Type of the article: Research ArticleAbstractInsurance penetration in India remains critically low (2.7 per cent life, 1.0 per cent general) despite two decades of market liberalization and substantial digital infrastructure expansion. This study investigates how insurance awareness and digital literacy translate into...
Sherin Amala, P. S.· Insurance Markets and Compan...· 0 citations
Writing is the most important language skill. It requires experiences of grammar, vocabulary, coherence, and logical organization. With the development of combining technology and education, Artificial Intelligence (AI) tools have become necessary for English as a Foreign Language (EFL) writing instruction. The study e...
Huda Jalail Kadhim, Manar Amer Saleh· مجلة الباحث· 0 citations
In this chapter, an integrated framework of governance for AI in marketing is suggested in order to address the risks emerging in this area and foster customers' trust. With the increasing use of applications driven by AI in marketing, the issues of algorithm bias, data privacy, and non-transparency become more acute a...
Ammar Imad Khalaf, Khalil Alkhalidy Alkhalidy, Hasan Oudah Abdullah et al.· Advances in computational in...· 0 citations
Artificial intelligence (AI) is transforming fashion e-commerce through personalized recommendations, virtual try-on, size suggestions, and algorithmic decision support. This study examines AI-driven fit confidence as a fashion-specific mechanism linking AI personalization quality, algorithmic transparency, trust in AI...
Alexander Sánchez-Rodríguez, Jesús Rodríguez-Flores, Andrés Fernando Morocho Caiza et al.· Informatics· 0 citations
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Learning ObjectivesAfter studying this chapter, readers will be able to: Understand the concept of Artificial Intelligence. Explain the importance of AI security. Identify security risks associated with AI systems. Describe the AI security lifecycle. Recognize common AI attacks with real-world examples. Overview...
Dr. Vimala Roselin J, Dr.D.Priyadharsini, R. Manikandan et al.· 0 citations
Deep learning has achieved high accuracy in machining condition monitoring, yet accuracy alone cannot reveal whether a model relies on physically meaningful evidence or on dataset shortcuts. The difficulty is that common tasks such as tool-wear and surface-roughness estimation lack a known ground-truth basis for discri...
Version 1.0 of the entry guide to the Operational Thermodynamic Observers program, dated 15 October 2026. The five-page guide explains the current research question, distinguishes exact finite statements, synthetic tests and conditional reconstructions, and provides reading paths and clickable links to 18 current paper...
Itay Priiz· Zenodo (CERN European Organi...· 1 citation
Artificial intelligence (AI) is transforming human resource management (HRM), yet the cognitive and psychological factors associated with human resource (HR) professionals’ intentions to use AI remain incompletely understood. Drawing on the Technology Acceptance Model (TAM) and appraisal perspectives, this study ex...
René Arseneault, Houssem Eddine Ben Messaoud· Journal of Enterprise Inform...· 0 citations
With the advent of Internet of Things technologies and intelligent edge computing systems, the surface of cyber-attacks has been increasingly growing, which results in the problem of network security in distributed systems. This chapter will provide a review of intelligent intrusion detection methods using AI for secur...
C. V. Suresh Babu, Malini Premakumari William, B.R. Dharshini et al.· IGI Global eBooks· 0 citations
Urbanization, climate change, increasing energy demand, and rapid infrastructure development have created significant challenges for achieving sustainable and resilient cities. Artificial intelligence (AI) has emerged as a transformative technology that enables data-driven decision-making, intelligent automation, and e...
Rakesh A. Afre, Bhavana B. Thakre, Radha Panchal et al.· Artificial Intelligence for...· 0 citations
TinyML is a technology that incorporates artificial intelligence into edge machines, which allows machine learning models to be executed on very low-power microcontrollers with small memory and processing units. In contrast to cloud-based AI-based solutions, TinyML does not require the cloud to run inference on an embe...
This chapter examines the transformative role of artificial intelligence (AI) in teacher professional development (PD) within a rapidly evolving global education landscape. It begins by situating AI as a catalyst for shifting from traditional, episodic training models to continuous, data-driven learning ecosystems. Dra...
Pamela Atieno Ochieng· Advances in computational in...· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
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 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.
MIT News · Artificial Intelligence· news.mit.eduOct 18, 2026
