Artificial Intelligence is now one of the fastest-growing and most needed educational initiatives in the world. With that being said, schools are researching and adapting AI programs to meet the needs of students. One of the latest programs available to educators and students in the classroom is Google AI Experiments. In April of 2019, we (Louis and Justin) had the privilege of traveling to Google's New York City Chelsea office space. Louis was invited by Barron Webster, Google Creative Lab Designer, to present his sixth-grade science fair project to the Experiments with Google team.

As part of Google's ongoing commitment to support ambitious computer science research and the arts, Google Arts & Culture, in collaboration with Google AI, invite proposals from contemporary artists working with machine learning in their art practices. Artists Machine Intelligence (AMI) grants will support six artists with technical mentorship, core Google research, and funding. Artists will have the opportunity to work with Google creative technologists to develop and produce artworks over the course of a five-month period. Mentorship may cover technical processes like data collection and analysis, to pipeline design, and model deployment, and includes access to core Google U/X and technical research in generative and decentralized machine learning, computer vision, and natural language processing. Apart from any Google background IP (if relevant), artists will own IP of their artwork.

Google Research is giving us a (fun) glimpse of how far natural language processing in artificial intelligence has come. Mountain View's research division has rolled out a couple of what it calls Semantic Experiences, which are websites with interesting activities that demonstrate AIs' ability to understand how we speak. One of the two experiences is called "Talk to Books," because, well, you can use the website to talk to books to a certain extent. You simply type in a statement or a question, and it will find whole sentences in books related to what you typed. In the announcement post, notable futurist/Google Research Director of Engineering Ray Kurzweil and Product Manager Rachel Bernstein said the system doesn't depend on keyword matching.

Wherever the cutting edge of technology is, Google is not lagging far behind. Alternatively, they've extracted the enormous Google wallet from the unfathomably deep Google pockets, and are cutting a check to stay ahead of their competitors. Artificial intelligence is no different. Google has several AI experiments Google's AI Breakthrough: What It Means & How It Affects You Google's AI Breakthrough: What It Means & How It Affects You Read More that you can go and play with right now. And because several of these experiments depend on machine learning, your direct interaction will actually help development.

Google unleashed a new group of online artificial-intelligence experiments and one in particular stands out as both an addictive game and a fascinating window on machine learning. Quick, Draw challenges you to create a series of drawings in under 20 seconds apiece. The neural network tries to figure out what you're drawing as you go. It learns from its mistakes and seeks to improve its recognition skills. I'm no great visual artist, but the AI racked up an impressive 5-out-of-6 score on my first round, correctly identifying grass, a helicopter, a penguin, a remote control and scissors.