Fourth Grade, Artificial Intelligence Science Experiments (37 results)
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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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Understanding the water quality of our rivers, streams, and lakes is critical for maintaining healthy ecosystems and sources of drinking water. Dissolved oxygen is one key water quality measurement that impacts aquatic life. But how can we predict how water quality might change in the future so we can intervene to keep our water healthy? With machine learning! In this project, you will gather water quality data for a location of your choice and use a random forest model to predict future…
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If someone asks you to draw a picture of a doctor, lawyer, or engineer, what first pops into your mind? The race and gender of the person you imagine might be shaped by your personal life experiences, such as whether you have family members in those professions, or what representations of them you have seen on TV or online. What do you think will happen if you ask an artificial intelligence (AI) program to generate the picture instead? Will pictures generated by AI reflect the true real-world…
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How do you tell the difference between a bird and a fish? Birds tend to have feathers and can fly, while fish have no legs and can breathe underwater. In this project, you will explore how to create a decision tree using machine learning that can classify different animals based on multiple characteristics. This project is designed for beginners and requires little to no coding experience. Ready to give it a shot?
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For cancer patients, remission–a period when the signs and symptoms of cancer are reduced or disappear–brings immense relief, but there is often a chance of recurrence, or the cancer coming back. Have you ever wondered how doctors can predict if cancer might come back in some patients? Thyroid cancer, a type of cancer affecting the thyroid gland, has a recurrence rate of about 5-30%. Depending on many factors, some patients may have a higher chance of thyroid cancer recurrence than…
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Litter is not only an eyesore but also a serious threat to wildlife and the environment. While some littering is intentional, much of it occurs accidentally–such as when trash falls from garbage trucks or strong winds scatter waste from bins. Machine learning offers a powerful solution for detecting litter, paving the way for future innovations, including autonomous robots capable of cleaning up our surroundings.
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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 - note: new cars are no longer for sale, but you may be able to purchase a used one on a site like…
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This project explores how large language models (LLMs) can generate recipes from YouTube cooking videos. In this science project, you will learn how LLMs interpret language and how prompt design can affect results.
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Have you ever wondered what causes wildfires and how resources are allocated to prevent their spread? In this science project, you will use machine learning to predict areas of wildfire susceptibility and their intensities.
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Have you ever played Minesweeper? Did you start clicking around randomly until you hit a mine? What did you think the numbers meant? Do you think a computer program can play Minesweeper better than a human? In this project, you will explore how to train an AI agent to play Minesweeper.
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