Students work in pairs to create a system that can sort objects actively and efficiently using multiple channels. Through this activity, they learn the important role parallel processing plays in AI.
Today’s young people will invent tomorrow’s technologies. To give underserved youth a start, NVIDIA’s Techsplorer program introduces them to cutting-edge technologies, such as artificial intelligence and deep learning, and encourages them to explore STEM careers.
Working with our STEM education nonprofit partner, Technovation, our engineers created three design challenges to explore core AI concepts and the application of AI in healthcare and autonomous vehicles. These hands-on activities use everyday materials, such as rubber bands, paper cups, and batteries, to make the topics accessible to a broad range of students.
Techsplorer Design Challenges
Build a Parallel Processing Machine
Build a Neural Network
Students work in teams to build a network that can classify data. This activity helps them learn how an artificial neural network can be trained to sort and classify data to help advance fields like healthcare.
Build a Self-Driving Car Game
Students work in groups of three to build a system of circuits to navigate around obstacles. They learn how sensors interpret information to enable autonomous driving.
Techsplorer activities also serve as part of the curriculum for Technovation Families. This free, hands-on AI education program brings together families, schools, communities, and technology professionals to give everyone the chance to learn, play, and create with AI. NVIDIANs volunteer their time and expertise to the Technovation Families program as mentors, judges, and subject-matter experts.
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