Artificial Intelligence Projects, Lessons, Activities (16 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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AI (artificial intelligence)-generated text is a hot topic for many reasons. Computers can now generate convincing paragraphs or even pages of text that look like they were written by a human. How do you know if a news article you are reading was written by a human or an AI? How does a teacher know if a student's essay was written by an AI? How do you know this text was not written by an AI? In this science project, you will conduct an experiment to see if volunteers can correctly identify…
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Do you think artificial intelligence (AI) is too complex to use? Think again! In this project, you will use AI to teach a web-based tool to classify happy and sad faces, or other objects, poses, or sounds. This experiment requires no coding skills; instead, you will need curiosity, creativity, and a critical eye. Why not give it a try yourself?
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Given the right data, AI can be good at making predictions. In this project, you will create a KNN machine learning model that tries to predict whether a passenger on the Titanic survived based on multiple factors such as age, sex, and fare price. This project requires little to no coding skill; instead, you will need an open mind and curiosity to learn. Ready to give it a try?
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Using artificial intelligence (AI) is easier and more accessible than ever! In this project, you will teach an AI to solve any maze. This project requires little to no coding skills; instead you will need curiosity, creativity, and a critical eye. Why not give it a try yourself?
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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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Lesson Plan
Grade: 8th-12th
1 review
This eight-part lesson will guide you through building and programming Arduino-controlled autonomous cars with your students. Each part contains a detailed step-by-step video and a supplemental lesson plan PDF with learning objectives, assessment opportunities, and appendices with circuit diagrams and example code. You can present the material yourself or have students follow along with the videos and pause to work on their autonomous cars.
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NGSS Performance Expectations:
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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What should you eat for breakfast today? What should you wear to school? You make many decisions every day and consider lots of information when making those decisions. What if you could train a computer to make those decisions for you using artificial intelligence? In this project, you will not need to do any computer programming yourself, but you will do some simple math to show how a computer program called a neural network can learn to make decisions.
If you want to try a version of the…
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Getting started with machine learning is like unlocking a new world of possibilities, and the best part is that you don't need to be a computer genius to do it! In this project, you will create a K-Nearest Neighbors (KNN) machine learning model that can predict whether a patient has a benign tumor or malignant breast cancer based on the characteristics of the tumor cell nucleus, such as its radius, perimeter, area, and smoothness.
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