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2,696 papers
Customer data platforms (CDPs) are increasingly positioned as the data and decision infrastructure of artificial intelligence (AI)-driven marketing. Yet the academic literature has not adequately explained when a CDP can reconcile privacy compliance with hyper-personalization, nor how this reconciliation depends on pla...
Generative artificial intelligence (GenAI) creates a distinctive problem for outdoor geoscience learning: it can broaden questioning and explanation, yet it can also pre-structure what learners notice and displace their interpretation of field evidence. Existing field-learning frameworks explain how conceptual, geograp...
Early identification of plant diseases is crucial for maintaining agricultural productivity and ensuring food security. Manually inspecting crop leaves takes a lot of time and requires expertise, making automated disease detection systems very helpful. This paper presents a framework for detecting leaf diseases in mult...
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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...
This research addresses the following specific theoretical deficiency: while existing resilience frameworks do indeed consider the process of recovery or adaptation of crisis systems at the level of individuals, they fail to explain the ways in which human–artificial intelligence (AI) hybrid networks create emergen...
Artificial intelligence (AI) is increasingly embedded in organizational processes, challenging established assumptions about decision-making in project environments. Prior research has predominantly conceptualized AI either as a decision-support tool or as a substitute for human judgment, thereby overlooking the so...
A low-cost, off-the-shelf ultrasonic microphone installed inside the build chamber is demonstrated as a practical alternative for capturing high-resolution acoustic signals during LPBF, and acoustic-based models achieve low-latency inference, suitable for in-process monitoring, paving the way for adaptive corrective co...
AI offers considerable potential to reduce costs, increase diagnostic accuracy, personalize care and expand access to quality services, provided its deployment overcomes technical, ethical and regulatory barriers through proactive, adaptive and patient-centered governance.
This review synthesizes four recent studies spanning these strands, together with the broader literature on multi-agent orchestration, retrieval-augmented generation (RAG), large-language-model (LLM)-based knowledge-graph construction, and explainable AI, to build a unified picture of agentic AI as applied to intellige...
The proposed XAI-Driven Dynamic Evaluation Framework offers an effective decision-support tool for curriculum optimization, educational quality enhancement, and sustainable Industry 4.0 workforce development, thereby strengthening the alignment between higher education outcomes and evolving industrial requirements.
Abstract Supply chain risk assessment (SCRA) is pivotal for ensuring resilience in increasingly complex global supply networks. While existing reviews have explored traditional methodologies, they often neglect emerging artificial intelligence (AI) and machine learning (ML) applications and mostly lack combined systema...
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.
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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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