Robert Lisek

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Most Recent Affiliation:


  • Institute of Advanced Study CEU

Past Affiliation(s):


  • City University of New York

Location:


  • Austria

Bio:

  • SIGGRAPH Asia 2020

    I have an education in art as well as mathematics. I research at the truly cutting-edge vanguard of electronic arts, music and performance. The areas of my activity covering conceptual art, media arts, immersive art, storytelling and performance with a critical consideration of social problems. I am a pioneer of art based on Artificial Intelligence and Machine Learning. I’m using Deep Reinforcement Learning and Recurrent Neural Networks techniques. My projects deal with human-machine interaction and building of new interactive interfaces. It is a multi-agent AI development process. I research also new modes of interaction that integrate physiological human sensing, gesture and body language, and smart information analysis and adaptation. I deal also with spatial sound and video synthesis. My approach is based on meta-learning. Meta-learning goes by many different names: learning to learn, multi-task learning, transfer learning, etc. People easily transfer knowledge acquired in solving one task to another more general task. This means that we naturally recognise and apply previously acquired knowledge to new tasks. The more the new task is related to our previous experience, the easier we can master it. In contrast, popular machine learning algorithms deal with individual tasks and problems. Transfer learning attempts to change this by developing methods to transfer knowledge acquired in one or more source tasks and using them to improve learning in a related target task. The goal of transfer learning is to improve learning in the target task by using knowledge from the source task. When an artificial agent applies knowledge from one task to another, it is helpful to map and embedded the characteristics of one task to the characteristics of another. Techniques enabling knowledge transfer will constitute significant progress in AI and immersive art.

Writings and Presentations:


  • Title: Life After Life
    Writing Type: Paper
    Author(s):
    Exhibition: SIGGRAPH Asia 2015: Life on Earth
    Abstract Summary:

    The tension between biology and political economy brings the following questions: is an individual an owner of its own body? does owning constitute its property? and under which conditions? what are the methods for authorising and selling organs, cells or DNA? under which conditions can companies manage biological material?

    Role(s):