AI Backed Terrarium: Another Quirky Experiment By Google - IQVIS Inc.

AI Backed Terrarium: Another Quirky Experiment By Google

Google just introduced a terrarium supported by artificial intelligence. This is also known as AI-backed terrarium that displays weather conditions around the globe. It is another quirky experiment that takes an idea of a terrarium and makes it collaborative. The main aim of introducing this technology is to bring together conversations regarding the natural and tech world.

The experiment permits you to utilize Google Assistant to ask regarding the weather in different parts of the world. It is also known by the name of project oasis. Developed with Actions on Google, Dialogflow, Sub/Pub, you can request Google Assistant things like the weather in San Fransisco. As a result, little terrarium will imitate it with rain, shooting mist (to show clouds or fog) and even light. It is perhaps going to be fixed when it comes to ice and snow. However, it is best for the living things inside at least. Basically, it is a small Biodome in your living room.

Also Read: Google AI Demo Real or Fake: Was it Pre-planted or Original?

Experiments with Google is a site Google set up to demonstrate few of things developers have produced using their artificial intelligence or hardware. Here are the two experiments.

You can open up this link if you have this link and witness how far you can get. According to URL, it is emoji scavenger hunt. This is a new AI experiment produced by Google that demonstrates how the company’s machine learning tools can be utilized to create fun little games. In this scenario, you have to utilize your phone to look for objects that match within a time limit. The time increases with each one you find.

NSynth Super uses Magenta’s NSynth, Google’s neural network that makes directions, and sounds for creating your own NSynth Super that is accessible on Github. The NSynth Super is a portion of hardware that carries the NSynth technology to life. The research scientist on the Google Brain team Douglas Eck said that NSynth does not produce notes. On the contrary, it produces the actual sound of an instrument. The NSynth algorithm learns the basic qualities of what makes up a distinct sound and then is able to syndicate sounds to make something which is completely new.

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