This study aims to examine how older consumers interpret artificial intelligence (AI) disclosure when evaluating the trustworthiness of AI-generated advertising across utilitarian and hedonic service contexts and explores the role of relatability in these evaluations.
A qualitative study was conducted using...
Neeru Sharma, J. Fatima, Sabreena Zoha· Journal of Services Marketin...· 0 citations
Abstract: Colorectal histological texture classification requires models capable of distinguishing visually similar tissue patterns while maintaining reliable predictive performance. We developed ColoNet as an integrated classification framework that combines Denoising Convolutional Neural Network (DnCNN)-based preproc...
Javad Hassannataj Joloudari, Ali Abbaszadeh Sori, Behnam Barzegar et al.· Zenodo (CERN European Organi...· 0 citations
Alzheimer's disease can be difficult to detect early, which restricts timely diagnosis and treatment options. In this work, we present a practical method for identifying and staging Alzheimer's disease that combines regularly recorded clinical symptoms with brain imaging. By employing explainable artificial intelligenc...
J.Bindhu Bhargavi· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) is increasingly embedded in tourism service work, yet the presence or use of AI does not by itself explain how employees convert machine-generated information into innovative service responses. This study develops and tests a conditional-process model in which Human–AI Collaboration (HAIC)...
Ambili G. R. Kuniyel, Uma Devi N.· International Journal For Mu...· 0 citations
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[0.1.0-beta.7] — 2026-09-23 Largest release so far: 102 commits, 218 files changed, +21,760 / −149. Headline features are full UTF-8/RTL/Arabic shaping support, a theme system with 10 built-in themes, an optional-plugin system, a Lua test suite, Docker images, and a complete documentation website. The beta cycle contin...
Genix, rxi, Kasra M. Hosseini et al.· Zenodo (CERN European Organi...· 0 citations
Individual retail investors often exhibit emotional trading patterns—fear of missing out, panic selling, revenge trading, and overconfidence—that systematically erode long-term performance. Despite the availability of sophisticated analytical tools on modern trading platforms, few systems offer direct feedback on the u...
Hana Haseeb, Prof. Asha P V, Gulam Shabbir Khan et al.· Zenodo (CERN European Organi...· 0 citations
Individual retail investors often exhibit emotional trading patterns—fear of missing out, panic selling, revenge trading, and overconfidence—that systematically erode long-term performance. Despite the availability of sophisticated analytical tools on modern trading platforms, few systems offer direct feedback on the u...
Hana Haseeb, Prof. Asha P V, Gulam Shabbir Khan et al.· Zenodo (CERN European Organi...· 0 citations
Drowsiness during driving is a risk causing road accidents worldwide, necessitating early detection of drowsiness. Electroencephalography (EEG) is used for developing reliable drowsiness detection system. EEG-based works utilize temporal-spatial representation, channel dependency modeling,attention and feature fusion,...
Selvaganapathy Shymala Gowri, S Niranjana, A S Harini et al.· International Journal of Com...· 0 citations
UMOSU (Unified Model of Social Universe) / UMOKWAI (Unified Model of Knowledge With AI) This paper presents UMOSU (Unified Model of Social Universe), an ontological model designed to classify phenomena according to the components that are necessary for their manifestation, and UMOKWAI (Unified Model of Knowledge With A...
Marco Falsetti· Zenodo (CERN European Organi...· 0 citations
Version 1.0.1 corrects one bibliography entry: the companion paper, Loschi (2026), Who Gets the House? Financing-Associated Price Gaps in New York City, is now cited as published on Zenodo (version 2.3, 10.5281/zenodo.22921991) rather than as unpublished. The code zip and manuscript PDF were rebuilt accordingly; the RE...
Pablo Loschi· Zenodo (CERN European Organi...· 0 citations
The Cowenhoven Project (cowenhoven.org) is a multi-part digital humanities project combining archival research, genealogical scholarship, and data science in an effort to recover the names of people enslaved in New York and New Jersey by the Van Kouwenhoven-Conover family. In this presentation, I explain how I was able...
This paper synthesizes recent advancements in the application of machine learning on blood biomarker analysis, evaluating their diagnostic efficacy and clinical translational potential and proposes a scalable “Step-Care” framework that transitions from single-biomarker community screening to precise multimodal fusion,...
Lin-Hong Xu, Jian-Bo Tu, Ji-Peng Zhang et al.· Frontiers in Aging Neuroscie...· 0 citations
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
