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generative ai

2,176 papers

#generative ai Open access Oct 2026

Counting intersections of rational cyclic grids: an application of Smith normal form

Choose two points from equally spaced grids on a circle. How many choices put both their sum and their difference on specified target grids? A small example leads from fractions to integer congruences. We then use classical Smith normal form to obtain the exact count, carefully allowing the two input grids to have diff...

Rushikesh Murlidhar Walke · 0 citations
#artificial intelligence Open access Oct 2026

Skewed toward uniformity? Investigating algorithmic stereotyping and amplification in AI-generated images

As text-to-image generative artificial intelligence (AI) increasingly shapes visual communication, concerns are growing about its role in reproducing social stereotypes. While recent algorithm auditing studies have advanced our understanding of stereotypical AI-generated imagery, they have largely focused on a narrow s...

Daniela Mahl, Lars Guenther · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "Mycobacterial Lipoarabinomannan: Major Trail of Immune Evasion and Drug resistance in host"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23181910. Major issues From the title: The phrase "drug resistance in host" is also unclear. It needs to be revised so as to reflect the paper's actual focus. The manuscript mainly...

Mabel Bolajoko Omoniwa, Paul Agabi ODEH · 1 citation
#artificial intelligence Open access Oct 2026

A Framework for Classifying Uncertainties in AI-Driven Newsrooms

This study examines how generative artificial intelligence (GAI) is adopted and integrated into the newsroom of a major Brazilian media organization—Globo. While AI deployment in journalism has expanded globally, the experiences lived by journalists in contexts that are not Western, educated, industrialized, rich, and...

Luna Paladino, Paula Chimenti, André Fonseca · 0 citations
#generative ai Conference Open access Oct 2026

Engaging HBCU Students in Active Learning for Blockchain, FinTech, and Generative AI: A Human-Centered Pedagogical Framework

A human-centered pedagogical framework to engage HBCU students in active learning about blockchain, FinTech, and generative AI is proposed and suggests that active, collaborative, and AI-supported pedagogy can increase student participation, reduce anxiety around technical topics, support inclusive learning, and streng...

Shan-Zhen Gao, Wei-Zheng Gao, Julian D. Allagan et al. · 0 citations
#generative ai Open access Oct 2026

Efficacy and Mechanism of Generative AI in Empowering English Writing Instruction

The results show that generative AI-assisted instruction has a moderately strong facilitative effect on learners' writing performance, achieved mainly by reducing extraneous cognitive load, enhancing writing self-efficacy, and deepening feedback engagement.

Yi-Ning Liu, Xiao-Min Li · 0 citations
#generative ai Oct 2026

Extending the affective process and strategic engagement framework to address writer’s block in Ethiopian English as a foreign language contexts through critical artificial intelligence literacy and ethical generative artificial intelligence in low-resource settings

Abstract Writer’s block remains a serious obstacle for undergraduate English as foreign language writers, particularly in low-resource Global South settings, where writing anxiety, linguistic insecurity, and unreliable internet access intensify the challenge. Researchers have shown growing interest in generative artifi...

Eshetie Kasie · 0 citations
#artificial intelligence Open access Oct 2026

Mapping generative AI governance readiness in Kurdistan Region universities

It is argued that universities should move beyond plagiarism control toward transparent, multilingual, locally grounded AI governance that supports academic integrity, responsible learning, assessment fairness, data protection, and student and staff AI literacy.

A. Abdulrahman, S. Ahmed · 0 citations
#data science Conference Open access Oct 2026

Building Financial Resilience at HBCUs through Generative AI, FinTech, Blockchain, and Cybersecurity Education

Financial resilience has become an urgent educational priority as individuals face increasingly complex decisions involving budgeting, debt, credit, retirement planning, digital payments, online fraud, artificial intelligence tools, and rapidly changing financial technologies. Historically Black Colleges and Universiti...

Wei-Zheng Gao, Shan-Zhen Gao · 0 citations
#artificial intelligence Open access Oct 2026

Artificial Intelligence in Language Education: Pedagogical Applications, Representative Platforms, and Human Oversight

Artificial intelligence is reshaping language education through automated feedback, speech recognition, adaptive practice, dialogue systems, machine translation, learning analytics, and generative language models. This article critically reviews the principal pedagogical uses of these technologies and examines represen...

Sema Mehdi, Turkan Mehraj Ismayilli · 0 citations
#artificial intelligence Open access Oct 2026

How does AI-generated assessment compare to expert assessment in simulation-based experiences: Analyzing AI-human interrater reliability

Abstract Background In the health professions, artificial intelligence simulation-based experiences (AI-SBEs) are increasingly used to evaluate learner performance and provide feedback. Benefits of AI-SBEs include providing instantaneous feedback, allowing more practice opportunities than feasible using traditional met...

Margaret Brace, Gail Furman, Lisa Diewald et al. · 0 citations

From tech blogs

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Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

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.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

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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