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Semantris is a set of word association games powered by machine-learned, natural language understanding technology. Each time you enter a clue, the AI looks at all the words in play and chooses the ones it thinks are most related.
Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.
Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.
Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.
AI Experiments This experiment lets you draw together with a recurrent neural network model called Sketch-RNN. We taught this neural net to draw by training it on millions of doodles collected from the Quick, Draw! game.
AI Experiments. Semi-Conductor is an experiment that lets you conduct your own orchestra through your browser. You can move your arms to change the tempo, volume, and instrumentation of a piece of music. It uses PoseNet, a machine learning library that works in the browser, to map out your movements through your webcam.
Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.
A.I. DUET is an interactive experiment by Google that allows users to create music in collaboration with artificial intelligence.
Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.
But the more you play with it, the more it will learn. It’s just one example of how you can use machine learning in fun ways. Built by Jonas Jongejan, Henry Rowley, Takashi Kawashima, Jongmin Kim, Nick Fox-Gieg, with friends at Google Creative Lab and Data Arts Team.
