AI4LAM
COMMUNITY CALL

June 16, 2026 (15:00 UTC)

Presenter 1: Derek Lomas (Source Library)

Presenter 2: Vicent Bosch (tranSkriptorium)

Register here

PART 1: Source Library

Launched in April 2026, Source Library is an open-access digital library: the largest freely available collection of translated historical primary sources ever assembled. Devoted to the recovery and renewal of ancient knowledge, Source Library uses AI to digitize and translate texts that have been inaccessible to non-specialists for centuries.

In the spirit of the 15th-century scholar Marsilio Ficino, who translated Plato, the Hermetica, and other works that helped ignite the Renaissance, the AI-powered Source Library operates in the same vein: allowing scholars and curious minds alike to explore a plethora of untapped wisdom.

With the Bibliotheca Philosophica Hermetica (BPH) collection being the first, Source Library draws on digitised books from other major research libraries worldwide, including the Bavarian State Library, the Vatican Library, the Bodleian Library at Oxford, Cambridge University Library. Source Library is an initiative of the Embassy of the Free Mind. All contributions are received by the Embassy of the Free Mind and allocated specifically to the Source Library project – funding the digitization, translation, and open publication of rare historical texts.

Presenter 1: Derek Lomas

is a tenured professor of Positive AI in the Department of Human-Centered Design at Delft University of Technology, where he is a member of the Delft Institute for Positive Design and the AI and Experience Design Lab. His work connects positive psychology with AI system design to enhance human learning, wellbeing, and beauty.

He holds a PhD from Carnegie Mellon’s Human-Computer Interaction Institute, an MFA from UC San Diego, and a BA in Cognitive Science from Yale, where he studied under philosopher Nick Bostrom. He was previously a postdoctoral Design Fellow at UC San Diego’s Design Lab, mentored by Don Norman.

A cognitive science-driven designer and entrepreneur, he co-founded Playpower Labs (AI educational games used by millions), NeuroUX (gamified cognitive assessments for mental health research), Smart Paper (computer vision for paper-based learning in India) and most recently, Source Library. He has delivered LLM design workshops to companies including IKEA and Bugaboo.

PART 2: Mass Indexing and Full-Text Search in Complex Manuscripts with archAIc

Historical archives and libraries worldwide face the monumental challenge of making millions of handwritten documents accessible to researchers and the general public. Traditional manual transcription is overwhelmingly slow and costly, while generic optical character recognition (OCR) software consistently fails when confronting complex paleography, historical languages, and colonial scripts.

This presentation introduces archAIc, a groundbreaking document intelligence platform developed by tranSkriptorium AI, a technology spinoff from the Polytechnic University of Valencia. Designed specifically for heritage institutions, archAIc bypasses the bottlenecks of standard transcription through its innovative Probabilistic Indexing engine (PrIx). Instead of forcing a definitive, error prone textual conversion, the system analyzes the visual manuscript data probabilistically, allowing users to perform highly accurate full-text searches (full-text search) across millions of digitized pages in just a few days.

Attendees will discover how this platform bridges the gap between cutting-edge artificial
intelligence and archival workflows. The presentation will detail how archAIc seamlessly integrates with international cultural heritage standards like IIIF and AtoM, and highlight real-world use cases where national archives and libraries across Europe and Latin America are already using this technology to unlock their vast, hidden collections at an unprecedented scale.

Presenter 2: Vicent Bosch

is the Chief Technology Officer (CTO) at tranSkriptorium AI. He holds a PhD in Artificial Intelligence, specializing in probabilistic models and pattern recognition.

Together with his technical team, he designed and developed archAIc, the company’s flagship document intelligence platform. His work focuses on bridging the gap between cutting-edge AI research and cultural heritage preservation, creating innovative solutions for automated text recognition and mass indexing of complex historical manuscripts.