Aerial vision-and-language navigation (VLN) agents are typically trained on detail-rich, trajectory-aligned commands, whereas users issue short, intent-driven instructions; on a frozen OpenFly navigator, this \emph{instruction gap} drops success rate (SR) from $31.03\%$ to $11.33\%$. To scale translator training, we pr...
Self-improving LLM agents can adapt a credit pipeline to a changed rule, but an agent that rewrites itself destroys the artefact a supervisor reviews: a named change, a recorded test, an approval. We argue that self-evolution is reviewable only if it is confined to the runtime harness (instruction text, tool-call logic...
Agentic AI systems can improve by searching longer, receiving additional support, or modifying how they propose and verify outputs. A performance score does not distinguish these mechanisms. We compare these changes through bounded verification with hidden terminal randomness. A stage specifies admissible transcripts,...
Tool-using agents repeatedly carry observations whose useful content can be much smaller than their original payload. We study agent-controlled forgetting: the acting model selects previously observed tool results, replaces each with a short note at its original position, and retains the exact original in a recoverable...
Jan-Peter Franke· 0 citations
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Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely constrained due to business and legal restrictions on enterprise systems, data, and database schemas. Tabular data synthesis offers a natural alternative, but its effectiveness is fundamentally limited b...
Yipeng Li, Ashutosh Hathidara, Jane Lo et al.· 0 citations
Knowledge Graph (KG) quality depends not only on downstream graph validation, but also on the quality of tabular metadata used before integration. In metadata-only Semantic Table Interpretation (STI), where cell values are unavailable, noisy, or unsuitable, column headers become a critical source of semantic evidence f...
Marcelo Valentim Silva, Hannes Herrmann, Valerie Maxville· 0 citations
Abstract This chapter is devoted to highlighting aspects of the development of technologies based on artificial intelligence (AI) models and their current use. Special attention is paid to the role of AI in creativity and intellectual property. It is noted that AI can act as a tool directly involved in the creative pro...
Oleksandra Oliynychuk, Jacek Paluszak· Emerald Group Publishing Lim...· 0 citations
The digital preservation of cultural heritage is evolving from static archiving towards intelligent creation. As representative examples of early Ming Dynasty gold and silver craftsmanship, the gold and silver artifacts from the Tomb of Prince Liangzhuang, with their complex craftsmanship and rich cultural significance...
Yelei Chen, Yifan Xu, Lei Shu et al.· Sensors· 0 citations
Artificial intelligence is fundamentally reshaping work in hospitality and tourism, yet limited research has examined how employees’ AI readiness is associated with psychological and behavioral outcomes with sustainability implications. Drawing on Conservation of Resources Theory, this study investigates the relationsh...
Abdelrahman Ahmed Abdelhai Abdelghani, Hazem Ahmed Khairy, Hebatallah Ahmed Mokhtar Ahmed et al.· Societies· 0 citations
This study examines the perspectives of managers from two different cultures, the United States and Colombia, on the impacts of artificial intelligence (AI) on the workplace. It focuses on organizational cultural adjustment and the protection of core values while enabling AI deployment. As organizations continue to int...
Mahmoud Watad, Cesar Perez-Alvarez, Neirouz Watad et al.· Change Management An Interna...· 0 citations
Purpose This study aims to examine how familiarity with artificial intelligence (AI), motivation and organizational support for AI, and demographic characteristics influence the perceived AI effectiveness among a sample of European auditors, as well as the moderating role of education on these relationships. Design/met...
Sandra Khalil, Samer Murshid· Journal of financial reporti...· 0 citations
Introduction: The integration of Artificial Intelligence (AI) into Early Childhood Education (ECE) represents a transformative paradigm shift globally, yet Nigeria's ECE sector remains critically underexplored in this domain. Problem: Despite AI's demonstrated potential to enhance foundational literacy, numeracy, and...
Onyung Sandra Effiong, Orji Cyrus Ebere, Agu Mercy Oluchi et al.· International Journal of Inn...· 0 citations
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
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.
