Today's Quote

In the end, we will remember not the words of our enemies, but the silence of our friends. -- Martin Luther King, Jr.

Thursday, 13 April 2017

Google AI Experiments, How Many do they have?

Google's Work on AI and AI experiment Products

Google is known for its work in the Tech field and I don't have to tell you what Google is capable of.

GOOGLE the one that makes our Day best with its Services Starting From Search Engine Till the Personal assistant in our Pocket.

Speaking of Google Assistant, it is one of the Products which Google wants every one of us to use it everyday in order to make our day easy to us with its Involvement. 

The longer you use it the better it will become adapted to you, This is because of Artificial intelligence, Machine Learning, and Deep learning Algorithms which are used make it perfect to work for you.

Google's AI Experiments

Google is working on making its AI way more Efficient And Accurate to determine on things and identify things for you and Assist you to make things which consume more time in Minimal time.

To make that happen very soon they are doing them with Experiments Here is the List:

  • A.I. DUET
These are the Experiments That Google have Peoples working on and if you have your own experiment on Machine learning, Deep Learning, or Neural Network Google Welcomes you Refer Here, And this gains you a trip to
Google I/O 17 Which is Arriving This May.

Let's Get To Know About The Experiments

AutoDraw (Fast drawing for everyone)

AutoDraw is the new kind of website tool which is especially for drawing things and Kinds of Stuff.
Now you may ask, We already have sites like this!!

Why do we have to use this tool by Google, That's where Google Surprises You
This Drawing Tool is not just a simple Drawing tool online, This Tool pairs With drawings from Talented artists from Google's Creative Lab to make this happen.

 This works just fine with a smartphone, tablet, laptop, desktop, etc.
Google hopes AutoDraw will help make drawing and creating a little more accessible and fun for everyone.
AutoDraw Tree
This was Built by Dan Motzenbecker and Kyle Phillips with friends at Google Creative Lab.
AutoDraw uses the Same Technology Used in QuickDraw
What is QuicckDraw? its Next in the List.

Quick, Draw!(A game where a neural net tries to guess what you’re drawing)

Quick Draw guesses what you are trying to draw, Now it can guess some Hundreds of drawings.

QuickDraw is built with Machine Learning, You will draw and the Neural Network Tries to guess what you are trying to draw, ItsIt does not work always hence its Machine Learning.

When we Played Quick, Draw!

The more you play the more it will learn.It is Serving as an Example of How we can use machine learning.Try it Yourself
Quick, Draw! Built by Jonas Jongejan, Henry Rowley, Takashi Kawashima, Jongmin Kim, Nick Fox-Gieg, with friends at Google Creative Lab and Data Arts Team.

Thing Translator(Take a picture of something to hear how to say it in a different language)

Thing Translator is one of the Google AI experiments which is Simple and which can be effective for the users to use it.
This experiment lets you take picture of a thing and tells what it is and it will also allow you to hear how to say it in a different language. 
When we Tested it on Mouse

All these are Done make using of Google's Machine Learning API's, without diving into the details of Machine Learning.
Thing Translator Built by Dan Motzenbecker with friends at Google Creative Lab, using Google’s Cloud Vision API and Translate API.

Giorgio Cam(Take a picture to make music with the computer)

This is an Experiment of Google's A.I. Experiments.
This Experiment lets you Make music with the Computer Just by taking a picture.

It uses Image Recognition to say what it sees and labels it and then forms a Lyrics of a Song with the label.
These are done with Google's Machine Learning API's.
This Experiment is Built by Eric Rosenbaum, Yotam Mann, and friends at Google Creative Lab using MaryTTSTone.js, and Google Cloud Vision API. Features music by Giorgio Moroder.

Bird Sounds (Thousands of bird sounds visualized using machine learning)

This Experiment is done to Organize Thousands of Bird Sounds using Machine Learning.Bird Sound Widely Vary. Computers weren't given names of the Birds or Tags of them, They are organized only by audio using a technique called t-SNE.

t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. 
Using t-SNE the computer created this map, Where Similar sounds are placed nearer.
When we tested different Bird's Sounds inn the Map

Built by Kyle McDonald, Manny Tan, Yotam Mann, and friends at Google Creative Lab. Thanks to Cornell Lab of Ornithology for their support. The sounds are available in the Macaulay Library’s Essential Set for North America.

A.I. DUET(A piano which you can Sing Duet With)

This Experiment lets you play a duet with your Computer, Yes it's true believe me; AIs are developed this much.

If you play some notes Computer will reply with Melody to your Melody note, The best part is you don't even want to know How to play Piano Just press some keys and listen to what comes back.
For using this you can simply press the keys on your computer keyboard, or even plug in your MIDI keyboard.
Blue-User input; Yellow-Computer's revert

See How creative Machine language can be used for Try it Yourself.
This Experiment is Built by Yotam Mann with friends on the Magenta and Creative Lab teams at Google. It's built with TensorflowTone.js, and open-source tools from the Magenta project.

The Infinite Drum Machine(Thousands of everyday sounds, organized using machine learning)

 This experiment Makes use of every sound In day to day life and organizes that thousands of sounds Using Machine Learning This experiment is same as the Bird Sounds and is organized in the same form like the computer is not provided with names and tags but only Audio and this also uses the same technique that Bird Sounds used it is t-SNE which places similar sounds together, It has the map where we can use it to explore similar neighbourhood Sounds and it also has a Drum Sequencer To make beats.

This Experiment is Built by Kyle McDonald, Manny Tan, Yotam Mann, and friends at Google Creative Lab. Thanks to the London Philharmonia for contributing some sounds to this project.

Visualizing High-Dimensional Space(Get a peek at how machine learning works)

This Experiment It is Open-Sourced as Part of Tensorflow.
This gives a peek into How Machine Learning Works, it is by Visualizing High-Dimensional data as Experiment Names.
When we tried for ourselves

Since it is Open Sourced Programmers and coders can use this visualization techniques to explore their own data.
This Experiment is Built by Daniel Smilkov, Fernanda ViĆ©gas, Martin Wattenberg, and the Big Picture team at Google.

What Neural Networks See(Explore the layers of a neural network with your camera)

This is the Experiment to demonstrate us What Neural Net see through our Camera.
It lets you turn on your camera And through the camera with image processing and some Video API which Youtube use and with these combined to Machine learning This tells you How the Neural Network works.
Try it Yourself  This is Right now in Beta version View the Code or get it if you want to.
This Experiment was Built by Built by Gene Kogan as part of a collection of open-source OpenFrameworks apps.

HandWriting With a Neural Net (Play with a Neural Net that Generates Handwriting Based on your Style)

This is an Experiment to Understand and Visualize Neural Networks.
This Experiment lets you play with Neural Network.
This can Generate Strokes based on your Handwriting Style and helps you telling how the stroke goes and Which word might Come next Through interactive visualization you can also see and explore how the Neural Network works.
When tested the Experiment

This Experiment is Built by By Shan Carter, David Ha, Ian Johnson, and Chris Olah. The model was trained using Tensorflow. See more details, citations, and credits on the experiment page.

 This is How the A.I. Grown into the Today's World, once a great man said "A.I. is Something That is RISKY at the Civilization level, not Merely at the Individual Risk level, and that's why it Really Demands a lot of SAFETY RESEARCH" You Know Who He Is When you think of Mars.
So that is how its needs to be done with a lot of Safety or it can turn to be "Age Of Ultron" for real!!

For more news and Knowledge just like this Keep Following us at ORBACLES, and Stay updated up to date on the Whole Orb.



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