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15 Interesting AI Experiments You Can Try Online

Artificial intelligence experiments let you see some of the amazing stuff AI is capable of. From creating realistic people who don’t exist to helping you compose incredible soundtracks of your life, you’ll find AI experiments come in a wide variety of purposes. It’s also eerie just how good these are. If you’ve always been curious about what AI can do, give these experiments a try right in your browser with no special hardware needed.

What Is Artificial Intelligence?

1. this person does not exist, 3. cyborg writer, 5. evolution by keiwan, 6. i told you this was a bad idea, 8. text analytics, 9. deepbeat, 10. akinator, 11. autodraw, 12. semi-conductor, 13. teachable machine, 14. semantris, 15. talk to books, frequently asked questions.

Artificial intelligence, or AI for short, is a specialized type of computer science that’s able to mimic human intelligence. Instead of being limited to just what a human programmer tells a computer to do, AI continues to learn and adjust based on interactions and feedback.

While AI is becoming increasingly more intelligent and prevalent in everyday life, it’s actually been around for years. Some of the ways you interact with it daily include:

• Email spam filters (AI might not be perfect, but it does keep out a surprising amount of spam.)
• Smart assistants like Siri, Alexa, and Google Assistant
• Streaming service recommendations on what to watch next
• Self-driving cars (You may not interact with them daily, but they are on the roads in many areas.)
• Online shopping
• Online banking, especially smart alerts regarding suspicious usage

AI can be classified as narrow or artificial general intelligence (AGI). Narrow AI focuses on single tasks, such as Google’s search engine or smart assistants. They’re programmed specifically to perform and learn more about a specific purpose and that’s all.

AGI encompasses more in-depth AI, such as deep learning and machine learning. This is the far more complex version. Programs are essentially fed data to help them learn as much as possible. The program then continues to learn and adapt without a programmer needing to continually add more code. This is the type of AI that functions more like a human brain. As more data is received, more connections are made, helping AI programs make real-time decisions about various situations.

Deep learning is more advanced than machine learning, making it more human-like. Self-driving cars are a good example, as they have to adapt to constantly changing driving conditions.

Now that you have a basic understanding of AI, let’s get on with some ways to experience it from your browser.

The days of obviously fake photos are long gone. If you want to be amazed at how accurate artificial intelligence experiments can be, just play around with This Person Does Not Exist .

By using images of actual humans, the AI tool generates completely fake, yet realistic images of people who don’t exist. The only real indication that these aren’t real photos is the surrounding area around the face. You’ll see blurring and and weird things like extra fingers on a hand that just happens to also be in the picture.

You can also learn how to train your own version, along with trying out a version specifically for art, cats, horses, and more.

This AI experiment takes text captions and turns them into images. Be prepared for some very strange images, though. It’s a very crude representation, but you can usually see something at least a little similar to what you type. The tool uses AttnGAN from Tao Xu mixed with Runway, which is an AI video-editing software.

You can also give Runway’s main software a try for free. You’re limited to 15 minutes, but it gives you even more AI to play around with.

Writing generators are nothing new. However, Cyborg Writer takes a slightly different approach. You write a sentence, or nothing at all, and you’ll get new lines based on a writing style you choose, such as Taylor Swift, Shakespeare, and even Linux Kernel.

Of course, most of it is nonsense, but it’s still fun to play around with. When I tried Pop Music, the lyrics really did fit with common pop songs. The same holds true for Shakespeare and Linux Kernel. Mix the styles up and you really will get a mind blowing piece of work.

Want to see your very bad drawings turned into more realistic images? Pix2Pix does just that. If you’re a terrible artist like me, the realistic rendering might look more like a horrific blog.

The tool features several different types of images you can try to draw, including cats, buildings, purses, and shoes. The examples shown on the site before you start trying to draw your own look far better than anything I came up with as the strange black blob with a tail shows in the above image. Yes, it was supposed to be a cat.

For a more game-like experience, try Evolution by Keiwan . You build a creature using joints, bones, and muscle. The tool then uses AI to simulate movement based on your design. With each generation, your creature evolves to get become better at movement.

It seems simple enough, but it is interesting to see how your creations change and move. Plus, it’s just fun to see if you can create something that moves and lasts throughout generations or just falls flat.

Another game-like AI experiment is I Told You This Was a Bad Idea . If you ever played text-based games on DOS, this may seem familiar. However, you’re not limited to just specific words, phrases, or commands.

This game uses AI to provide matching responses based on questions you ask. It’s your job to ask the right types of questions to get out of the situation. Actually, you have to ask the right questions to even figure out the situation. It’s fun and changes every time you play. Some responses are the same, but it’s surprisingly good at matching responses with your questions.

Hate trying to come up with the perfect font pairing? Let Fontjoy do it for you. This experiment lets you combine up to three fonts. You choose whether you want them anywhere from extremely different (high contrast) to extremely similar (low contrast). You can lock fonts you want to keep once they pop up.

Start by generating three random fonts that fit your matching criteria. You can click a font at any point to see best matches. It’s fun for font lovers and anyone trying to come up with fonts for a project.

Microsoft AI has a several AI demos you can test out, including Text Analytics . You enter your text, which can be short or longer, and the AI tool analyzes it to judge the sentiment, link to relevant Wikipedia articles, and generates search results cards from Bing.

You can try out other Microsoft AI demos , too, to see what types of projects Microsoft is working on and better understand how AI works in general.

Coming up with rap lyrics isn’t easy. If the words aren’t flowing, try DeepBeat . It’s an AI rap lyric generator that allows you to add your own lines, customize keywords and themes, and get suggested rhyming and keyword lines based on individual lines.

It’s a fun experiment that provides endless entertainment and ideas. Some of the lines don’t make much sense, but others actually aren’t bad. If nothing else, it’s a good way to give you ideas and help you create some impressive lines of your own.

The Akinator AI experiment mimics the game 20 Questions. By using AI, the game guesses what you’re thinking about using a series of questions. You can answer Yes, No, Don’t Know, Probably, and Probably Not. You can choose to think of a character, animal, or object.

While the questions start out fairly general, they quickly get more specific, such as asking if the animal I was thinking of originated in Russia. I tried answering a few questions wrong just to see what would happen, but it still guessed correctly.

Experiments with Google

Some of the most interesting artificial intelligence experiments come courtesy of Google . These are different than Experience AI in a variety of ways, including everything from creating a machine learning tool to drawing. While I won’t list every one of Google’s AI experiments, you should definitely try at least a few of the following.

If you’re not the best artist, AutoDraw is a must have. You start with a crude representation of a shape and then get suggestions of what you might be trying to draw. For example, I attempted to draw a moon and immediately got suggestions for a moon, elbows, and bananas. All similar to what I drew.

You can also try Quick, Draw! , which is an AI game that gives you a word to draw. The AI component tries to guess your drawing in less than 20 seconds. It’s like Pictionary – but with AI.

Wish you could conduct a symphony in the privacy of your home? Semi-Conductor lets you do just that. By using your webcam, you conduct a symphony using different arm movements. It may feel silly at first, but then you can really get into it. I got to conduct Eine Kleine Nachtmusik during my session.

Another fun music option is A.I. DUET where an AI pianist plays along with you.

You don’t need to be an experienced programmer to develop your own machine learning model. Teachable Machine lets you do this with no experience or coding necessary. This is a more in-depth experiment.

You’ll have the chance to actually teach and train your model using your own examples. You’re able to use images, sounds, poses, and more. You’re free to use your final project however you wish, including hosting it online for free. If you’re not sure what’s possible, check out some of the sample projects and tutorials on Teachable Machine’s main page for inspiration.

Semantris is a fun word association game that uses machine learning. It uses semantic search and natural language understanding technology to match what you type to the words in the list.

Arcade is a more fast-paced version, and it’s impressive to see how quickly the AI responds to the words you type. You can also try Blocks: a slower version that uses blocks versus just a word list.

If you like the AI games, you may want to try some hidden Google games .

Also read: 20 Hidden Google Games for You to Play

Finding something interesting to read next isn’t always easy. Let the AI experiment Talk to Books help. Simply enter a sentence or question to get recommended books based on passages in those books. For example, I asked “what are some great sword fights” and was presented with five passages from five different books, including “Clash of Kings” by George R.R. Martin and “Skin Game” by Jim Butcher.

It’s recommended to use natural wording versus just a keyword to get better results. It’s a fun way to find books and experiment with AI at the same time.

Can I create and submit my own experiment to Google?

Yes. If you’re working on something or want to use any of Google’s experiments to create your own, you’re welcome to submit to Google . Google is looking for innovative ideas, so be creative in how you use technology in order to be accepted.

What are some ways AI is being used to improve the world?

While viewing and shopping recommendations are useful, they don’t necessarily improve the world. The AI experiments above represent just a fraction of what’s possible. Microsoft’s AI for Good project showcases ways that AI is helping making the world better. For instance, Seeing AI helps those with vision impairments better see the world around them.

How can I learn more about artificial intelligence?

One reason artificial intelligence experiments like the ones above are so important is that they make AI seem easier to understand. If you want to learn more without getting a headache from too much tech jargon, check out Code.org’s AI section. Not only does it break down AI concepts, it gives in-depth examples, interesting projects, and even educational materials for teaching AI to others.

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Crystal Crowder has spent over 15 years working in the tech industry, first as an IT technician and then as a writer. She works to help teach others how to get the most from their devices, systems, and apps. She stays on top of the latest trends and is always finding solutions to common tech problems.

AI Experiments

AI + Writing

Over the past 6 months, Google’s Creative Lab in Sydney have teamed up with the Digital Writers’ Festival team, and an eclectic cohort of industry professionals, developers, engineers and writers to test and experiment whether Machine Learning (ML) could be used to inspire writers.

These experiments set out to explore whether machine learning could be used by writers to inspire, unblock and enrich their process.

AI + Learning

Teachable machine, what neural networks see, visualizing high-dimensional space, ai + drawing, quick, draw, sketch-rnn demos, handwriting with a neural net, freddiemeter, semi-conductor, all ai experiments, mood board search, look to speak, byotm (bring your own teachable machine), lipsync by youtube, tiny sorter, interplay mode.

Lab Sessions: A new series of experimental AI collaborations

Aug 02, 2023

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We’re introducing a new way to showcase our existing and future collaborations with people across disciplines like artists, academics, scientists and entrepreneurs.

Whether we’re developing products, advancing hardware or conducting new research, we know the most important thing is putting technology in the hands of actual people. For years we’ve been collaborating with individuals and communities across a variety of fields to shape emerging technologies to meet their own unique needs.

Labs.google is a place where we continue to experiment with AI: testing hypotheses, learning from one another and creating new technology together. But we also want to create a way to showcase our existing and future collaborations across all kinds of disciplines.

That’s why we’re announcing Lab Sessions, a series of experimental AI collaborations with visionaries – from artists to academics, scientists to students, creators to entrepreneurs. You can view our first three sessions below or at labs.google/sessions .

Dan Deacon x Generative AI

One of our most recent Sessions was with composer and digital musician Dan Deacon. Dan teamed up with Google Researchers to create a pre-show performance for Google I/O 2023. Dan experimented with our text-to-music model, MusicLM , to create new sounds for a new song. He used Bard , our conversational AI, to help him write a guided meditation. And he explored our generative video model, Phenaki , turning his lyrics into visuals projected on stage. Experiment with Bard and MusicLM yourself.

Lupe Fiasco x Large language models

We’ve also collaborated with rapper and MIT Visiting Scholar, Lupe Fiasco to see how AI could enhance his creative process. As we began to experiment with the PaLM API and MakerSuite , it became clear that Lupe didn’t want AI to write raps for him. Instead, he wanted AI tools that could help him in his own writing process.

So we set out to build a new set of custom tools together. Lupe’s lyrical and linguistic techniques brought a whole new perspective to the way we prompt and create with large language models. The final result is an experiment called TextFX , where you’ll find 10 AI-powered tools for writers, rappers and wordsmiths of all kinds. Give it a try and if you want to take a closer look into how the experiment was built, check out this blog post or the open-sourced code .

Georgia Tech and RIT/NTID x Sign language recognition

Since last year, we’ve been working with a group of students from the Georgia Institute of Technology and the National Technical Institute for the Deaf (NTID) at the Rochester Institute of Technology (RIT) to explore how AI computer vision models could help people learn sign language in new ways.

Together with Google researchers and the Kaggle community, the students came up with a game called PopSignAI. This bubble launcher game teaches 250 American Sign Language (ASL) signs based on the MacArthur-Bates Communicative Development Inventories, which are the first concepts used to teach a language to a child. Ninety-five percent of deaf infants are born to hearing parents, who often do not know ASL.

You can download the game on the Play Store and iOS app store to try it out yourself or head over to popsign.org to learn more.

Looking forward

It takes people with curiosity, creativity and compassion to harness AI’s potential. We’re excited to share more Lab Sessions and see where we can take AI together.

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