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DTSTART:20260505T103000
DTEND:20260505T113000
DTSTAMP:20260425T062300
SUMMARY:FutureFinTech lecture: Decoding Evolutionary Art Patterns with vLLMs
DESCRIPTION:Description\n\nThis lecture presents DEAP, an AI-driven framework that analyses how art evolves across cultures by combining visual analysis of artworks with surrounding texts (catalogues, critiques, archives). The framework detects large-scale patterns like secularisation and transnational influence at scale, something traditional art history methods struggle to achieve.\n\nUsing multimodal and domain-adapted Large Language Models, DEAP links visual features (composition, colour, form) with contextual language signals (iconography, sentiment, symbolism). The project delivers interactive tools, timelines, similarity maps, and influence networks for scholars, curators, educators, and the public. Intriguingly, the results may also find industry application in FinTech, particularly in automating financial evaluation of private assets.\n\nJoin us for expert insights and audience Q&A. This event will be in English.\n\nSpeaker\n\nAfshin KHADANKISHANDI\n\nPostdoctoral researcher\n\nInterdisciplinary Centre for Security, Reliability and Trust\n\nLearn more\n\nRead more: https://www.uni.lu/research-en/events/decoding-art-with-vllms/
UID:UL-17695
LOCATION:JFK Building - Metz room 29 - Avenue J.F Kennedy L1855 Kirchberg Luxembourg
URL:https://www.uni.lu/research-en/events/decoding-art-with-vllms/
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