Gcool Tech

AI as the tool for inspiration and creativity

By teaching AI about Georgia O’Keefe, Vincent Van Gogh and Jackson Pollock, you can identify and recreate the designs of all these artists.

At one time, AI was used to help people perform various tasks using computers. Whether for productivity, decision-making, or personal assistance, AI has made strides in learning the structure and responding to the obscure human brain.

We are now seeing a shift in the use of artificial intelligence in creative projects. Artificial intelligence can depict different processes, and artists are using them as tools to grow creative boundaries in ways never before seen.

Robotics and embedded intelligence are closely related. The combination of these two disciplines is another area of artificial intelligence for creating smart robots. Examples of intelligent robots include the toy characters Pleo, AIBO, and QRIO. If you have any creative ideas in mind, with help of ML companies, like Serokell, you can realize your wishes.

Some examples of AI art

Artist Gene Cogan experimented with AI Style Transfer, where an algorithm transforms one image style into another. Cogan used this video technique to capture the Alice in Wonderland tea party scene with many different images.

Expanding the creative capabilities of the performer with embedded intelligence opens the door to the development of innovation. At IBM, we call it AI development. We aim for embedded intelligence to enhance human intelligence rather than control it completely.

Edmond de Belamy experimented with the generative adversarial network or GAN. This mechanism takes large sets of training data, such as images of portraits from the 14th to the 20th century, and tries to create its own unique work that resembles this style. The success of the experiment was assured. Bellamy successfully sold the first work created by artificial intelligence for $432,500 at a Christie’s auction. Interestingly, he signed the portraits created by the algorithm because, after all, it was the algorithm and not him.

Ross Goodwin collaborated with director Oscar Sharpe to make the first short film about artificial intelligence. Goodwin began working with LSTM, a neural network that can learn and formulate long phrases and even whole paragraphs. Sharpe took advantage of the fact that the AI wrote the script and made a short film based on it.

Sharpe continued his collaboration with Benjamin and directed two more films written by the AI. The question arises, “Will machines replace writers?” Literally, no. Sure, the script was completely silly, but it’s amazing to see people pushing the boundaries of AI writing and applying it to their work.

Artist Alexander Reben, who has conducted experiments on human-machine interaction, disputes the claim that “artificial intelligence will take jobs away from humans. Reben compiled an algorithm to parse all TEDTalk scenarios, and then taught the AI to create the scenarios on its own. He even created presentation graphics using the same process.

Companies such as Mattel are developing a range of toys with artificial intelligence for children ages three and up. Using proprietary artificial intelligence and speech recognition systems, they can understand conversations, produce clever answers, and learn quickly.

AI is also used in the gaming industry, such as in video games that use robots designed to act as opponents if humans become unavailable or undesirable.

Choreographer Wayne McGregor, in a collaboration with Google Arts & Culture Lab, used AI to track human body movements. By recording the movements, the AI was able to analyze and evaluate the style of certain dancers and provide different choreographic options.

The introduction of artificial intelligence technologies into medicine is one of the major trends in healthcare. Artificial intelligence and neural networks have the potential to change the possibilities of medicine: speeding up the development of new drugs, improving the quality of medical services in general, and reducing costs.

AI has become a wonderful aid to musicians. IBM Watson collaborated with Grammy-winning music producer Alex Da Kid to create the song “It’s Not Easy. Taryn Southern published her first solo album, “I AM AI,” which was written by artificial intelligence. The AI provided Southern with instrumental accompaniment while she wrote the lyrics and sang. The two artists used artificial intelligence-based neural networks to analyze sound, lyrics, musical composition and other factors to increase musical creativity.

New generation of Artificial Intelligence projects

Digital activist Joy Buolamwini informally expresses her bewilderment over AI systems from large tech firms, where she visually and poetically shows how the AI system repeatedly mistakes successful black women for men. Using AI to solve facial identification problems allows other advocates of AI ethics, such as Timnit Gebru, to continue to advocate for diversity in the development of artificial intelligence. If you are interested in more examples of AI creativity, read this post about AI designer’s work.

AI is a tool, but such tools can have their downsides. When using AI in design to optimize it, designers need to be aware that data is being fed into models for machine learning, so we need to make sure there is no bias.

Ultimately, people control what is produced in the world and what data goes into machine learning models. They control the tools that AI creates, how to use it, and decide what to create. Finding that balance is very important.

A machine shouldn’t be creative, but now it’s being taught to write movie scripts, do Da Vinci drawings and write other hits like “Hey Jude.” AI is a tool. Another pen, another brush. We want to find the right balance between machines and people. We want to get a machine that helps people build faster, think faster, and create faster.

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