Humanity. We think, we build, we create. Our own curiosity pushes us toward a defined culture. What we call a beautiful painting or a moving symphony, only exists because we declared it. This attachment to the arts is how we differentiate ourselves from other beings. What would happen if that defining characteristic was possessed by not just humans, but other, inorganic life?
Machines can think, and we have made them so. A system of neural networks is used to estimate functions that depend on a large number of unknown inputs. Neural networks are labeled the tripe counterpart to AI, Artificial Intelligence. This technology is the intellectual ability exhibited by machines. It has flexible rational agents that perceives its environment or situation, and takes actions that maximize its chance of success. Artificial Intelligence is programed to learn.
Programming is the interface between machine and man. There is a clean, logical discipline with clearly defined aims. Programming rests in logic. Art lays in emotion. Art is an emotional subject, and in that, highly subjective and defying definition. By the nature of both of these mindsets, it’s strange to consider that their paths can converge. The first successful accomplishment of creating a computer that could comprehend music and in turn, create it’s own occured in 1951 with Alan Turing’s Mark II Computer. At this point, there were no screens so visual input was impossible. Instead, a variety of bleeps, noises and other sounds were used to understand processes. The computer demonstrated its understanding with a mix of taps, clicks and thumps, playing tunes such as God Save the Queen and Baa Baa Black Sheep. The result wasn’t exactly melodious, but at least it was rhythmic. AIs have been tested and developed extensively for face or speech recognition translation as well as calculating outcomes or problems. …show more content…
Today’s AIs and neural networks can not create art unless prompted to do so. However, once those rules and guidelines are laid out, they can make original work that man has never imagined.
Termed by developers and programmers as generative art processing, computers have the ability to conceive art. Generative art processing is defined as any art practice where the creator, developer, or programmer creates a process, such as a set of rules, computer program or machine. This then in turn is set in motion with some degree of autonomy contributing to or resulting in a complete work of art.
The process is a combination of art and programming. The cold, strict and logical process is subverted into creating illogical, unpredictable and expressive results. Yet, AIs and neural networks are still unable to comprehend the meaning or emotions associated with their work. The ability to feel genuine emotion for art still remains a characteristic that is distinctly human. Today’s technology has undeniably surpassed what was possible decades earlier. Recent projects are pushing more than ever to program emotion into machines. The Google Magenta is just one case of new possibilities. This project is a fresh attempt to see if AI machines can learn to create compelling art and music. The Google Brain AI team are currently developing various algorithms to see what will or will not prompt a computer to make art or music. In June of 2016, Google’s AI recently wrote its first original song. With this huge step in artificial intelligence, Google wants to advance machine generated art and
Machines can think, and we have made them so. A system of neural networks is used to estimate functions that depend on a large number of unknown inputs. Neural networks are labeled the tripe counterpart to AI, Artificial Intelligence. This technology is the intellectual ability exhibited by machines. It has flexible rational agents that perceives its environment or situation, and takes actions that maximize its chance of success. Artificial Intelligence is programed to learn.
Programming is the interface between machine and man. There is a clean, logical discipline with clearly defined aims. Programming rests in logic. Art lays in emotion. Art is an emotional subject, and in that, highly subjective and defying definition. By the nature of both of these mindsets, it’s strange to consider that their paths can converge. The first successful accomplishment of creating a computer that could comprehend music and in turn, create it’s own occured in 1951 with Alan Turing’s Mark II Computer. At this point, there were no screens so visual input was impossible. Instead, a variety of bleeps, noises and other sounds were used to understand processes. The computer demonstrated its understanding with a mix of taps, clicks and thumps, playing tunes such as God Save the Queen and Baa Baa Black Sheep. The result wasn’t exactly melodious, but at least it was rhythmic. AIs have been tested and developed extensively for face or speech recognition translation as well as calculating outcomes or problems. …show more content…
Today’s AIs and neural networks can not create art unless prompted to do so. However, once those rules and guidelines are laid out, they can make original work that man has never imagined.
Termed by developers and programmers as generative art processing, computers have the ability to conceive art. Generative art processing is defined as any art practice where the creator, developer, or programmer creates a process, such as a set of rules, computer program or machine. This then in turn is set in motion with some degree of autonomy contributing to or resulting in a complete work of art.
The process is a combination of art and programming. The cold, strict and logical process is subverted into creating illogical, unpredictable and expressive results. Yet, AIs and neural networks are still unable to comprehend the meaning or emotions associated with their work. The ability to feel genuine emotion for art still remains a characteristic that is distinctly human. Today’s technology has undeniably surpassed what was possible decades earlier. Recent projects are pushing more than ever to program emotion into machines. The Google Magenta is just one case of new possibilities. This project is a fresh attempt to see if AI machines can learn to create compelling art and music. The Google Brain AI team are currently developing various algorithms to see what will or will not prompt a computer to make art or music. In June of 2016, Google’s AI recently wrote its first original song. With this huge step in artificial intelligence, Google wants to advance machine generated art and