6 min read
Artificial Intelligence (AI) is radically redefining creativity, bringing new possibilities that were previously inconceivable. This is the concept of Data Empowerment from a creativity standpoint.
Already, with the help of computing technology, we can recreate paintings, mimic musical instruments, and so on. These emerging technologies continue to rise in popularity and influence our world in ways we could never have imagined.
Artificial Intelligence and Machine Learning are big data technologies widely adopted by industries such as finance, transportation, health, and more.
The applications of AI in the fields of the arts and social justice, however, have received less attention. For example, artists, inventors, musicians, and social justice activists use Machine Learning technologies to produce works of art and other entities.
In this article, we'll be exploring 10 top creative AI projects and the prospects of AI for the future.
What is AI?
Every day, we interact with AI without even realising it. Most people still associate AI with science-fiction films, but that is now a stale depiction, as AI has developed and become dominant in our everyday lives.
In today's world, AI has become a household name- and sometimes, even a household presence (hi, Alexa!). At TimeXtender, we see this shift and constant development as part of the Machine Economy.
It is fair to say that, although the concept is relatively new to mainstream society, AI has been around for a while. The modern field of AI came on the scene in 1956, and ever since, scientists have continued developing and improving artificial intelligence systems.
AI is ubiquitous- from locating local pizza spots to shooting spectacular sci-fi scenes in Hollywood. Thanks to technological advancements, AI has become essential to our daily lives.
Today, you no longer need to be as talented as Pablo Picasso or Leonardo da Vinci to create breathtaking works of art. Many designers and artists are now curating fine art pieces using this technology.
In this article, we dig into emerging exciting AI projects and what prospects could be for the art world.
Machine Learning is one of the most common forms of AI technology in development. A widespread use case for Machine Learning today is its ability to quickly process large amounts of data, which helps businesses make decisions much quicker. Machine-learning algorithms can be seen as idea-generators that "learn".
As you feed more and more data to a machine-learning algorithm, it gets even more accurate. Machine Learning is excellent for processing vast quantities of data and putting them in context for humans.
For example, suppose you're running a factory and using IoT devices. In that case, it should be possible for machine data to stream to your central location for analysis. Of course, the more connected devices you have, the better access you'll get to this data.
However, it’s quite a lot of information to process. Machine Learning analyses data rapidly and identifies patterns and anomalies.
For instance, if something is happening in your manufacturing plant, it can immediately inform you for quick decisions.
How AI will improve productivity and enhance opportunities for creative expression
Many sectors rely on creativity and innovative problem-solving, especially as they embrace AI technology. Some individuals worry that machines may replace people at their jobs. However, artificial intelligence is less likely to return natural human creativity.
Technology can and will affect innovation in many ways, but one thing is sure: human inventions are based on raw ingenuity and creativity - something AI definitely can't offer. Yet, AI technology is growing and aims to simplify our lives and extend the boundaries of what's possible for machines.
Let's dive into the ten top art projects leveraging AI technology to create unique digital art pieces.
Google Deep Dream
Our millions of computers never sleep. But that doesn't stop them from ‘dreaming’. While we sleep, play, and eat, our machines tirelessly interpret old data and spit out weird new material.
Deep Dream is software that detects and alters patterns in digital pictures. Depending on the input, the results can range from silly to artistic to nightmarish. The software is inherently unpredictable and exciting!
One of the best ways to understand how Deep Dream works is to look at yourself;
Google publicized its dreaming computers to understand better how Deep Dream handles particular types of output.
You can insert any image you want to generate a digitally constructed illustration of it in just seconds.
Google AI–Chimera Painter
A GAN-based ML algorithm (generative adversarial network) is used to create the Machine Learning model in Unreal Engine.
Although designed for game developers, Google AI-Chimera can be used to turn a rough idea into something realistic-looking in only seconds without prior artistic skills.
Dino-Bat Chimeras were generated using varying perceptual loss weights.
The AI artwork generator Artbreeder creates AI graphic material by fusing two photos. Combining the two photographs makes it possible to create multiple "children" images.
ArtBreeder offers a variety of styles from various periods, such as modernism, expressionism, and surrealism.
Just input the desired style, and the site generates a masterpiece for the chosen genre!
Runway ML is a program designed for creative people, with features such as artificial intelligence art, video manipulation, and photography, which convert images into beautiful videos.
The program aims to make tasks easier and faster through Machine Learning.
Runway ML website.
Magenta is a Google open-source project created to develop photos and videos using Machine Learning models.
Not only will this help to create new AI art, but it can also take existing data from pictures, music, or, in this case, art and manipulate them to produce even better pieces.
Besides its use for recreating works of art, Magenta’s utility includes creative applications, research notebooks, and professional-grade tools.
GoArt is an AI art generator you can use on your smartphone to generate various images and visual effects. If desired, you can print it out at 10MP as well.
The NFT creator app allows users to copy the aesthetic of famous artists like Pollock and van Gogh into amazing NFT collections.
The Wave-Making GPT-3
The GPT-3, a third-generation Generative Pre-trained Transformer developed by OpenAI, uses a small amount of text as input to produce a significant volume of accurate and complex machine-generated text.
Open AI website.
One of the critical components of natural language creation is natural language processing, which primarily focuses on producing text that is readable by humans.
The most recent AI development, GPT-3, produces recognizable language and has a level of comprehension unmatched by any prior instrument.
NVIDIA GauGAN Beta
The post-Impressionist artist Paul Gauguin inspired the naming of this AI art generator.
The technology can produce various landscapes like rocks and desolate skies, all of which are presented as breathtaking artificial intelligence-created works of art.
To begin with, the program is quite simple to use. It is also free for everyone to view and test out!
This is a new type of AI-powered art suite for photographers. It helps you edit, retouch, and publish your images with speed.
It's also an effective way to make it look like you have used expensive editing software like Photoshop or Lightroom. This is because Luminar seamlessly integrates with Lightroom Classic, Photoshop, Photos for macOS, and Microsoft Photos. This also means it can accommodate a variety of workflows.
OpenAI's DALLE 2
The AI-powered Dall-E.2 image generator features cutting-edge improvements. For example, it can understand your natural language prompts better than previous versions, giving you a level of control over subjects, styles, techniques, and camera angles previously unheard of, and it generates images of extraordinary quality.
DallE.2 can now also make edits in a way that makes Adobe's notoriously unapproachable Photoshop feel like a relic of the past. This software requires no previous experience and will allow you to edit out unwanted items with ease.
It enables you to capture an image or video and manipulate it in different ways without ever needing to touch the computer or any other interface. You can feed commands to Dalle like "make it sunset," or “put her in neon-lit cyberpunk”.
Who said data cannot be beautiful? Learn how AI and Machine Learning are used by creators.
The capacity to solve problems creatively is essential in a world where Machine Learning is quickly taking over. There is a lot of concern and discussions over the possibility that robots will take over most occupations as AI develops.
However, artificial intelligence is least likely to displace people in terms of creativity. Of course, technology will no doubt impact creativity in various ways, but creativity has one edge over artificial intelligence: creativity is fundamentally human.
That said, AI can and eventually will aid in optimizing the creative process. As with everything in life, the solution lies in finding the proper balance. We envision a world where AI would streamline content output, open up new mediums, and enhance functionality to optimize the creative process from beginning to end.
Most creators concur! They believe AI will replace boring tasks and they predict AI will take over the time-consuming processes involved in putting ideas into action.
We expect AI will free up time for creators to generate ideas for original approaches to problem-solving and design.
Verdict: can AI art fully substitute human-made paintings?
Art is a highly subjective matter, and one person's beauty is another person's trash.
Technology is dynamic, and it might not be too long before ideas that seemed utterly ridiculous a decade ago become reality. There are no forecasts for the foreseeable future about how AI and human-made art will vary.
Although AI assistants are mainly used in office settings right now, they're part of a trend that has been on the rise and will probably spread further into creative industries.
In the future, more advanced algorithms will emerge to generate more sophisticated content.
A combination of human and AI can drive us forward, not only in terms of creativity but in other fields.
Given these, one way to approach AI incorporation by human artists may be to allow the creation of content by them both in a complementary manner and in a way that increases the amount of creative content out there.
Quality data to build the AI and Machine Learning models that will allow us to create inclusive art will be required.
Artificial Intelligence, Machine Learning, And Data Management: bridging the gap
The next major shift in the world is about "getting smart."
Everything from light bulbs to vehicles is becoming digitalized, automated, and interconnected.
Organizations of all sizes and fields have already created intelligent machines, including AI-powered software, self-service assistants, Smart IoT sensors, and connected vehicles. AIs are now everywhere!
If we allow artificial intelligence to get more innovative and sophisticated, it will do us a lot of good. This would promote the production & distribution of marvelous creative works without human intervention.
Wrapping up - AI is the future!
The phrase "the future is now" never rang more true as it does today. Our world is ever-changing. A few years ago, AI-created artworks were just a bold dream; today, they are a reality.
We're just starting with AI, but there are endless possibilities to explore. So there is a lot to be excited about. The future may be uncertain, but AI will surely be part of it. As this technology evolves, we can expect new startups to provide innovative new services, and AI will probably reshape how businesses operate.
Artificial intelligence IS CHANGING the world as we know it, but no one knows precisely what that impact will be.
We believe that in order to make AI better and build a better future, we need quality data to power any AI system. We need transparency, full documentation and ethics to work with the underlying processes of these technologies that feel like magic.
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