MBZUAI · Notable
Dr. James She from Hamad Bin Khalifa University will give a talk on AI for Art, Culture and Heritage, covering history, trends, opportunities, and potential impacts in the Gulf region. His research focuses on AI and multimedia technologies for art, media, culture, and human creativity, with recent artworks using AI for cultural or heritage content in Arabic regions. He was also a visiting artist-in-residency at Fire Station Museum, Qatar Museums in 2020-2021. Why it matters: This lecture highlights the growing interest and applications of AI in preserving and promoting cultural heritage within the Gulf region, potentially fostering innovation in art and culture.
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arXiv ·
This paper surveys machine learning approaches using monument pictures for analyzing heritage sites in India. It addresses challenges in the tourism sector, such as the unavailability of trained personnel and the lack of accurate information. The research aims to provide insights for building an automated decision system to modernize the tourism experience for visitors in India.
arXiv ·
Researchers introduce TimeTravel, a benchmark dataset for evaluating large multimodal models (LMMs) on historical and cultural artifacts. The benchmark comprises 10,250 expert-verified samples across 266 cultures and 10 historical regions, designed to assess AI in tasks like classification and interpretation of manuscripts, artworks, inscriptions, and archaeological discoveries. The goal is to establish AI as a reliable partner in preserving cultural heritage and assisting researchers.
arXiv ·
This survey paper reviews the landscape of Natural Language Processing (NLP) research and applications in the Arab world. It discusses the unique challenges posed by the Arabic language, such as its morphological complexity and dialectal diversity. The paper also presents a historical overview of Arabic NLP and surveys various research areas, including machine translation, sentiment analysis, and speech recognition. Why it matters: The survey provides a comprehensive resource for researchers and practitioners interested in the current state and future directions of Arabic NLP, a field critical for enabling AI technologies to serve Arabic-speaking communities.