EAST　Workshop｜Machine learning　Workshop

INTRODUCTION
This hands-on workshop will begin by introducing the basics of coding with p5.js, including drawing, animation, and interactivity. We will then cover computer vision techniques based on simple pixel processing and machine learning, with a focus on tracking bodies, faces and hands. p5.js is a Java library designed to make coding accessible for artists, designers, and educators. “Computer vision” refers to a broad collection of techniques that allow computers to make intelligent assertions about what’s going on in digital images and video. “Machine learning” refers to explaining tasks to computers via examples (training data) instead of instructions (code). Using p5.js we can quickly leverage the power of new computer vision algorithms built on machine learning to create camera-driven interactive art work. We will discuss the ml5.js toolkit, and how it fits into the broader ecosystem of modern machine learning tools. We will use ml5.js to detect common objects in front of the webcam, and train a custom classifier that can distinguish between personal objects in front of the webcam. The class will adapt to the familiarity of the students: if the fundamentals of creative coding already well understood, by the end of the workshop we will be discussing higher-level machine learning concepts like generative adversarial networks for image generation and recurrent neural networks for text and music generation.


Speaker:：

Kyle McDonald
Kyle McDonald is an artist working with code. He is a contributor to open source arts-engineering toolkits like openFrameworks, and builds tools that allow artists to use new algorithms in creative ways. He has a habit of sharing ideas and projects in public before they’re completed. He creatively subverts networked communication and computation, explores glitch and systemic bias, and extends these concepts to reversal of everything from identity to relationships. Kyle has been an adjunct professor at NYU’s ITP, and a member of F.A.T. Lab, community manager for openFrameworks, and artist in residence at STUDIO for Creative Inquiry at Carnegie Mellon, as well as YCAM in Japan. His work is commissioned by and shown at exhibitions and festivals around the world, including: NTT ICC, Ars Electronica, Sonar/OFFF, Eyebeam, Anyang Public Art Project, Cinekid. He frequently leads workshops exploring computer vision and interaction.

Academic Host
QIU Zhijie,Dean, School of Experimental Art, CAFA; Professor
Producer：
Iris Long,Researcher on Art, Science and Technology, CAFA

Application Time：
2019.10.31- 2019.11.03
Workshop Time：2019.11.5
Workshop Allowance：10

Please send the following material to：
east_workshop@163.com
（1）Biography and portfolio
（2）Application statement