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generative ai

2,176 papers

#data science Review Open access Oct 2026

Integrating Sustainability and Life Cycle Assessment into CAD-Driven Product Design: A Systematic Review of Frameworks, Additive Manufacturing Trade-offs and Industry 4.0 Enablers

With decarbonisation goals and new ecodesign regulations, life cycle assessment (LCA) is increasingly becoming a function of computer-aided design (CAD). This paper undertakes a systematic review following PRISMA 2020 statement of research related to integrating sustainability and LCA into CAD driven product design. Pe...

Arnold Ngwarai, Gannet Jonga, Brian Chidhumo et al. · 0 citations
#generative ai Review Oct 2026

Toward understanding AI adoption in the Global South: an empirical study of creative practitioners’ experiences in Iran

The underlying factors influencing the dominance of the director mental model, the importance of control and intelligible explanations for user empowerment, the compensatory labor as an Adoption Tax imposed by access barriers and culturally unrepresentative models, and the emergence of Folk Ethics as the practitioners...

Farzaneh Hosseinian, Iman Sheikhansari · 0 citations
#generative ai Oct 2026

TechBio 3.0 closes the drug discovery loop with multimodal AI and generative chemistry

TechBio 3.0 is defined as an emerging paradigm for closed-loop drug discovery that connects multimodal molecular representations, generative chemistry, and automated experimentation and is argued that this convergence is beginning to define biotechnology’s next era.

K. Ramadurai, Abhirup Banerjee · 0 citations
#generative ai Open access Oct 2026

Cognitive flexibility, technostress, and mathematics teachers' acceptance of ChatGPT: a cross-sectional indirect-effect analysis

Introduction Generative artificial intelligence (GenAI) is rapidly entering mathematics classrooms, yet little is known about how teachers psychologically adapt to its use. Drawing on the Technology Acceptance Model (TAM) as an organizing framework and the transactional theory of stress and coping as a process account,...

Baris Demir, Rümeysa Beyazhançer · 0 citations
#generative ai Open access Oct 2026

The Law of Requests (LRF-12): Engineering Engagement and Possibility in a Word-Created World

This paper introduces Linguistic Reality Engineering (LRE), a new scientific discipline exploring how language is not merely descriptive but generative of human reality. By proposing laws of the linguistic world analogous to laws in physics, chemistry, and biology, LRE provides a framework for understanding how identit...

Hiten Bhuta · 0 citations
#generative ai Open access Oct 2026

Visibility of the Korean National Health Information Portal across search engines and generative artificial intelligence platforms: a repeated cross-sectional study

Objectives: This study assessed changes in the visibility of the National Health Information Portal (NHIP), operated by the Korea Disease Control and Prevention Agency, across conventional search portals and generative artificial intelligence (AI) platforms. Methods: We analyzed 150 health-related keywords derived from...

Younglee Choi, Hee-kyoung Nam, Belong Cho · 0 citations
#generative ai Book Oct 2026

Building Prompt Literacy in Cambodian Higher Education

This chapter focuses on the construction of prompt literacy as an emerging core competency in the context of the growing importance of generative artificial intelligence (AI) in higher education in Cambodia. The chapter argues that prompt literacy needs to be constructive and composite should comprise the ability to be...

Sovanna Huot, Kimyut Phin · 0 citations
#generative ai Open access Oct 2026

LIL Quantum DSL V.6 — Prespatial Chronogeometry Temporal–Semantic Computing Module

The LIL V.6 Prespatial Chronogeometry Engineering Computing Module represents the next conceptual stage in the evolution of the LIL Quantum DSL family. Building on the non‑binary impulse logic of LIL V.3 and the semantic compression framework of LIL V.4, LIL V.6 introduces a unified temporal–semantic layer designed for...

Mindaugas Pipiras · 0 citations
#generative ai Open access Oct 2026

FDCL Part X: FDCL Generation Operators — Spectral Counting and Controlled Dynamics

We analyze an explicit unbounded two-component FDCL generation operator and a family sharing its leading block structure. A sum-of-squares form, logarithmic cutoff and graph-norm estimate identify its self-adjoint realization, weighted operator domain and compact resolvent. Unitary re-pairing compares it with a classic...

Bin Seol · 0 citations
#generative ai Open access Oct 2026

THE CREATIVE POTENCY & COSMIC PRIMORDIAL SUBSTRATE HYPOTHESIS AT THE LIMIT Creation, Pre-Conceptual Unknowns, Generative Possibility, Evidence, and Civilizational Becoming

THE CREATIVE POTENCY & COSMIC PRIMORDIAL SUBSTRATE HYPOTHESIS AT THE LIMITCreation, Pre-Conceptual Unknowns, Generative Possibility, Evidence, and Civilizational Becoming English Description | Zenodo / Google Books What if every creative work may carry a latent potency that extends beyond its immediate form, and what i...

33 · 0 citations
#generative ai Open access Oct 2026

Dark Patterns as Quality Risks in GPT-Generated Geospatial Interface Prototypes

Abstract. Generative AI tools are changing how interface ideas are turned into executable prototypes. While this can accelerate early design exploration, it also raises a quality concern: design goals expressed in prompts may be carried into the resulting interface in ways that affect user autonomy. This paper examines...

Fabrício Pereira Diniz, João Pedro de Souza Olivo Tardivo, Gabriel da Motta Colete Da Motta Colete 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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