Energy Intelligence is an application designed to aid users in conserving and reducing energy costs and footprint by regulating heating systems, cooling systems, and lighting by modeling behavior.
Aidly is an application designed for college-aged students who want to volunteer for nonprofit organizations, created by a team from Penn State Berks competing in the Nittany AI Challenge.
Nyansapo is a team project committed to serving teachers, volunteers, and non-government organizations (NGOs) by implementing an educational program called “Teaching at the Right Level” that helps students become literate.
Fast Insights: Video-to-Text Summarizer uses AI to convert video to human-readable text. The goal is to assist content moderators in preventing inappropriate content from being shared online.
The Alliance’s focus on helping students learn has kept me continuously coming back to be involved with projects. This summer, I plan to leave and start a residency with Google.
Teams worked with us to adapt to an online format that would maintain both the integrity of the reviews and the engaging conversations that occur between reviewers and teams.
Leslie Wubbel, Anikate Ganju, and Brittnie Yi, the team behind the creation of Vessel, are passionate about using computer and data sciences to ignite a change in the medical scene of CT scans and radiology. Through their participation in the Nittany AI Challenge, they are striving to create a minimal viable product to showcase the research they’ve endeavored at Penn State. The team’s primary goal is to use pixel classification to distinguish vessels in slices of CT scans.
Nyansapo, one of the twenty student teams chosen to participate in the 2020 Nittany AI Challenge, was featured in a news story about the Challenge on WTAJ-TV.
As a Nittany AI Associate with the Nittany AI Alliance, I was able to learn and implement some new techniques, work with real-life data and see all the theoretical work in action.
We need to design for all humans, of all abilities and capacities, particularly as we are entering a new era of AI revolution. Traditionally, technological design, development, and deployment have been driven by a monolithic and normative view of human capacity. This has left out nearly 15% of the population. Our current accessibility standards are old, outdated, and not properly implemented.