Tomorrow’s technologies will be invented by today’s young people. NVIDIA’s Techsplorer program introduces underserved youth 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

Students work in groups of two to create a system that can sort objects actively and efficiently using multiple channels, learning the important role parallel processing plays in AI.

Build a Neural Network

Students work in teams to build a network that can classify data, learning 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, learning how sensor interpret information to enable autonomous driving.

The Techsplorer activities also serve as the foundational curriculum for Technovation Families, an effort that brings together families, schools, communities, and technology professionals to give everyone the chance to learn, play, and create with AI.

So far, we’ve reached more than 10,000 students through the Techsplorer program.


Learn more about our key strategies, focus areas, and diverse programs.