About ISCMA 2019

Art Machines: International Symposium on Computational Media Art will take place from 4th -7th January 2019 at the School of Creative Media, City University of Hong Kong. ‘Art Machines,’ will bring together Academics, Artists and Professionals in the field of Computational Media Art in a four-day symposium whose core theme will be the topic of Machine Learning and Art.

This agenda-setting Symposium will provide an opportunity for in depth reflection upon and assessment of the impact of artificial intelligence on the making of computational art and media, as well as to reflect more broadly on the conditions of existence, range, and futures of computationally based art and media. In addition to the academic keynotes, panels and discussion forums the conference will include the presentation of artistic projects, a major concurrent exhibition on Asian Digital Art and a student-led Workshop.

News

Extended Deadline! Don’t miss this incredible opportunity!

The deadline for call for papers has been extended to the 1st of September 2018.

Submissions are welcome in the following areas: Machine Learning and Art, Sound Art, Immersive Media, Digital Cinema, Digital Animation, Gaming, Computational Humanities, Creative Coding, Digital Curation, Digital Fabrication, Physical Computing, Digital Preservation, Urban Media, Brain Computer Interface.

Please click on Call for Papers for more details.

Submit your proposal and be part of an extraordinary symposium!

Publication Opportunities: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) - Special Issue in AI and Art

This special issue of ACM Transactions on Multimedia Computing, Communications, and Applications provides an opportunity to bring together multimedia computing, big data analytics and systems, machine and deep learning, artificial intelligence, computer graphics researchers along with visual artists, designers and practitioners with diverse backgrounds to contribute papers on theoretical, methodological and practical issues on art and design creation and evaluation related big data, machine learning and AI. Topics may include, but are not limited to: