AI and Machine Learning Projects
Historic artworks offer a unique window into the past, providing rich insight into history, culture, and tradition. Despite their profound significance, many works remain shrouded in mystery, raising questions about their origins, creators, and the circumstances of their production. Some of these questions can be addressed through advanced image acquisition...
A team of students led by researchers in English and Computer Science will investigate a fundamental question about artificial intelligence: can machines be truly creative? Students will design experiments comparing human and AI storytelling, build datasets and computational tools to measure originality and surprise, and explore what current language models...
A team of students led by researchers in the Duke University Critical Minerals Hub will use data-driven methods to develop machine learning models that predict critical mineral presence and abundance in mine waste and acid mine drainage. Students will integrate large geological and geochemical datasets, identify key indicators of critical...
How do elites maintain power when the world around them is being radically transformed? Between the late sixteenth and early eighteenth centuries, England was reshaped by the explosive growth of global trade. Political and socio-economic elites had to adapt—or risk losing power. Who benefited from these changes, who lost out,...
A student team led by Henry Pfister’s research group will develop and evaluate an AI-powered “visual assistant” that pairs smart glasses with modern visual language models to assist people with visual impairment. We’ll start by benchmarking models on the VisAssistDaily dataset and then prototype a real-time system using open-source multimodal...
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