The rapid expansion of generative AI across the oil and gas applications has created an urgent need for structured review on emerging research trends. However, traditional systematic literature reviews (SLRs) are time-consuming and difficult to scale as the volume of AI publications grows every day. This paper propos...
Automated evaluation of IELTS Writing Task 2 essays requires judging task fulfilment, coherence, vocabulary, and grammar in ways that approximate trained human examiners, while remaining fast and inexpensive enough for practical deployment. This paper presents a systematic comparison of six architectures for automated...
D2A-HWY-60 is a reproducibility package and controlled benchmark for uncertainty-aware design-to-as-built verification in highway construction. It accompanies the manuscript “An Uncertainty-Aware Digital-Twin Framework for Automated Design-to-As-Built Verification in Highway Construction.” The benchmark contains 60 res...
Usman Haider, Hina Iqbal, Humayon Muhammad et al.· Zenodo (CERN European Organi...· 0 citations
German language education in the United States faces two connected pressures: a limited supply of qualified teachers and a contraction of programs and enrollments, especially at institutions with fewer resources. Generative artificial intelligence cannot certify teachers, improve salaries, or reverse institutional disi...
Gideon Akinwale Oladayo· World Journal of Advanced Re...· 0 citations
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Abstract Large industrial organizations increasingly rely on psychometric assessment to support high-stakes workforce decisions across geo-graphically dispersed and safety-critical environments. Traditional assessment workflows, which depend heavily on manual scoring and expert psychological interpretation, face signif...
Arwa Alnajashi, Sarafudheen Muzaliamveettil Tharayil, Maria Alghamdi· 0 citations
Generative artificial intelligence (GenAI) is changing how tourists search for information, construct itineraries, evaluate destinations, and interact with tourism businesses. Recent tourism research has expanded rapidly, but the evidence base remains uneven across regions and applications. This literature review synth...
Gomba Pamela Anesu, Guisong Chen· International Journal of Sci...· 0 citations
Generative artificial intelligence (GenAI) can produce persuasive university work without revealing who performed or checked the reasoning behind it. This conceptual article develops an AI-specific elaboration of the previously disseminated Spectra Human-Centered Learning Framework. Its three foundational conditions, s...
Mario Guadalupe López Ayala· Revista Científica Arbitrada...· 1 citation
The findings indicate that generative AI can support student learning when institutions pair curricular integration with verification practices, ethical-use guidance, and assessment designs that preserve independent thinking.
Ronald U. Wacas, Christina T. Caddawan· International Journal of Eva...· 0 citations
Twenty years after open access transformed scholarly publishing, another game-changer in the form of generative AI emerged, bringing with it significant implications for the quality of the scholarly record. The peer-review system, which has long been the most important gatekeeping and evaluation mechanism used by publi...
Catherine Ann Marshall, Isabella Peters, Niels Taubert· Zenodo (CERN European Organi...· 0 citations
Artly is presented, an AI system that combines personalizable AI feedback with human-authored learning resources that was perceived as helpful for learning and self-improvement, with the exception of the most proficient participants.
Ulvi Rajabli, Alexander Wiethoff, Zelun Tony Zhang· Proceedings of the 14th Nord...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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.
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