects for Belgian news and online democracy platforms.
Lieven Menschaert (º1975) is a researcher and lecturer at Sint Lucas Antwerp and LUCA school of arts. His main interest is in generative and computational design and thus sees AI and machine learning as the logic next step in a procedural generation practice. He works together with Frederik in the Algorithmic Gaze research lab.

Frederik De Bleser & Lieven Menschaert (Pixels and Patterns)

Timetable : 10am &#8211; 5pm
Equipment required : your own laptop
Machine learning is doing some amazing things in the creative world, but going beyond the basics can quickly become overwhelming. Sure, we all know how to type a prompt into DALL-E 2 or Midjourney, but how do you make truly unique works?
Our workshop aims to demystify this journey. We&#8217;ll look at how to train a personalized model from scratch, carefully curating and preparing the data that goes into it. We&#8217;ll look at how personalized models can be used as new methods and conduits for creative expression.
Please bring your laptop. We&#8217;ll install some custom open-source software. We&#8217;ll also provide fast cloud computing resources to train your models

A Practical Guide to Artistic Machine Learning

by Frederik De Bleser & Lieven Menschaert (Pixels and Patterns)

TRAKK 5

Martial Geoffre-Rouland
Martial Geoffre-Rouland is a French interactive designer, residing in Lyon, founder of the interactive design studio screen-club. With a diploma from Elisava Barcelona, Higher School of Design and Engineering, his work revolves around digital art and new technologies. A jack of all trades, his projects emerge from collaborations with agencies, artists, independent studios, graphic designers, and companies, in fields as diverse as web, digital installations, or scenography. Since 2009, he has been conducting workshops and lectures in France and Europe on both technical and theoretical subjects, aiding participants in unlocking the digital potential and the language of code across various practices like visuals, sound, or data visualization. He is a member of the Graffiti Research Lab France. Additionally, he has been an artist in residency at Google Arts &amp; Culture Lab since 2020.
Gael Hugo
Gaël Hugo is a swiss interactive designer settled in Paris in 2005, where he founded &#8220;one more studio&#8221; a few years later. His design practice aims to reflect the blurry boundaries of visual communication in a digital age. Gaël Hugo likes to produce dedicated design solutions relayed by – in his own words – dubious self­-made tools to achieve unexpected visual experiences. This experimental and playful approach allowed him to work with musicians, cultural institutions as well as with artists, designers or commercial brands. Gaël Hugo is now a regular artist in residence at Google Arts &amp; Culture in Paris since 2015 where he specialized in using machine learning in creative ways and also teaches interaction design at ECAL University of art and design in Lausanne since 2006.

Martial Geoffre-Rouland & Gael Hugo

Timetable : 10am &#8211; 5pm
The workshop is hosted by Martial Geoffre-Rouland and Gaël Hugo, both of whom are artists-in-residence at the Google Arts &amp; Culture Lab. In this interactive session, we will guide participants through methods for rapid prototyping of interactive projects that combine web technologies, machine learning, and open-source frameworks. 
These hands-on projects aim to help attendees quickly build prototypes that incorporate computer vision techniques, like tracking and shape segmentation, as well as image generation capabilities.
Prerequisites for Participants
Participants should have basic skills in web development and a keen interest in JavaScript to fully engage with the workshop&#8217;s interactive elements. Each participant must come with a laptop with a webcam. A working web environment must be set up on each participant&#8217;s laptop.

A Practical Guide to Artistic Machine Learning

A Practical Guide to Artistic Machine Learning

Crafting Reality : Images in Your Hands

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Drawing++