Computer Art: Artificial Intelligence and the Arts

Leonardo ◽  
1983 ◽  
Vol 16 (1) ◽  
pp. 15 ◽  
Author(s):  
Stephen Wilson
Keyword(s):  
Artificial Intelligence ◽  
Computer Art ◽  
The Arts

scholarly journals Editorial. AI, Arts & Design: Questioning Learning Machines

Artnodes ◽  
2020 ◽  
Author(s):  
Ruth West ◽  
Andrés Burbano
Keyword(s):  
Artificial Intelligence ◽  
Historical Development ◽  
Machine Intelligence ◽  
Special Issue ◽  
Control Structures ◽  
Learning Machines ◽  
The Arts ◽  
Production Of Culture ◽  
The Relationship ◽  
Algorithmic Bias

Explorations of the relationship between Artificial Intelligence (AI), the arts, and design have existed throughout the historical development of AI. We are currently witnessing exponential growth in the application of Machine Learning (ML) and AI in all domains of art (visual, sonic, performing, spatial, transmedia, audiovisual, and narrative) in parallel with activity in the field that is so rapid that publication can not keep pace. In dialogue with our contemplation about this development in the arts, authors in this issue answer with questions of their own. Through questioning authorship and ethics, autonomy and automation, exploring the contribution of art to AI, algorithmic bias, control structures, machine intelligence in public art, formalization of aesthetics, the production of culture, socio-technical dimensions, relationships to games and aesthetics, and democratization of machine-based creative tools the contributors provide a multifaceted view into crucial dimensions of the present and future of creative AI. In this Artnodes special issue, we pose the question: Does generative and machine creativity in the arts and design represent an evolution of “artistic intelligence,” or is it a metamorphosis of creative practice yielding fundamentally distinct forms and modes of authorship?

The Arts and the Age of the Chip

2019 ◽  
pp. 303-316
Author(s):  
Steven J. Osterlind
Keyword(s):  
Artificial Intelligence ◽  
The Arts ◽  
Innovative Work ◽  
Elementary Explanation

This chapter provides the capstone to this book’s argument that humankind has adopted quantification as a worldview. It describes how quantification has permeated our lives, far beyond just academic formulas to all domains, whether mathematical or otherwise. Examples are given first from the intersection of mathematics and art in da Vinci’s drawings. Next, the connection between mathematics and music is made, with a discussion of J. S. Bach’s The Well-Tempered Clavier and music theory’s circle of fifths. The chapter then provides an elementary explanation of artificial intelligence (or AI, as it is commonly known) with Bayesian logic, and a discussion of Nick Bostrom’s idea’s that the possibility of a computer having “superintelligence” poses a supreme danger to humanity. In addition, the chapter describes Max Tegmark’s innovative work in astrophysics and his belief in a wholly mathematical universe as part of a larger four-system multiverse.

scholarly journals Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 130820-130839 ◽  
Author(s):  
Quoc-Viet Pham ◽  
Dinh C. Nguyen ◽  
Thien Huynh-The ◽  
Won-Joo Hwang ◽  
Pubudu N. Pathirana
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
The State ◽  
The Arts

scholarly journals Research on Artificial Intelligence Interaction in Computer-Aided Arts and Crafts

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Juqing Deng ◽  
Xiaofen Chen
Keyword(s):  
Artificial Intelligence ◽  
Computer Software ◽  
Development Trend ◽  
Computer Art ◽  
Arts And Crafts ◽  
Process Art ◽  
Computer Aided ◽  
Artificial Intelligence Technology ◽  
Art Design ◽  
The One

Background. With the continuous maturity of computer software and hardware technology, the theory and method of computer-aided art design have developed rapidly. Objective. Applying artificial intelligence theory to computer-aided process art design is one of the newly developed research hotspots, and it is also the development trend of industrial design modernization. Methods. On the one hand, it can transplant the research results in the field of artificial intelligence into computer-aided art design, and on the other hand, it expands the application field of artificial intelligence, so that the two can be perfectly combined to promote common development. Results. With the development of artificial intelligence technology, computer art has gradually become a very active field, and a large number of computer art works are available every year. Conclusions. This paper briefly describes the basic concepts of computer-aided art design and artificial intelligence and discusses the application of artificial intelligence in computer-aided art design.

scholarly journals Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

2020 ◽  
Author(s):  
Quoc-Viet Pham ◽  
Dinh C. Nguyen ◽  
Thien Huynh-The ◽  
Won-Joo Hwang ◽  
Pubudu N. Pathirana
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
State Of The Art ◽  
The State ◽  
Daily Lives ◽  
Recent Advances ◽  
The Arts ◽  
The World ◽  
Novel Coronavirus

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 215 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 14 April 2020, a cumulative total of 1,853,265 (118,854) infected (dead) COVID-19 cases were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify their applications in fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.

Sign in / Sign up

Export Citation Format

Share Document