Digital transformation in Supply Chain Management in Bangladesh’s RMG and SME sectors has become very popular because of the need for transparency and digital compliance by foreign customers as well as demand forecasting, inventory control, logistics, traceability and operational decision-making. But most organizations...
Recent dynamic advances in AI technologies have brought about profound transformations in the marketing paradigm and in consumer behavior and interactions. At the heart of this transformation, the relationship between AI agents and consumer behavior stands out as a timely area calling for in-depth investigation in the...
Ramazan KAYHAN, Busra BILGISEVEN, Nilay SAYAN· Zenodo (CERN European Organi...· 0 citations
Digital Islamic learning presents challenges involving unverified religious claims, artificial intelligence outputs, privacy concerns, and unequal access. This study aims to reconstruct the philosophy of ta’dib as a conceptual foundation for character education in digitally mediated Islamic learning. It employs a quali...
Abidul Haq, Muhammad Khaqim· Journal of islamic education· 1 citation· ⚡1
This working paper examines whether the classical methodology of ʿilal al-Ḥadīth—the detection of hidden defects in apparently sound reports—can provide a useful conceptual framework for evaluating artificial-intelligence outputs in specialist knowledge environments. It develops the concept of the “epistemic hidden def...
Ghulam Hasan Awan· Zenodo (CERN European Organi...· 0 citations
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A stark civilizational paradox defines California's technology ecosystem: the global epicenter of frontier artificial intelligence (AI) and quantum computing—Silicon Valley and the broader California coastal corridor—is physically tethered to an aging, uninsulated overhead electrical grid operated by investor-owned uti...
Yoko Hasebe· Zenodo (CERN European Organi...· 0 citations
The twenty-first century has witnessed the emergence of a new form of political power: algorithmic power. Unlike the conventional instruments of political influence, which operated through military strength, diplomatic pressure, economic sanctions, intelligence networks, mass media and direct political intervention, al...
Talent Rusere· Zenodo (CERN European Organi...· 0 citations
It is argued that grounding explanations in a formalized representation enables interactive affordances beyond what static text supports, and is instantiated for mathematical proof comprehension with explorable theorems, a system that uses LLMs to translate a theorem and its written proof into Lean, a programming langu...
Hita Kambhamettu, Will Crichton, S. Welleck et al.· 0 citations
Computer-use agents have demonstrated strong capabilities in interpreting screens and executing keyboard and mouse actions. However, games, with their visually rich worlds and diverse mechanics, remain challenging and offer a demanding next step toward general digital control. Current game-agent learning pipelines ofte...
Ming-Yu Ouyang, Yi-Ran Wang, Si-Yuan Hu et al.· 0 citations
We propose DeltaStreamer, a novel agentic framework for streaming video understanding inspired by how humans observe, remember, and investigate. Streaming video understanding requires a system to retain evidence before knowing which details future queries will need. Existing approaches often obscure event transitions a...
Bo-Yuan Sun, De-Shui Miao, Wen-Zhao Gao et al.· 0 citations
Cooperative success rests in part on implicit communication. Partners converge on conventions: regularities that give an action meaning beyond its direct effect. Yet conventions are usually observed only indirectly: a score drop when partners are swapped shows that a convention existed, but not what it was or where it...
This work introduces task-state governance, an interaction paradigm that represents a task as an editable contract linking desired outcomes, facts that must be preserved, and observed application state in TaskVM, which projects live state into editable task controls.
Wen-Kui Yang, Yi-Ming Hao, Kai Zhou et al.· 0 citations
Existing methods induce various forms of knowledge from agent traces, from sample workflows to programmatic skills. We propose ARISE (Agent Routine Induction from Successful Experience), which identifies recurring procedures in agent traces and synthesizes them into a reusable library of agent subroutines. Across five...
Zhihan Lei, Jiarui Yan, Joshua Momo et al.· 0 citations
