Art has been considered the exclusive domain of human creativity. AI researchers are designing tools to make machines creative in all the fields of art be it music, painting, culinary art, dancing, photography, or any other form of art by feeding the algorithm with the dataset and allowing AI to blend the style and produce the artwork. AI can tap the untapped possibilities in the creative realm.
How AI creates art?
AI art is created by using Generative Adversarial Networks (GAN) which consists of two machine intelligence: AI Generator and AI Discriminator. With the help of a large dataset, AI generator creates the random objects like sound, background, etc., and AI discriminator will take the input and matches them to artistic images that exist in the data set.
Credit: The Next Rembrandt
AI could help in creating a new genre of artwork. We have associated various applications of ‘AI in art’ in the following domains:
AI in Architecture:
Today, Revolutionary transformation has been visible in the architectural sector because of the involvement of AI. It has shortened the Planning process by giving access to a countless amount of data, creating models, testing different building environments, and estimating budget at the same time.
Credit: Zaha Architects
Generative design tool by Sidewalk labs uses computational design and machine learning to create possible urban planning scenario’s for architects using street layout, geographical information, weather patterns, orientation, and other useful details as input data to assess and refine before finalizing the design.
AI in Culinary :
Cognitive cooking is empowering chefs to co-create something unusual that stimulates the taste buds.
Chef Watson, an AI-enabled project by IBM functions as a digital culinary research assistant. Chef Watson has access to database rich in different recipe ratios and flavor profiles with the ability to assist anyone in creating unique dish combination as a food specialist. The user is required to begin by providing input like desired ingredients into the program, cooking style, and AI will show creative combinations as the output.
AI in Painting:
Many artists are inclined towards technology to draw or paint their masterpiece with unique ideas.
Elgammal, a professor from Rutger’s University runs Art and AI lab where he and his team are exploring ways to generate new “art” with AI using the “Creative Adversarial Network (CAN)” approach. He theorizes that based on the current techniques and styles, AICAN can predict the upcoming trend. The drawing bot by Microsoft can draw pictures from the text-based description.
AI in Animation:
AI technology has expedited the whole creation operation and refined all activities by handling all of sort of tedious tasks. Jiayi Chong, a developer from Pixar has built a tool called Midas Creature where animators provide instructions to an automated engine, and the software interprets the character and figures out how it would move.
AI in Choreography:
AI can be used to help choreographers in combing different dance styles and come up with original ideas for hybrid dance styles. British Choreographer, McGregor is experimenting with AI technologies to invent some creative work styles.
Above mentioned works were just the glimpses of creative work generated by AI. AI art software provides opportunities for us to push our creative boundaries. In the future, the best creation will be developed by collaboration between humans and machines. It’s time for us to use technological scaffolding and push the boundaries of human imagination.