Artificial Intelligence in the Arts

Throughout the semester, we have drilled through video games, database systems, artificial intelligence how computer science relates to the world around us. But what we have not discussed yet is that all these themes of computer science, such as pep8, pseudocode, gates, circuits, etc., are related to our art world such as dance, music, live broadcast is. As audiences listening to music and watching the performance of dance and theater, people think the whole production is rooted in the creativity of perfectly related people.

A folk culture developed by researchers at Kingston University and Queen Mary University in London is one of many projects to explore the intersection of artificial intelligence and creative art. Folk-rnn's performance is full of obsession, awe and fear, and you can see that the conquest of soulless machines is widely recognized as the exclusive area of ​​human intelligence. But these adventures are seeking new ways to work with people and machines. Like many other AI products, people use a machine learning algorithm which is a subset of artificial intelligence. Instead of relying on predefined rules, machine learning captures a large number of data sets, mathematically expresses the patterns and dependencies found, and uses them to complete tasks.

The most advanced artificial intelligence is machine learning, but the Holy Grail of Artificial Intelligence realizes general artificial intelligence. A generic AI can be defined as machine intelligence that allows a human to successfully do whatever he can do. Unlike modern machine learning algorithms, humans can acquire new skills and adapt themselves to new situations without the need of professors, but modern machine learning algorithms have to be trained on specific tasks . The idea of ​​creating general artificial intelligence opens a whole new possibility beyond the scope of this article. Furthermore, according to the opinion of experts, we are still moving on to general artificial intelligence, but this is the place where design thinking enters.

We have not yet implemented "strong" artificial intelligence (also called artificial intelligence) that can achieve all intellectual tasks human beings can achieve. However, significant advances in artificial intelligence over the past few years have shown that strong artificial intelligence can be achieved in the near future. Artificial intelligence requires appropriate machine learning algorithms, data and computational power. Many of today's most promising artificial intelligence techniques use neural networks. Neural networks can be small, simple, or large and powerful. The larger the neural network, the stronger it is. To achieve the limits of neural networks as well as today's artificial intelligence capabilities, a powerful computer chip