The Shabti KI Engine (SKE) is a domain-specialised artificial-intelligence system for the scholarly analysis of ancient Egyptian shabtis, developed at the private research collection Sammlung Beckers (Aachen). SKE combines a fine-tuned vision-language model (`qwen3-vl-shabti:32b`, LoRA-adapted on period and material ta...
Dirk Beckers· Zenodo (CERN European Organi...· 0 citations
Abstract This paper formulates the intellectual production process under a human–artificial intelligence (AI) co-creation environment as the "subatomic reduction of thought" and a "phase transition model," presenting it as an empirically testable and falsifiable research program. In contrast to conventional equilibrium...
Hideo Kajino· Zenodo (CERN European Organi...· 0 citations
Abstract This paper formulates the intellectual production process under a human–artificial intelligence (AI) co-creation environment as the "subatomic reduction of thought" and an "acid–base titration-type dynamic phase transition analogy," presenting it as an empirically testable research program. Rejecting conventio...
Hideo Kajino· Zenodo (CERN European Organi...· 0 citations
Abstract This paper constructs an institutional research program to evaluate the limitations of traditional three-tiered legal frameworks (natural persons, legal entities, and agents) in handling responsibility, rights, and value attribution as artificial intelligence (AI) autonomy increases. Extending the "rational dy...
Hideo Kajino· Zenodo (CERN European Organi...· 0 citations
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Abstract The aging brain and development of Alzheimer’s disease (AD) are characterized by neurological degeneration. Nest-building performance captures deteriorating cognitive and motor functions in rodent models of AD; albeit qualitative while limited in physiological scope. To enhance sampling depth and frequency, we...
Fritz E. L. Miot, Zion I. Shih, Stephen Salloum et al.· Scientific Reports· 0 citations
The way enterprises manage performance has changed, moving on from static and periodic reports to a more continuous form of real-time monitoring. But for the finance leader this shift has not been a panacea; an overabundance of data has yet to yield decisions that are any faster or more firmly in hand. We contend in th...
Rolf Wouters· Journal of Artificial Intell...· 0 citations
The European Union's attempt to regulate artificial intelligence—from the 2021 AI Act proposal to the 2024 political agreement and the 2026 postponement of high-risk obligations—illustrates a structural condition that no amount of legislative effort can overcome: the dynamics of AI development and the pace of lawmaking...
Kaifeng Ning· Zenodo (CERN European Organi...· 0 citations
Abstract This paper formulates the intellectual production process under a human–artificial intelligence (AI) co-creation environment as the "subatomic reduction of thought" and a "phase transition model," presenting it as an empirically testable and falsifiable research program. In contrast to conventional equilibrium...
Hideo Kajino· Zenodo (CERN European Organi...· 0 citations
The pursuit of Artificial General Intelligence (AGI) is organized almost exclusively around model capability and is measured through zero-state benchmark scoring an Artificial Intelligence (AI) system's first encounter with a task. This paper argues that capability on its own will not be the AI industry's deliverance....
Philip Roy, Yaniv Pereyaslavsky· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) as a strategic driver of tourism innovation is widely recognized; however, its effect on small and medium-sized enterprises’ (SMEs) innovation performance (in developing countries) remains unknown. The current study proposes an integrated conceptual model that shows how human-centered organ...
Abstract This work focuses on an educational project for third-year students in Italian classical high schools, integrating generative artificial intelligence (AI) into the study of Latin. Using tools like ChatGPT, the project explores innovative methods to enhance linguistic and cultural understanding while promoting...
Claudia Abbondanza· The journal of classics te...· 0 citations
Background Artificial intelligence (AI) is rapidly changing education through generative AI, adaptive learning systems, automated assessment, intelligent teaching, and data-driven learning support. More and more AI-powered systems are mediating learning, communication, information searching, and, in some cases, emotion...
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.