Composing music
AI has been proven to have an important place in music. Until recently, most AI efforts had been on composition and improvisation systems. Little effort had been devoted to performance since the 1950s. However, in1958, Hiller and Isaacson pioneered the ILLIAC computer, which is best known as a music computer. The Illiac Suite composed song following the "generate and test" problem-solving method. It generated notes randomly using Markov chains.
As years went by, the composition of music and AI systems used to do so have advanced significantly. With the rise of social media, artists are now using AI to make music. AI is reflecting the changing nature of art in the world. AI and social media have influenced the expansion of art. From the artists' perspective, the internet gives them the ability to produce work that can reach many viewers and connect better. AI, which is essentially a pattern-recognition system, finds patterns in data fed into it and makes decisions based on these patterns.
A good example is the Schubert symphony, where AI determined the musical notes and where they should be placed. As AI matures, its potential in the creative industry also grows. This can be seen in its ability in the music industry, where AI is beginning to create, perform and monetize social compositions.
Synthesizing Expressive Music
One key limitation of computer-generated music has been the lack of expressiveness (gesture). This is known as the nuances of performances, which can be unique and interpretive. However, this has been one of the areas studied since the 1990s when Johnson developed an expert system to determine tempo and articulation that needs to be applied. Past studies have shown that AI can deal with expressive parameters of music like articulation, dynamics, and rubato.
Music improvisation
Improvisation of music is a complex creative process that AI has successfully managed to model. It is more complex than composition. Before the 20th century, humans did all improvisation, composition and performance. However, after that, performers have faced a rise in recording techniques that have constantly delivered flawless performances. With the rise of technology, composers have abandoned serious improvisation of music or performance. On the other hand, procedures and mathematical models that mirror technological developments fascinated modernists. With the ultra-modern compositions demanding high modernism and machine-like accuracy from performers, there was a demand for robotic precision.
Visual arts and AI
Professionals in visual arts use AI to create artworks. With AI, users can construct personal datasets to help find underlying concepts. Through AI, hidden traditional clues can be identified to help expand the limits of artwork. AI can also be used to breed two images to create new ones. Stylize images using applications like Google Deep Dream and apply different styles to works of art like pictures using AI image generators.
Furthermore, AI can be used to create a portrait one's self or a picture. Modern AI tools for art need minimum direction, and they can generate new concepts independently. With the abilities of this software, users can produce art that is meaningful because it is drawing its knowledge from human experience.
