Artificial intelligence for art AIA:
Computational creativity, Neural networks, Simulating human activity.
Track chair Robert B. Lisek (Institute for Research in Science and Art).
We observe the success of artificial neural networks in simulating human performance on a number of tasks: such as image recognition, natural language processing, etc. However, There are limits to state-of-the-art AI that separate it from human-like intelligence. Today’s AI algorithms are limited in how much previous knowledge they are able to keep through each new training phase and how much they can reuse. In practice, this means that it is necessary to build and adjust new algorithms to every new particular task. This is closer to a sophisticated data processing than to real intelligence. This is why research concerning generalization are becoming increasingly important.
Processes such as intuition, emotions, planning, thinking, and abstraction are a part of processes, which occur in the human brain. A generalization in AI means that system can generate new compositions or find solutions for new tasks that are not present in the training corpus. There is a domain called AGI where will be possible to find solutions for these problems. Artificial general intelligence (AGI) describes research that aims to create machines capable of general intelligent action. “General” means that one AI program realizes a number of different tasks and the same code can be used in many applications. We must focus on self-improvement techniques e.g. reinforcement learning and integrate it with deep learning, recurrent neural networks, and random walks generators.
Based on the first call for topics, the call is now open for individual submissions within the following tracks:
01.Track: Arab revolutions: Refugees, Communication technology, Mobile connectivity.
02.Track: Terrorism machines: Art production, Sociopolitical implications.
03.Track: Fourth Industrial Revolution (IR 4.0): Art, Cyberphysics, Automated creativity.
04.Track: The Battlefield of Vision: Perceptions of War and Wars on Perception.
05.Track: Internet of things: Dystopian Artificial Intelligence, Black Boxes.
06.Track: Living machines: Wars within living organisms.
07.Track: Artificial intelligence for art AIA: Computational creativity, Neural networks, Simulating human activity.
08.Track: Permanent Telesurveillance: Privacy, data protection, panopticon.
09.Track: The Politics of Evidence: Refugees, Frictions, Sound-representation.
10.Track: Body-politics of the machines: Troubles WITH/IN/OUT art, body, perception, politics, and technology.
11.Track: The Ecosystem Analogy: Machinery of Nature, Borrowed landscapes, Anthropology of the near.
last updated January 8th, 2019
Notification of acceptance will be announced by the end of March 2019.
Individual proposals should consist of a 300-word abstract.
All submissions will be reviewed, according to the highest international academic standards.
Submitters should also upload a short bio file, no longer than a ½ page per person.
Please note that there will be a conference fee payable by all participants and delegates of the conference (Fees and packages will be announced in January 2019).
POM Beirut 2019 committees
last updated January 8th, 2019
POM Series executive committee
Dr. Morten SØNDERGAARD and Dr. Laura BELOFF.
POM Beirut 2019 Steering Committee
Dr. Morten SØNDERGAARD, Dr. Laura BELOFF, Dr. Hassan CHOUBASSI, Mr. Joe ELIAS, and Mrs. Sahar CHARARA.
POM Beirut 2019 Organizing Committee
Dr. Hassan CHOUBASSI, Mr. Joe ELIAS, Mrs. Sahar CHARARA, Dr. Fadi YAMMOUT, Dr. Walid RAAD, Ms. Fatima ABOU NASSIF, and Mr. Tarek Mourad.