Google has a new AI tests that you can run and play with this moment. Furthermore, in light of the fact that few of these analyses rely upon machine taking in, your immediate connection will really help improvement. Here are a portion of the best Google AI Experiments that you can play with the present moment.
Please note that some of the experiments require access to a camera, either through your desktop or an Android device.
I’ve had a considerable amount of fun with Thing Translator. Why? Since you can stroll around your home, examining things, tuning in to the moment interpretations into one of nine dialects. It is shockingly addictive.
Thing Translator doesn’t realise what everything is, except it tries to interpret anything you toss at it. For a few articles, it defaults to “picture,” and certain spaces default to “outline.”
Thing Translator is already in use in several places, and you can use it so long as you have an internet connection. As the algorithm learns, the precision of its translated results will increase. Expect to see it as an integrated Android feature, or at least as an app marketed at travellers.
NSynth is another slightly addictive Google AI Experiment. It is a “sound maker,” allowing you to “make unusual new sounds with machine learning.” But what does that mean?
Well, you choose one sound, such as the harp, and combine it with another sound, such as a cat meowing. Yes. A harp. And a cat’s meow. Did I mention that the sounds were unusual?
Below is a video of my kids and I combining sounds, so you’ll get a real picture of how NSynth works.
NSynth: Sound Maker doesn’t appear to have any overarching use, except for the design of interesting new sound combinations. However, I’m not a particularly musical individual. Consequently, you might find vastly more value in this Google AI Experiment. The crazy combinations might be exactly what your band/orchestra/DJ-set has needed to push toward international stardom.
The Infinite Drum Machine combines thousands of everyday sounds into a single, easy-to-control drum machine. The creation of this AI experiment was interesting (and ongoing). The machine learning algorithm organizes sounds, but isn’t given any descriptions or tags. Instead, it places similar sounds close together.
I couldn’t discern any real use for NSynth. And while The Infinite Drum Machine might seem like another cacophony of noise, the organizational algorithm behind it — t-distributed stochastic neighbor embedding or t-SNE — is already used in cybersecurity, cancer research, bioinformatics, and more.
4. Giorgio Cam
This Google AI Experiment attempts to create a song out of the images you snap. Giorgio Cam uses image recognition to ascertain what you have taken a picture of, then turns the image labels into song lyrics. The song lyrics are then metered out over a jaunty electro-disco beat.
Honestly, this is hilariously awful and engaging at the same time. Like Thing Translator, Giorgio Cam gets some image recognition completely and utterly wrong, as you’ll see in the below video. But it is a machine learning experiment, and as such, it is still learning.
I’m wholly unsure. To create jaunty on-the-fly disco music while dropping fresh lyrics? I’m open to ideas on this one…
5. AI Duet
AI Duet lets you play an improvised piano duet with artificial intelligence. The best bits of AI Duet are the moments where your notes and the AI’s sync, creating an exquisite harmonious moment. At least, they sound exquisite to me.
Which brings me nicely onto my next point: you need absolutely no musical knowledge to have a great time with AI Duet.
And that is exactly what AI Duet is about. Helping people to discover their potentially unrealized creativity through a machine learning experiment.
Please leave comment if you know more exciting AI projects.