Artificial intelligence (AI), deep learning, and neural networks are omnipresent in today’s industries and products, including transportation, medical diagnosis, search engines, shopping, marketing, autonomous vehicles, social media, remote sensing, and many more. They offer machine learning-based techniques that can be used to solve large scale problems - problems that are out of reach of human capability given their complexity to both model and solve. We’ll take these concepts and apply them to Nuvietown, a scaled down futuristic mini-city. This Summer, we’ll focus our efforts around AI for Nuvietown’s agriculture and food systems. Using GPS guidance, sensors, robotics, autonomous vehicles, control systems, automated hardware, algorithms for creating efficient routing, survey instruments, and single-robot and multi-robot behaviors, we’ll explore precision agriculture and automation solutions for small farms.
In this studio, we’ll begin by discussing what it means to have machine intelligence. We’ll go deep into exploring how artificial neural networks use statistical models (modeling biological neural networks) to process relationships and then use learning algorithms and optimization techniques to learn from observed data and improve their models toward an optimal solution. We’ll also learn about the power of deep learning to consume and process very raw input data in order to calculate a target output. Get ready to dive into deeper learning, and apply it hands-on in Nuvietown!
Machine Learning (AI, Deep Learning, Neural Networks)
Physics (Electricity, Magnetism)
Robotics (Arduino, Sensors, Actuators)
- Enrolling students must be between the ages of 14 to 18 (or grades 9-12)
- Students must have prior programming experience