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2,696 papers
Digital transformation has dissolved the boundaries on which conventional network security was built. Cloud platforms, remote work, mobile endpoints, and the Internet of Things have turned organizational networks into distributed, hyper-connected ecosystems in which the perimeter-based “castle-and-moat” model can no lo...
Biometric signal processing has become essential for authentication and identification in modern security systems, with applications in border control, healthcare, financial services, mobile devices, and the Internet of Things. Although biometric traits such as fingerprints, iris patterns, facial features, voice charac...
The rapid expansion of solar energy has accelerated the adoption of Artificial Intelligence (AI) to improve forecasting accuracy, photovoltaic performance, intelligent control, fault diagnosis, energy storage management, and smart grid operation. Recent advances in machine learning, deep learning, Digital Twins, Physic...
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23312313. Does the introduction explain the objective of the research presented in the preprint? Yes It contains the end goal of the research which was to make a method (...
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The rapid adoption of generative artificial intelligence (GenAI) in advertising since 2022 has transformed content production while raising concerns about the preservation of brand authenticity, a critical foundation of consumer trust and brand relationships. This study examines how AI-generated advertising influences...
The lack of access to finance is a major issue for young entrepreneurs, especially those who have poor credit scores, lack financial statements and have no collateral. Artificial intelligence (AI) based credit scoring systems have been seen as a potential solution to credit assessment using alternative data, but there...
AI-enabled nystagmus analysis shows promising clinical potential, particularly for VNG/VOG-based assessment and BPPV-related decision support, but translation into routine practice will require multicentre patient-level external validation, transparent reporting, interpretable outputs, standardised performance metrics,...
Computational companion to The Self-Undermining Assurance Problem: Preserving Certifiability in Human–AI Knowledge Work. This release contains an executed simulation notebook, recorded dependencies, run records, tables, sensitivity and budget sweeps, analytical checks, and framework/figure generation scripts. The publi...
AI systems do more than operate within our epistemic environments. They actively reshape them by modifying what users treat as relevant evidence, how they come to know things, and even the standards by which they judge whether a system can be trusted. We argue that this reshaping is largely hidden from view, and we cal...
Artificial intelligence (AI), big data analytics, and cloud computing are accelerating digital transformation by improving organizational efficiency, innovation, and data-driven decision-making across Asian economies. While these technologies create significant opportunities for economic and social development, they al...
Abstract This guide presents a practical framework for navigating, evaluating, and extending the Citizen Auditing — Open Methodology, Evidence & Digital Systems Research collection. The collection brings together methodological protocols, datasets, technical specifications, presentations, institutional communication re...
AI systems are now deployed at scale to author personal goals on users' behalf in coaching platforms and productivity tools, a practice justified by the assumption that better-structured outputs produce better outcomes. We provide a preregistered experimental test of this assumption in personal goal-setting, a domain w...
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
Health & Bioscience
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