IIDS Generative AI Faculty Fellowship Presentations

Thursday, November 21
12:30-1:30 p.m. PT
Buchanan Engineering Lab 205

Zoom https://uidaho.zoom.us/j/9334164361
Passcode 4505

Miranda Wilson, D.M.A.

Professor of Cello, Lionel Hampton School of Music
IIDS Generative AI Faculty Fellow

This presentation explores the use of advanced AI-assisted translation to make the German cellist Hugo Becker’s groundbreaking research, Mechanik und Aesthetik des Violoncellspiels, accessible to English-speaking cellists and teachers. Given the scarcity of English resources on historical German treatises, this project used an ensemble of multiple large language models (LLMs) to translate Becker’s biomechanics-based approach to cello technique. Through a multi-step process involving converting scanned pages into text, translation comparisons, and prompt engineering, the research team produced a comprehensive and highly accurate English version of Becker’s treatise. This AI-powered method solved problems posed by complex cello-specific technical language and ensured accurate translation. Beyond producing a high-quality resource, this project demonstrates a replicable methodology for translating specialized music literature, highlighting AI’s potential in expanding access to research across cultures.

Tyler Bland

Clinical Assistant Professor, School of Health and Medical Professions
Idaho WWAMI
IIDS Generative AI Faculty Fellow

This presentation explores the creation and educational impact of the short film “Alien: Parasites Within,” which builds upon the thematic elements of the existing Alien horror franchise to teach about antimalarial medications. By integrating the suspense and intrigue characteristic of the Alien universe, the film introduces complex medical concepts in an engaging and accessible manner. The narrative incorporates medical mnemonics and features a crossover with the Medimon universe, enhancing the learning experience.
A key focus of the talk is the innovative use of multimodal generative artificial intelligence (genAI) in the film’s production. Utilizing genAI technologies for image generation, animation, dialogue scripting, sound effects, and soundtrack composition, the project demonstrates how genAI can streamline and enrich the creative process. The multimodal approach allowed for the seamless integration of educational content into the cinematic narrative, resulting in a short film that is both entertaining and informative.