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Moving from Artificial to Engaging

14 Dec

Artificial Intelligence, Machine Learning conjures both positive and negative opinions on these terms. For those into gaming, the many multi-player games on computers and gaming systems have incredible reaction times and awe-inspiring environments. For this into TV games, IBM’s Watson made quite a splash on the quiz show Jeopardy in 2011 against former winners Brad Rutter and Ken Jennings. And for movie-goers, Terminator’s Skynet world domination over the course of five films.

In the world of education, opportunities for teachers and students to create and design reactionary systems have found a common place thanks to a renewal in coding and making. Now to take this learning to higher level, there are children’s toys on the market that learn from the children that own them, there are robot/webcam systems that learn facial expressions, software systems that recognize a human voice and there is a great game below designed by Google Developers that shows a method that programmers use to teach computers to recognize in this case, hand drawing. It is called Quick, Draw! and it is a game where a neural net tries to guess what you’re drawing.

Watch the video to get the gist of Quick, Draw!

 

Are you ready? Do you want to train a “computer”? Go to https://quickdraw.withgoogle.com/ and have fun.

Questions to ask students:

  • why would training a computer/system be important?
  • if you could create one yourself, what would you like the computer/system to be able to do?
  • besides the examples share in the post above, are there other movies, TV shows, articles, songs depicting artificial intelligence and/or machine learning? Share them with each other and on this post.
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