Life on Land, Eleventh Grade, Artificial Intelligence Science Projects (1 result)

The United Nations Sustainable Development Goals (UNSDGs) are a blueprint to achieve a better and more sustainable future for all.
These projects explore topics key to Life on Land: Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss.

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.

https://www.youtube.com/watch?v=Y-RMMLfxjMU

Use Machine Learning to Identify Lyme Disease-Transmitting Ticks

Science Fair Project Idea

Engineering Design Process

Ticks are a growing public health concern in North America, as their populations and the diseases they carry, like Lyme disease, are on the rise. But how can we help people identify the ticks they encounter to reduce their risk of infection? With artificial intelligence! In this project, you will gather image data of three different tick species and use a convolutional neural network (CNN) to classify them. You will also apply image augmentation techniques to expand and enhance the dataset,… Read more

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