AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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20,463 papers
The field of soilless agriculture is in a state of perpetual evolution, driven by a convergence of horticultural science, engineering, and information technology. It is a sector defined not by tradition, but by a relentless pursuit of innovation to solve some of the most pressing challenges in modern food production. A...
Accurate forecasting of significant wave height (Hs) is vital for marine safety, coastal engineering, and renewable energy production. This study presents an effective integrated model system to forecast Hs for two distinct sites in Australia, Gladstone and Palm Beach, over various time horizons from 30-min to 24-h ahe...
Emerging technologies, such as blockchain and artificial intelligence, are enabling new configurations of practices, roles, and meaning systems within mature fields that can disrupt institutionalized field arrangements and alter the centrality of institutional logics. Given the growing significance of this phenomenon,...
Introduction Investment advisers increasingly report using artificial intelligence (AI), but little is known about what they disclose about it in fiduciary filings. The SEC brought its first AI-washing enforcement actions in 2024, so regulators and researchers need a reproducible measure of AI disclosure. We provide la...
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Artificial intelligence increasingly operates within interconnected healthcare information systems, but governance remains model-centered and weakly tied to institutional mission. Healthcare System Digital Mission Engineering (HSDME) adapts digital mission engineering to treat the mission, rather than an application or...
Modern civilization measures technological progress primarily by capability: what can be produced, computed, transported, cured, constructed, communicated, or automated. This paper argues that long-term technological resilience requires a second criterion: reproductive capacity — whether successive generations retain c...
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...
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...
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...
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...
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...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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