Ninth Grade, Artificial Intelligence Science Projects (3 results)
Artificial intelligence (AI) is a branch of computer science that enables computers and robots to perform tasks requiring intelligence. The tasks can be as simple as programming a computer to play an easy game like tic-tac-toe or as challenging as having a computer diagnose and treat a sick patient. Sometimes artificial intelligence is used to get machines to do things that humans already do well, like using spoken language to communicate. Other times AI is used to do tasks that are hard for humans, like predicting how new proteins might fold up into 3D structures and how those structures interact with other nearby proteins.
Machine learning is a subfield of AI where a machine "learns" how to do something without the programming telling it exactly how to deal with every step. In machine learning, a computer is given data from which it builds a model, and that model can repeatedly be trained, tested, and have more data added until it performs well. Companies are using machine learning to build robots that walk, self-driving cars, computers that can compose music, and many other types of technology.
You can try your hand at AI and machine learning with these exciting projects and experiments.
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This is a more challenging JavaScript project: can you write a program that can play Tic-Tac-Toe? You'll have to figure out a way to translate the game strategy into a computer algorithm. The project will show you how to create a working Tic-Tac-Toe board on a webpage. Your challenge will be to show the computer how to play. Just think: you'll be creating artificial intelligence!
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Driverless cars use machine learning, a type of artificial intelligence, to identify road signs and other things they encounter on the road, like pedestrians and other vehicles. In this project you will take your own pictures of different types of road signs and use machine learning to identify the signs using a free online tool (no programming is required). You will then attempt to improve your machine learning model so it can identify signs in a variety of environments.
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How do you design a program that can pilot a self-driving race car? By using machine learning. In this project, you will train your own machine learning model for an autonomous vehicle, the AWS (Amazon Web Services) DeepRacer. You can run your car's machine learning model on a simulated racetrack (Figure 1), or you can purchase a
1/18 scale model vehicle
that can race on a physical track (Figure 2).
Figure 1. Screenshot of the virtual racing environment.
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