- In “Digital Eschatology in Islamicate Traditions: a Comparative Study of Inter-Religious Prophecies” (Journal of Digital Islamicate Studies), Mohammed Qasim Khan (University of Malaya Wilayah Persekutuan) “explores the emerging phenomenon of digital eschatology within Islamicate traditions by examining how artificial intelligence and digital platforms influence inter-religious apocalyptic narratives. Situating the research within the broader context of digital religion and Islamicate digital humanities, [the article] focuses on the doctrinal, popular, and speculative representations of eschatological content generated or mediated through AI technologies.” [login required]
- In “Rezwan: Leveraging Large Language Models for Comprehensive Hadith Text Processing: A 1.2M Corpus Development” (arXiv), Majid Asgari-Bidhendi (Iran University of Science and Technology) and others present “the development of Rezwan, a large-scale AI-assisted Hadith corpus comprising over 1.2M narrations, extracted and structured through a fully automated pipeline…. rigorous evaluation was conducted on 1,213 randomly sampled narrations, assessed by six domain experts. Results show near-human accuracy in structured tasks such as chain–text separation (9.33/10) and summarization (9.33/10), while highlighting ongoing challenges in diacritization and semantic similarity detection….The work introduces a new paradigm in religious text processing by showing how AI can augment human expertise, enabling large-scale, multilingual, and semantically enriched access to Islamic heritage.”