Artificial intelligence in the creative industries: a review

نویسندگان

چکیده

Abstract This paper reviews the current state of art in artificial intelligence (AI) technologies and applications context creative industries. A brief background AI, specifically machine learning (ML) algorithms, is provided including convolutional neural networks (CNNs), generative adversarial (GANs), recurrent (RNNs) deep Reinforcement Learning (DRL). We categorize into five groups, related to how AI are used: (i) content creation, (ii) information analysis, (iii) enhancement post production workflows, (iv) extraction enhancement, (v) data compression. critically examine successes limitations this rapidly advancing technology each these areas. further differentiate between use as a tool its potential creator own right. foresee that, near future, ML-based will be adopted widely or collaborative assistant for creativity. In contrast, we observe that ML domains with fewer constraints, where ‘creator’, remain modest. The (or developers) win awards original creations competition human creatives also limited, based on contemporary technologies. therefore conclude industries, maximum benefit from derived focus human-centric—where it designed augment, rather than replace,

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Creative Destruction in Industries∗

Industries where prices decline rapidly experience early ‘shakeouts’. Existing models of the shakeout do not explain this negative relation between price decline and time to shakeout. We set up a vintage-capital model that explains this relation, and we provide some evidence in support of the mechanism that we propose. The relation emerges naturally in a vintage-capital model in which shakeouts...

متن کامل

Creative Industries from an Evolutionary Perspective: A Critical Literature Review

Although creative industries have been popular as a research topic among social scientists from various backgrounds, most studies lack an explicit evolutionary, history-informed perspective. In this paper, we critically explore whether the notions of evolutionary economic geography can contribute to analyzing and explaining the spatial dynamics of creative industries, which has not been done ye...

متن کامل

Artificial Intelligence in Canada: A Review

Canadians have made many contributions to artificial intelligence over the years This article presents a summary of current research in artificial intelligence in Canada and acquaints readers with the Canadian organization for artificial intelligencethe Canadian Society for the Computational Studies of Intelligence/Societk Canadienne pour l’lktude de 1’Intelligence par Ordinateur (CSCSI/SCEIO)....

متن کامل

Empirical Methods in Artificial Intelligence: A Review

behavior) and analysis of variance, including methods for detecting interactions among variables. A chapter on modeling covers the use of linear regression and related procedures in characterizing system behavior, and the final chapter presents tactics for generalizing from empirical results. One of Cohen’s most important points concerns the goals of empirical AI research. Repeatedly, he asks w...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Artificial Intelligence Review

سال: 2021

ISSN: ['0269-2821', '1573-7462']

DOI: https://doi.org/10.1007/s10462-021-10039-7