For questions about cancellations, program changes, or virtual delivery due to the coronavirus pandemic, please contact us at nittanyai@psu.edu. For the latest updates and information, visit: virusinfo.psu.edu.

Vessel’s journey toward applying machine learning to vessel segmentation

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.

AI Enables Us to Think Differently about Experiences for People with Disabilities

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 Our current accessibility standards are old, outdated, and not properly implemented.

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