The Nittany AI Challenge offers Penn State students the opportunity to address pressing global issues and build solutions using AI and machine learning, regardless of technical skill or expertise. Students leverage diverse skill sets in multi-disciplinary teams to take their learning beyond the classroom and experience the true innovation that occurs when working collaboratively to harness the power of AI for Good.
Challenge alumni have shared that the main benefits of competing are:
From hands-on experience with AI technologies to critical leadership skills, the Challenge provides learning opportunities for each role on a team.
Each year, 30–40% of all participants in the Challenge are from non-technical majors. In fact, we find that the most successful and innovative teams often have a healthy combination of technical and non-technical members.
Many Challenge alumni have gained job offers, valuable résumé additions, capstone course submissions, startup ideas, patent applications, and so much more through the Challenge.
Teams that advance to the MVP phase of the Challenge can win up to $50,000 in funding, as well as significant exposure through multiple marketing channels across the University.
Creating a profile in the Team Tool is the first step to participating in the 2022 Challenge.
Idea submission deadline: Friday, January 31, 2022
As a graphic design major, Christie Warren was hesitant to join her group of friends — who were all in technical majors — in the Nittany AI Alliance’s 2018 Nittany AI Challenge. “What’s the worst that could happen?” her friend Michael Roos asked.
The Alliance is hard at work with AI industry partners to bring cutting-edge programming to Penn State. Don’t miss your opportunity to get involved!
Share your contact information to stay up-to-date on all of the activities, challenges, and networking opportunities the Nittany AI Alliance will be offering in the coming months. You’ll be among the first to know about AI–related programming, giving you a chance to sign up early for events that may offer limited seating or enrollment capacity.
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