Artificial intelligence (AI) is transforming photovoltaic (PV) systems from passive generators into self-forecasting, self-diagnosing, and self-optimizing energy assets. This review synthesizes 170 Scopus-indexed documents published between 2020 and 2026 across six technical domains: solar resource and PV power forecas...
R. Senthil, R. Priya, S. Radhakrishnan et al.· Solar· 0 citations
This research proposes a secure, explainable, and context-aware governance framework for blockchain-based digital media contracts in multimodal artificial intelligence-enabled AIoT interactive systems. As digital licensing, NFT copyright management, royalty distribution, and cross-chain content circulation become incre...
Rapid urbanization, increasing demand variability, and digitalisation of urban infrastructure require intelligent decision-support systems that can improve sustainability, resilience, and operational efficiency in smart city operations. Artificial intelligence (AI) and data-driven optimization offer strong potential fo...
Žydrūnas Bautronis, R. Alzbutas· Sustainability· 0 citations
This study aims to analyze optimization strategies for machine learning–based recommendation systems in e-commerce environments, identify commonly applied algorithms, and examine emerging opportunities and implementation challenges. A Systematic Literature Review (SLR) was conducted following the PRISMA 2020 framework....
S. G. Kurnia, Muhammad Rizki Perdana, Aldian Yusup· East Asian Journal of Multid...· 0 citations
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Emerging AI paradigms offer future-ready frameworks for personalized, privacy-preserving oncology care and multi-omics integration powered by AI enables the discovery of robust biomarkers for diagnosis, prognosis, and therapy response prediction.
M. Anwer, Krupa R. Bhaliya, Ming Q. Wei· Translational Oncology· 0 citations
The proposed mechanism that AI capability creates financial value when technological resources are translated into timely, evidence-based, and economically sound financial decisions supports the proposed mechanism that AI capability creates financial value when technological resources are translated into timely, eviden...
Fera Lufhidarani Pranita, Mohammad Sigit Adi Nugraha, Maria Evy Purwitasari· Jurnal Publikasi Ilmu Manaje...· 0 citations
The findings show that detecting capability develops organically through a bottom-up process, with creative staff acting as information gatekeepers, and transforming capability emerges by restructuring conventional workflows into a human–AI hybrid model, in which AI generates ideas and drafts, while creative staff perf...
Anthonius S. Hutabarat, Dewi Tamara, Irawan R. D. Budianto et al.· Advances in Human Resource M...· 0 citations
This article explains how ontology-based semantic layers work and advocates for their use as versatile enterprise tools. They add shared meaning, context, and governance to data, improving integration, analytics, oversight, and AI reliability across organizational systems.
Sally Hubbard, Elena Loukoianova, Hsiao-Ying Lin· Computer· 0 citations
Transformasi digital layanan publik melalui aplikasi M-Paspor menghadapi tantangan signifikan terkait stabilitas sistem dan kepuasan pengguna. Melalui pendekatan Explainable AI, metode SHAP diimplementasikan untuk membongkar mekanisme internal algoritma XGBoost, untuk mengidentifikasi kontributor utama sentimen negatif...
Hagi Semara, Putera, Made Lanang et al.· Jurnal Nasional Teknologi da...· 0 citations
The findings indicate the feasibility of the BERT model as an initial, human-in-the-loop screening stage for ethical data governance in the public sector.
Gomes Braz Ingrit dos Anjos, Luiz Augusto de Oliveira Almeida, Ueuder Castro Do Nascimentoa et al.· EGOV-CeDEM-ePart 2026· 0 citations
KORA proposes the concept of Data Space Lite: lightweight semantic infrastructures based on W3C standards and Data Spaces principles for rapidly deploying reusable interoperability layers in GovTech environments.
Mélida López, Francisco Sáez, Bárbara Ribeiro et al.· EGOV-CeDEM-ePart 2026· 0 citations
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
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