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2,696 papers
Foundations of Consecutive Interpreting: For EFL University Students introduces consecutive interpreting through Arabic–English and English–Arabic teaching cases for Arabic-speaking EFL university students across the Arab world. It connects understanding spoken messages with accountable oral performance. Modern Standar...
Abstract Bananas ( Musa spp. ) are rich in bioactive compounds that are essential for health, including support for digestion, immunity, and sustained energy. This research compared the nutritional profiles, physicochemical properties, determinants of antioxidant compounds, and antioxidant activities of sweeteners from...
Financial statement fraud causes systemic damage to U.S. capital markets, investor confidence, and the credibility of public company disclosures. Artificial intelligence (AI) offers promising new detection capabilities, yet its evidence base and operational readiness remain unevenly developed across the literature. Thi...
The growing complexity of cyber threats has made Security Operations Centers (SOCs) essential for real-time threat detection, incident response, and infrastructure protection. However, traditional black-box AI models often reduce trust and transparency in cybersecurity decisions. This chapter explores human-centered Ex...
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E-commerce platforms continuously generate large amounts of data from customer searches, browsing activities, purchases, reviews, and delivery operations. Machine learning (ML) turns this data into useful predictions and decisions that improve product recommendations, pricing, fraud detection, inventory management, and...
This chapter discusses upgrades in pricing strategies for the hospitality industry. It will analyze real-time dynamic pricing and advanced revenue management systems with reference to the framework of Hospitality 5.0. AI, IoT, and data analytics help to advance pricing strategies from basic static models to cutting-edg...
Artificial intelligence (AI) is now part of everyday academic work in higher education, including feedback. However, AI feedback does not automatically lead to learning. It can help students rethink a concept, improve a draft, and notice gaps in their work, but it can also create a false sense of progress when students...
Background: The integration of artificial intelligence (AI) and machine learning into accounting and auditing has transformed the creation, validation, and application of professional knowledge, raising questions about the legitimacy of algorithmic knowledge in accounting practice. Objective: This study examines the ep...
BACKGROUND Ocular toxoplasmosis (OT) is the leading infectious cause of posterior uveitis worldwide, yet diagnosis remains challenging without a universal gold standard. Although deep learning (DL) shows significant promise for automated image analysis, a rigorous synthesis of its diagnostic accuracy across heterogeneo...
AIPR governance is reframe around making human judgment observable before generated contributions consume scarce reviewer attention, and conceptualize missing rationale, validation, and ownership as reviewability debt, the work reviewers must absorb when generated code lacks sufficient human grounding.
Understanding how deep neural networks process information remains a central challenge. Existing interpretability methods often compromise structural fidelity, rely on prespecified corpora, or explain models post-hoc. We propose Polytopal Neural Networks (PNNs), a framework that extracts distinct layer-wise aspects by...
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
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
New research can help AI models understand crystalline materials in 3D and reason about their properties.
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