2021 Art · Border · Collider: How Does Artificial Intelligence Observe, Act, and Learn?
2021 Art · Border · Collider: How Does Artificial Intelligence Observe, Act, and Learn?
Embedded Files
Korean language
"How does reinforcement learning of artificial intelligence work?"
Art Collider Lab at the Center for Art Convergence in Korea National University of Arts is planning a training program, <Art · Border · Collider>, that deals with the convergence of art and technology. <Art · Border · Collider> is a new brand name of “Team Learning,” which has been conducted at Art Collider Lab since 2019. Its name signifies “Exploring the boundaries of the outside beyond the art and the action of creating and learning that occurs through collisions with new fields.” <Art · Border · Collider>, held annually, consists of lectures, technical workshops, and project activities and is conducted by instructors from various fields. Participants practice joint creation (team project) through collaboration based on open source and sharing.
<Art · Border · Collider: How Does Artificial Intelligence Observe, Act, and Learn?>, held in the winter term of 2021, delves into the difference between human recognition and machine recognition and that between the learning methods of human and machine as well as aims to understand the observation, behavior, and learning of artificial intelligence that learns by itself. To do this, this program is carried out by practicing Unity 3D’s artificial intelligence reinforcement learning module. To experiment with the post-pandemic education method, <Art · Border · Collider> takes a flipped learning method. Pre-recorded lectures, technical workshops, face-to-face orientations, and project activities are provided.
In the lecture, “reinforcement learning of artificial intelligence and its potential for creative application through ML-Agents’ will be explored as well as “Unity 3D basic setting for reinforcement learning environment configuration of artificial intelligence.” The technical workshop “explores new creative possibilities by creating various artificial intelligence agents that observe, act, and learn on their own in the world created by participants.” Project activities allow participants to create a prototype through team collaboration with mentors.
Duration: 2021. 12. 20. (Mon) – 2022. 1. 13. (Thu)
Venue: Online & Offline
- Online: Trello, ArtCollider Lab youtube
- Offline: Art Collider Lab at the Center for Art Convergence (Changjogwan 104, http://naver.me/GjaN3M0u)
Instructors : Joosun Hwang (media artist, maker), Kyunghwan Sohn(Art Collider Lab)
- Assistant instructor: Youngmin Jin
Participants: 12 bachelor/master students at Korea National University of Arts
Training Objectives
Training Objectives
[Understanding the social discourses and technological utilization of contemporary media]
Cultivating media literacy skills through research, discussion, and practice on interactive media production cases connected with contemporary production culture and media, such as open-source software, coding, and the maker movement
[Understanding Artificial Intelligence and Reinforcement learning]
Understanding the difference between human and machine recognition and learning by grasping the process of the observation, behavior, and learning of artificial intelligence that learns by itself through the practice of Unity3D’s artificial intelligence reinforcement learning module
[Cultivating proactive learning ability through flipped learning method]
Fostering proactive learning skills that are critical to practice-based arts education by thinking about questions, having discussions, and conducting creative projects followed by advanced learning through videos
[Understanding creative problem-solving methods, collaboration, and co-creation through team projects]
Learn how to explain the creative process and how art approaches society by defining problems, deriving solutions, and presenting outcomes through creative problem solving methods presented in project activities
Collaborative education for creative and challenging project activities dealing with social issues
Use of agile-based collaboration tools for communication, sharing, and efficiency in co-creation
Understanding sharing, websites to share ideas and projects, and cloud-based collaboration
Program Details
Program Details
[Day 1 : Orientation] Program introduction, project activities, team building / Offline | Mentors
[Day 2 : Lecture 1] Artificial Intelligence and creation, Unity 3D ML-Agents 1 / Online(pre-recorded video) | Mentors
[Day 3 : Technical workshop 1] Unity 3D ML-Agents 2 / Online(pre-recorded video) | Joosun Hwang
[Day 4 : Technical workshop 2] Unity 3D ML-Agents 3 / Online(pre-recorded video) | Joosun Hwang
[Day 5 : Technical workshop 3] Unity 3D ML-Agents 4 / Online(pre-recorded video) | Joosun Hwang
[Day 6 : Technical workshop 4] Unity 3D ML-Agents 5 / Online(pre-recorded video)| Joosun Hwang
[Day 7 : Team project 1] Planning teamwork and creating paper prototypes / Offline| Mentors
[Day 8 : Team project 2] Team project (technical realization and mentoring) 1 / Offline| Mentors
[Day 9 : Team project 3] Team project (technical realization and mentoring) 2 / Offline| Mentors
[Day 10 : Team project 4] Presentation of team project outcomes and demonstration / Offline| Mentors
Photos
Report abuse