Grid-connected wind turbine generators (WTGs) may induce sub-synchronous oscillations (SSOs) in a power system. Due to the difficulty to gain the detailed parameters of the WTGs in practice, data-driven AI method is considered to be a potential solution to identify the trouble-making WTGs (or SSO sources) in the power...
Peili Liu, Wen-Juan Du, Qiang Fu et al.· IEEE Transactions on Sustain...· 2 citations
Existing CSCW and organization management literature suggests that knowledge is a central construct when developing, deploying, and using technological systems that are embedded in multi-stakeholder supply chains. Yet, it has rarely been the focus of comprehensive empirical investigations across LLM and broader AI supp...
It is found that saliency maps function as underspecified, indexical sign systems that often conflict with radiological semiology, suggesting that explainability emerges as a sociotechnical accomplishment, with implications for the design of interactive, practice-aligned XAI systems.
Federico Cabitza, Enrico Gallazzi, Alessia Papale· Proceedings of the ACM on Hu...· 0 citations
GiriNeoSeizure™ CDSS is a single-file, offline, interactive clinical decision-support system for neonatal seizures. It is part of the NeonatAIlogy™ series in the GAIR Innovation Registry and is governed by the GIRISH™ Prompting Architecture. The tool turns the 2023 ILAE Task Force guideline, Cochrane evidence on antise...
Girish Gupta· Zenodo (CERN European Organi...· 0 citations
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Purpose 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. Design/methodology/approach A qualitative s...
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 Kuniyel, Uma Devi N.· International Journal For Mu...· 0 citations
[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
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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