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      AIA: Artificial intelligence for art

      Electronic Visualisation and the Arts (EVA)
      Electronic Visualisation and the Arts
      9 - 13 July 2018
      Artificial intelligence, Recurrent neural network, Reinforcement learning


            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.


            Author and article information

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

            Enschede, Netherlands
            © 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
            London, UK
            9 - 13 July 2018
            Electronic Workshops in Computing (eWiC)
            Electronic Visualisation and the Arts

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2018.5
            Self URI (journal page): https://ewic.bcs.org/
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Recurrent neural network,Artificial intelligence,Reinforcement learning


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