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      AIA: Artificial intelligence for art

      proceedings-article

      Electronic Visualisation and the Arts (EVA)

      Electronic Visualisation and the Arts

      9 - 13 July 2018

      Artificial intelligence, Recurrent neural network, Reinforcement learning

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            Abstract

            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. There is domain called AGI where will be possible to find solutions for this problems. Artificial general intelligence (AGI) describes research that aims to create machines capable of general intelligent action. "General" means that one AI program realises number of different tasks and the same code can be used in many applications.

            Content

            Author and article information

            Contributors
            Conference
            July 2018
            July 2018
            : 26-31
            Affiliations
            [0001]Institute for Research in Science and Art

            Enschede, Netherlands
            Article
            10.14236/ewic/EVA2018.5
            3575b5f9-0361-48b7-95d0-77692b84e28c
            © Lisek. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2018, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Electronic Visualisation and the Arts
            EVA
            London, UK
            9 - 13 July 2018
            Electronic Workshops in Computing (eWiC)
            Electronic Visualisation and the Arts
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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