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generative ai

2,720 papers

#generative ai Review Open access Aug 2026

MEASURING THE IMPACT OF GENERATIVE AI ON SOFTWARE TEAM PRODUCTIVITY AND OUTPUT QUALITY IN AGILE ENVIRONMENTS

Generative artificial intelligence (GAI) is becoming more incorporated into software engineering functions like code creation, debugging, requirement analysis, testing, and sharing knowledge. This research looks at how GAI affects software teams in terms of productivity and quality of the output in Agile environments....

Abdalmenam Khalif Masaud Abuswah, Abdarrahman Khalif Ali Abousowa, Ziad Omar Salem Wareg · 0 citations
#generative ai Open access Aug 2026

MANUSAKSI-AI v1.1 A Human-Authenticated Framework for Documenting Human–AI Interaction, Emergent Experience, and Human–AI Lexicon

Generative Artificial Intelligence is increasingly becoming part of human thinking, writing, research, creativity, decision-making, and everyday conversation. This development creates a methodological problem for documenting Human-AI interaction: how can a human experience involving AI be recorded without allowing AI-g...

Kian Tik Go · 0 citations
#generative ai Review Sep 2026

AI Shepherds and Electric Sheep: Leading and Teaching in the Age of Artificial Intelligence

The theology chapters may be the most valuable in the book for a broad audience that spans pastors, church leaders, and lay people who may or may not regularly work with AI, and will help those teaching and preaching to connect doctrine to current and emerging AI content and methodology.

Seán A. O'Callaghan, Paul Hoffman · 0 citations
#generative ai Review Open access Sep 2026

From Days to Hours: Artificial Intelligence in Antimicrobial Resistance Diagnostics and Drug Discovery, and Why No Tool Has Yet Reached the Clinic

Artificial intelligence has moved convincingly beyond proof-of-concept in AMR diagnostics and discovery, but its path to the clinic now depends less on further algorithmic refinement than on prospective validation, equitable data representation, and interpretability standards that clinicians can reasonably trust.

Unknown authors · 0 citations
#generative ai Review Open access Sep 2026

Ethical Dilemmas of Generative AI in Education and Their Implications for SDG 4: A Systematic Review from a Global and Inclusive Perspective

The findings reveal that current discussions on GAI in education are largely characterized by retrospective and crisis-driven ethical framings, predominantly focused on risks such as plagiarism, bias, and misinformation, while offering limited engagement with proactive, context-sensitive strategies aligned with SDG 4.

Eva García-Beltrán · 0 citations
#large language models Open access Sep 2026

Integrating Large Language Models (LLMs) with Oracle 26AI for Advanced Enterprise Analytics and Knowledge Management

Results indicate that LLM-augmented analytics on a converged Oracle 26AI platform can reduce average analytical query resolution time by approximately 60 percent relative to traditional BI report cycles, achieve semantic retrieval precision above 90 percent for enterprise knowledge corpora, and reduce generative output...

Krishna Kompalli · 0 citations
#generative ai Review Open access Aug 2026

Evaluating the Accuracy, Empathy, and Readability of Generative AI Versus Registered Nurses in Discharge Planning: A Vignette‐Based Study

While artificial intelligence produced more comprehensive information, it generated clinically unsafe content and scored significantly lower than nurses in empathy and readability, and healthcare organizations should establish protocols requiring nurse verification of all artificial intelligence-generated discharge con...

Yike Wang, Meiyan Ji, Xing-Hua Bai et al. · 0 citations
#generative ai Jul 2026

Developers'Experience with Generative AI Beyond Productivity Assessment -- Insights from an Empirical Mixed-Methods Field Study

This paper presents a developer-centered empirical mixed-methods study to investigate how professional developers engage with Generative AI in their natural work environment, and proposes a rule-of-thumb for selecting an interaction type based on task characteristics.

Charlotte Brandebusemeyer, Kerim Zunic, Thomas Zimmermann et al. · 0 citations
#generative ai Sep 2026

Comprehensive Analysis of Highly Efficient, High-Gain, Modular and Scalable, Dual-Linear-Polarized Metalens Antenna for SatCom Applications

Metalens antennas are emerging as promising candidates for compact high-gain antenna systems in next-generation wireless and satellite communication applications, where stringent link-budget requirements demand highly directive yet lightweight and compact apertures. In such systems, improving aperture efficiency is cri...

Rajbala Solanki, Cedric W. L. Lee, Peng Khiang Tan et al. · 0 citations

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MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

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