Events
- ARCAS-Intellexus Workshop 3
Workshop
- Buddhism & Al Initiative – Background and Current Work
Guest Lecture
- Intellexus Annual Nexus 2026
Hackathon
- Kfir Bar & Orr Zwebner Visit UHH
Working Visit
- From Legacy to Science: Developing and Analyzing Citation Networks in Halakhic Literature with Artificial Intelligence
Guest Lecture
- Intellectual Ecosystem Database Input Workshop
Workshop
- Computational Methods for Idea and Concept Extraction and Matching in Ancient Manuscripts
Workshop
- Intellexus Annual Nexus l 2025
Hackathon
- Working Visit: Orna Almogi & Dorji Wangchuk visit RUNI
Working Visit
- Working Visit: Kai Golan Hashiloni from RUNI visits UHH
Working Visit
- Intellexus Panel at the XXth Congress of the International Association of Buddhist Studies
Panel
- ARCAS-Intellexus Workshop 2
Workshop
- Intellectual Ecosystem Database Input Workshop
Workshop
- Intellexus Workshop 1
Workshop
- Different Tokens for Different Volken: Syllables, Words, and Motifs
Kick-off Talk
- Śaiva Literature: Stratigraphic Layers and Genealogical Trees
Guest Lecture
- ARCAS-Intellexus Workshop 1 Collaboration Vision and Plan
Workshop
- Mantras in the Śivadharma Universe: Readings from the Śivadharmaśāstra, the Śivadharmottara (with the commentary Śivadharmavivaraṇa), and the Vāyavīyasaṃhitā
Guest Reading
- Getting Rid of the Rival: Stories of Śaiva and Buddhist Tantric Deities Fighting Each Other
Guest Reading
- Burnt Clay, Skull Topped Vases and Other Curiosities— Some Points of Contact BetweenBuddhist and Śaiva Tantras
Guest Lecture
- Speciality Meats: The Flesh of the Seven-Time Returner in Buddhist and Non-Buddhist Texts
Kick-off Talk
- Studying the History of Buddhist Ideas: Some Methodological Reflections Exemplified by the Idea of akṣara
Kick-off Talk
- A High Level Overview of Intellexus Architecture
Kick-off Talk
- Introduction to Sanskrit and Tibetan Text Cultures, With Special Reference to Challenges Concerning NLP
Kick-off Talk
- Tokenization and Current Status of Tibetan and Sanskrit LMs
Kick-off Talk
- Natural Language Processing Using Large Language Models
Kick-off Talk