posted by user: ArtMachines2 || 3811 views || tracked by 2 users: [display]

Art Machines 2021 : Art Machines 2: International Symposium on Machine Learning and Art 2021

FacebookTwitterLinkedInGoogle

Link: https://www.cityu.edu.hk/artmachines2/
 
When Jun 10, 2021 - Jun 13, 2021
Where Hong Kong
Submission Deadline Dec 15, 2020
Notification Due Mar 1, 2021
Categories    machine learning   computational media art   digital media   digital art
 

Call For Papers

Submit your Research Papers, Proposals and Art Projects for Exhibition to Art Machines 2 Conference.

We are calling for submissions on these topics: Sound Art, Immersive Media, Digital Cinema, Bio Art, Software Art, Digital Animation, Digital Photography, Robotics, Gaming, Digital Poetics, Digital Humanities, Creative Coding, Digital Fabrication, Physical Computing, Digital Preservation, Curatorial Practice, Brain-Computer Interface, Pedagogy, Aesthetics, Ethics, Politics, Philosophy and Other Topics Pertaining to AI, Machine Learning and Art.

More information on Call for Submissions:
https://www.cityu.edu.hk/artmachines2/submission-types

#artmachines2

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
JCRAI 2021-Ei Compendex & Scopus 2021   2021 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2021)
CFDSP 2022   2022 International Conference on Frontiers of Digital Signal Processing (CFDSP 2022)
A FOCUS ON PEDAGOGY 2022   A FOCUS ON PEDAGOGY: TEACHING, LEARNING AND RESEARCH IN THE MODERN ACADEMY
MLDM 2022   18th International Conference on Machine Learning and Data Mining
CVPR 2022   Computer Vision and Pattern Recognition
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
AISTATS 2022   25th International Conference on Artificial Intelligence and Statistics
SI-DAMLE 2022   Special Issue on Data Analytics and Machine Learning in Education