Enhancing mechanical and bioinspired materials through generative AI approaches

Next Materials, Год журнала: 2024, Номер 6, С. 100275 - 100275

Опубликована: Июль 31, 2024

Язык: Английский

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A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing

Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 92, С. 102883 - 102883

Опубликована: Сен. 26, 2024

Язык: Английский

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Systematic analysis of generative AI tools integration in academic research and peer review

Online Journal of Communication and Media Technologies, Год журнала: 2025, Номер 15(1), С. e202502 - e202502

Опубликована: Янв. 6, 2025

While sparking a big debate among academics, generative artificial intelligence (GAI) tools are becoming integral to academic research, holding the potential transform traditional research and peer review methods. This systematic literature investigates emergent role of GAI in workflow scholarly publications by analyzing 44 articles. The process identifying most relevant was done following preferred reporting items for reviews meta-analyses method. findings provide thorough understanding how is currently being utilized various aspects process, including concerns, limitations, proactive measures better employ these effectively. Our suggests need more develop appropriate policies guidelines, enhance researchers’ literacy through targeted training, ensure ethical use boost productivity quality.

Язык: Английский

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Generative AI and Large Language Models in Industry 5.0: Shaping Smarter Sustainable Cities

Encyclopedia, Год журнала: 2025, Номер 5(1), С. 30 - 30

Опубликована: Фев. 21, 2025

This review paper examines how Generative AI (GAI) and Large Language Models (LLMs) can transform smart cities in the Industry 5.0 era. Through selected case studies portions of literature, we analyze these technologies’ impact on industrial processes urban management. The targets GAI as an enabler for optimization predictive maintenance, underlining domain experts work with LLMs to improve municipal services citizen communication, while addressing practical ethical challenges deploying technologies. We also highlight promising trends, reflected real-world ranging from factories city-wide test-beds identify pitfalls avoid. Widespread adoption still faces that include infrastructure lack specialized knowledge a limitation proper implementation. While enable new citizens cities, they expose certain privacy issues, which aim investigate this study. Finally, way forward, suggests future research directions covering frameworks long-term societal impacts. Our is starting point pioneers developers navigate complexity LLM integration, balancing demands technological innovation one hand responsibility other.

Язык: Английский

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Empowering Manufacturing: Generative AI Revolutionizes ERP Application

International Journal of Innovative Science and Research Technology (IJISRT), Год журнала: 2024, Номер unknown, С. 593 - 595

Опубликована: Март 16, 2024

This article delves into the transformative implications of integrating state-of-the-art Generative AI technologies Enterprise Resource Planning (ERP) applications within manufacturing industry. With landscape experiencing rapid evolution, there is a growing imperative for adaptive and intelligent systems to optimize efficiency, productivity, decision- making processes. Through exploration AI's natural language processing capabilities, this unveils new frontier in smart manufacturing, where ERP are empowered redefine conventional paradigms catalyze innovation. Furthermore, examines impact on supply chain management, leveraging its capacity process extensive textual data enhanced demand forecasting, inventory optimization, risk management. enhances adaptability resilience ecosystems, enabling them navigate dynamic market conditions with agility.

Язык: Английский

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Crafting the Future

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 199 - 217

Опубликована: Апрель 26, 2024

Crafting the Future: OpenAI's Strategies and Sustainable Innovation examines innovative ideas in ever-changing AI landscape. The chapter highlights safety, transparency, social benefit. This lets us examine organization's research environment, focused on sophisticated language models their groundbreaking applications numerous domains. Sustainability is prioritised over scientific advancement an inclusive ecosystem at OpenAI. discusses collaborative frameworks, partnerships, community involvement to democratise ethically deploy AI. proactive approach consequences ethics, including bias reduction development's ethical problems, also examined. Future informs academics, politicians, enthusiasts about impact global laws standards. trajectory poses ethical, collaborative, revolutionary questions throughout chapter. Beyond cutting-edge technology, OpenAI seeks change world.

Язык: Английский

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A non-intrusive and adaptive Digital Twin as enabling learning ecosystem for the development of predictive models in manufacturing environments

Опубликована: Янв. 1, 2024

dos personas sin las que este relato

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A non-intrusive and adaptive Digital Twin as enabling learning ecosystem for the development of predictive models in manufacturing environments

Опубликована: Янв. 1, 2024

dos personas sin las que este relato

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Transition to Sustainable Human-Centric Education in Emerging Artificial Intelligence Industry 5.0

Advances in higher education and professional development book series, Год журнала: 2024, Номер unknown, С. 37 - 76

Опубликована: Дек. 18, 2024

The wave of European Commission conception for the Fifth Industrial Revolution, or Industry 5.0, a new paradigm towards sustainability that will use technology to transform world is essentially proliferating. In this paper, authors exceptionally advanced generative artificial intelligence (AI) in development conversational education pedagogy Society 5.0 by describing technological underpinnings, guiding principles, essential values, and key components education. Conversational AI was projected with help user-centric ChatGPT-5 .The goal provide educational technologist best practices experimentally validated guidelines measuring, enhancing, maintaining human centeredness. It anticipated would incorporate more sophisticated multimodal features, allowing it process produce text addition images, voice, maybe video. Creating intricate visual material, helping video content offering dynamic captivating user experiences

Язык: Английский

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Exploring the adoption and long-term effects of ChatGPT in a sustainable supply chain

Flexible Services and Manufacturing Journal, Год журнала: 2024, Номер unknown

Опубликована: Окт. 14, 2024

Язык: Английский

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