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AIA: Artificial intelligence for art
Author(s) -
Robert B. Lisek
Publication year - 2018
Publication title -
electronic workshops in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 1477-9358
DOI - 10.14236/ewic/eva2018.5
Subject(s) - computer science , reuse , code (set theory) , artificial intelligence , domain (mathematical analysis) , artificial general intelligence , action (physics) , symbolic artificial intelligence , artificial intelligence, situated approach , applications of artificial intelligence , programming language , engineering , set (abstract data type) , mathematical analysis , physics , mathematics , quantum mechanics , waste management
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.

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