Introducing Synthography: A New Term for AI Art
Art has always been a medium for human expression, but with the advent of artificial intelligence, we are witnessing a new era in the creation of digital art. This new form of art, created by algorithms and artificial intelligence, is known as AI art, and it has been gaining popularity and recognition in recent years. However, AI art encompasses a wide range of styles, techniques, and media, and it can be challenging to define what constitutes AI art. That's why it appears that Elke Reinhuber has proposed a new term to describe this type of art: Synthography.
What is Synthography?
The term Synthography combines the words "synthesis" and "photography." It describes the process of synthesizing images using artificial intelligence algorithms, similar to how photographs are taken using cameras. Synthography refers specifically to AI art that involves the creation of images and animations, rather than music or other forms of art.
The term Synthography is meant to differentiate AI art from traditional forms of art and photography. Unlike traditional art, which is created by human artists using physical tools and materials, Synthography is created by algorithms and artificial intelligence. And unlike photography, which captures real-life scenes, Synthography creates images from scratch, often drawing on data sets, algorithms, and machine learning models.
The Characteristics of Synthography
Synthography has several characteristics that set it apart from traditional art and photography. These include:
- Automated Creation: One of the defining features of Synthography is that it is created by algorithms and artificial intelligence, rather than human artists. The process of creating Synthography involves feeding data sets and algorithms into machine learning models, which then generate images and animations.
- Data-Driven: Unlike traditional art, which is often inspired by personal experiences or emotions, Synthography is driven by data. The images and animations generated by Synthography algorithms are often based on data sets, such as images or text, that are fed into the machine learning models.
- Experimentation: Another characteristic of Synthography is its emphasis on experimentation. Unlike traditional art, which is often created with a specific goal in mind, Synthography often involves exploring the possibilities and limitations of AI algorithms and machine learning models. As a result, Synthography often leads to unexpected and unique images and animations.
- Variability: Because Synthography is created by algorithms, the same data set can generate different images or animations each time it is run. This variability is a unique characteristic of Synthography, as traditional art is usually created with a specific intention and result in mind.
- Interactivity: Many Synthography algorithms allow for user interaction, meaning that users can modify the data sets or algorithms to generate different images and animations. This interactivity is another way in which Synthography sets itself apart from traditional art.
The Potential of Synthography
Synthography has the potential to revolutionize the world of digital art. The combination of artificial intelligence and machine learning allows for the creation of images and animations that would be impossible for human artists to create. The ability to generate unique images and animations from data sets also opens up new possibilities for art, such as creating animations from scientific data or creating images from text.
In addition, Synthography has the potential to democratize the art world by making it easier for people to create digital art. With Synthography algorithms, anyone with access to a computer and the right tools can create digital art, regardless of their artistic skills or experience.
Art has always been a way for human artists to express themselves and communicate their experiences and emotions to others. With the advent of artificial intelligence and machine learning, we are witnessing a new era in the creation of digital art, dubbed Synthography.
Synthography is a form of AI art that involves the creation of images and animations using algorithms and artificial intelligence. It is different from traditional art and photography in several ways, including its automated creation, data-driven approach, emphasis on experimentation, variability, and interactivity.
As the field of Synthography continues to grow and evolve, it has the potential to revolutionize the world of digital art by making it easier for people to create art, opening up new possibilities for artistic expression, and allowing for the creation of images and animations that would be impossible for human artists to create.
Synthography is a new and exciting field with tremendous potential, and I can't wait to see what new and innovative forms of AI art will emerge in the years to come.
(This article was partially / mostly written by an LLM)