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Over the past decade, the rise of artificial intelligence has revolutionized every aspect of our lives. Even though the field of AI is increasingly expanding, it is still a topic of mystery, wonder, and endless possibilities. In an attempt to make AI technology more accessible for the general audience, Google is creating more and more prospects for online AI experiments.
Through pictures, music, and writing, Google is enabling to showcase unique AI experiments, which will allow its users to explore creativity through machine learning, deep learning, and other disruptive technologies.
The Google Creative Lab and Data Art Team, has created this wonderful and fun AI platform that allows its users to experiment and play with doodles. QuickDraw is simple to use and can be easily accessed by children.
Using this platform, the users can draw anything, and the Google assistant will attempt to guess what it is. The algorithm works better with more drawings than it guesses. QuickDraw has over 50 million doodles in its database. It takes the user's doodle as an input and applies it to the processing system, which compares it with the rest of the doodles and suggests a suitable tag for the doodle.
Google Talk to Books, is a machine learning model built to enable human conversations with the machine. The model is trained from a library of over 100,000 books where Google algorithms use quality signals to understand the relevance of a question. In Talk to Books, the users can type any statement or a question, and the model will scan over all the pre-installed books to find several relevant answers.
The company's primary aim was to use several thousand conversations to teach AI how real human conversations work. If used correctly, this platform can serve as an excellent partner for brainstorming editorial ideas.
Google's creative lab division, has developed this marvelous platform that allows users to play with melodies and music. Developed by Yotam Mann, this platform is an integration of different tech software like TensorFlow, Magenta, and Tone.js. While TensorFlow is the pillar of this model, the other two are audio-based operations.
AI Duet works by taking the notes that the users play on their computer's keyboard and runs them through a neural network that is trained using machine learning algorithms. The neural net then analyzes for other melodic and rhythmic patterns that can identify with the user's music.
Google's SemiConductor, is an AI experiment that tracks the hand movements of the users as if they are waving their hands in front of an orchestra or creating music in real-time. The users have to give Google Chrome access to their webcams until their arms are outstretched and fit inside the frame and can start conducting.
One of the many advantages that this platform provides is that for introverts who are afraid of failing; SemiConductor is processed through one's browser hence, no information is passed on to anyone else, which also reduces security concerns.
Infinite Drum Machine is a new way of creating beats using everyday sounds. It uses a technique called t-SNE that can organize a large audio dataset into small groups of distinct sounds with no descriptions or tags. It also provides a map that the users can use to explore the neighborhoods of similar sounds and make beats with the drum sequencer.
