Exploring the use of generative AI for material texturing in 3D interior design spaces DOI Creative Commons
Rgee Wharlo Gallega, Yasuyuki Sumi

Frontiers in Computer Science, Год журнала: 2024, Номер 6

Опубликована: Ноя. 28, 2024

Material selection is important yet difficult in interior design, as designers need to consider technical factors beyond aesthetics, such maintenance, sustainability, and costs that are often considered later stages of the design process. As a result, making changes due unanticipated constraints can be costly. We attempt approach this problem by anticipating these early conceptualization stage, where model assign textures their 3D scenes. To end, our study explores use generative AI tools, namely ChatGPT DALLE-2, both texturing scenes selecting materials for projects. Through prototype, we evaluated tools conducting user with professional students ( n = 11). Based on creativity support (CSI), participants averaged score 72.82/100, while task load (NASA-TLX), they scored 47.36/100. qualitative feedback, could easily search explore also receiving informative contextually relevant suggestions colors from ChatGPT. However, improved fine-tuning domain-specific datasets. Lastly, analyze how interacted reflect benefit using material

Язык: Английский

Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? DOI
Samuel Fosso Wamba, Maciel M. Queiroz, Charbel José Chiappetta Jabbour

и другие.

International Journal of Production Economics, Год журнала: 2023, Номер 265, С. 109015 - 109015

Опубликована: Авг. 23, 2023

Язык: Английский

Процитировано

132
Revolutionizing generative pre-traineds: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs DOI
Feriel Khennouche, Youssef Elmir, Yassine Himeur

и другие.

Expert Systems with Applications, Год журнала: 2024, Номер 246, С. 123224 - 123224

Опубликована: Янв. 19, 2024

Язык: Английский

Процитировано

32
Potential Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Architectural Engineering DOI

Nitin Rane

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

The incorporation of generative artificial intelligence (AI) systems, such as ChatGPT, holds great potential in reshaping diverse facets architectural engineering. This research investigates the profound influence AI technologies on structural engineering, HVAC (Heating, Ventilation, and Air Conditioning) electrical plumbing fire protection sustainability, net zero, green building design, information modeling (BIM), urban planning, project management. In ChatGPT's capacity to analyse extensive datasets simulate intricate structures expedites design process, ensuring integrity while optimizing materials costs. it aids devising energy-efficient systems climate control solutions, significantly contributing sustainable practices. Similarly, AI's capabilities enhance optimization both safety reliability. ChatGPT assists creating efficient layouts suppression compliance with regulations. Moreover, plays a pivotal role advancing sustainability design. By evaluating environmental factors suggesting eco-friendly designs, fosters development environmentally responsible structures. domain BIM, facilitates seamless collaboration, automates model generation, improves clash detection, streamlined execution. Nevertheless, integration engineering presents challenges. Ethical concerns, data security, necessity for skilled professionals interpret AI-generated insights are significant issues. delves into these contribution challenges effectively harness AI, paving way transformative era

Язык: Английский

Процитировано

29
ChatGPT in pharmacy practice: a cross-sectional exploration of Jordanian pharmacists' perception, practice, and concerns DOI Creative Commons
Khawla Abu Hammour, Hamza Alhamad, Fahmi Y. Al-Ashwal

и другие.

Journal of Pharmaceutical Policy and Practice, Год журнала: 2023, Номер 16(1)

Опубликована: Окт. 3, 2023

The purpose of this study is to find out how much pharmacists know and have used ChatGPT in their practice. We investigated the advantages disadvantages utilizing a pharmacy context, amount training necessary use it proficiently, influence on patient care using survey.

Язык: Английский

Процитировано

23
Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or Bard DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

и другие.

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

This research paper explores the transformative possibilities arising from integration of ChatGPT, an advanced language model, into domain intelligent manufacturing. In face rapid changes in manufacturing landscape, there is increasing demand for adaptive and systems to elevate efficiency, productivity, decision-making processes. study investigates incorporation ChatGPT's or Bard cutting-edge natural processing capabilities various forefront aspects establish a novel paradigm The ChatGPT processes presents versatile approach tackle challenges seize opportunities within modern production systems. A pivotal aspect this lies augmenting human-machine collaboration factory. understanding facilitates seamless communication between human operators automated systems, fostering more intuitive responsive environment. Additionally, delves utilization predictive maintenance facilities. Through analysis historical data real-time information, can provide insights potential equipment failures, enabling proactive strategies that mitigate downtime optimize resource utilization. also application supply chain management. model's capacity process vast amounts textual contributes improved forecasting, inventory optimization, risk results resilient agile ecosystem capable adapting dynamic market conditions. Furthermore, role quality control defect detection. model analyze intricate patterns data, identifying anomalies defects with high degree accuracy. Integrating assurance ensures higher product quality, reducing waste, enhancing overall customer satisfaction. findings highlight revolutionize processes, propelling industry towards greater adaptability, competitiveness rapidly evolving global market.

Язык: Английский

Процитировано

11
Interpreting text corpora from androids-related stories using large language models: “Machines like me” by Ian McEwan in generative AI DOI Creative Commons
Simona‐Vasilica Oprea, Adela Bârã

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0
The opinion dynamics model for group decision making with probabilistic uncertain linguistic information DOI Creative Commons
Jiaqi Ji,

Zhuxuan Jin,

Meiqin Wu

и другие.

Complex & Intelligent Systems, Год журнала: 2025, Номер 11(5)

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

0
Potential Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Architectural Engineering DOI Open Access
Nitin Liladhar Rane

International Journal of Artificial Intelligence and Machine Learning, Год журнала: 2024, Номер 4(1), С. 22 - 47

Опубликована: Янв. 5, 2024

The incorporation of generative Artificial Intelligence (AI) systems, such as ChatGPT, holds great potential in reshaping diverse facets architectural engineering.This research investigates the profound influence AI technologies on structural engineering Heating, Ventilation, and Air Conditioning(HVAC) engineering, electrical plumbing fire protection sustainability, net zero, green building design, Building Information Modeling (BIM), urban planning, project management.In ChatGPT's capacity to analyze extensive datasets simulate intricate structures expedites design process, ensuring integrity while optimizing materials costs.In HVAC it aids devising energy-efficient systems climate control solutions, significantly contributing sustainable practices.Similarly, AI's capabilities enhance optimization both safety reliability.In ChatGPT assists creating efficient layouts suppression compliance with regulations.Moreover, plays a pivotal role advancing sustainability design.By evaluating environmental factors suggesting eco-friendly designs, fosters development environmentally responsible structures.In domain BIM, facilitates seamless collaboration, automates model generation, improves clash detection, streamlined execution.Nevertheless, integration presents challenges.Ethical concerns, data security, necessity for skilled professionals interpret AI-generated insights are significant issues.This delves into these contribution challenges effectively harness AI, paving way transformative era engineering.

Язык: Английский

Процитировано

3
Health system-wide access to generative artificial intelligence: the New York University Langone Health experience DOI
Kiran Malhotra, Batia M. Wiesenfeld, Vincent J. Major

и другие.

Journal of the American Medical Informatics Association, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 25, 2024

Abstract Objectives The study aimed to assess the usage and impact of a private secure instance generative artificial intelligence (GenAI) application in large academic health center. goal was understand how employees interact with this technology influence on their perception skill work performance. Materials Methods New York University Langone Health (NYULH) established secure, private, managed Azure OpenAI service (GenAI Studio) granted widespread access employees. Usage monitored users were surveyed about experiences. Results Over 6 months, over 1007 individuals applied for access, high among research clinical departments. Users felt prepared use GenAI studio, found it easy use, would recommend colleague. employed studio diverse tasks such as writing, editing, summarizing, data analysis, idea generation. Challenges included difficulties educating workforce constructing effective prompts token API limitations. Discussion demonstrated interest extensive healthcare setting, employing tasks. While identified several challenges, they also recognized potential indicated need more instruction guidance usage. Conclusion provided useful tool augment skills apply daily underscored importance education when implementing system-wide insights into its strengths weaknesses.

Язык: Английский

Процитировано

2
Intelligent smelting process, management system: Efficient and intelligent management strategy by incorporating large language model DOI Creative Commons
Tianjie Fu, Shimin Liu, Peiyu Li

и другие.

Frontiers of Engineering Management, Год журнала: 2024, Номер 11(3), С. 396 - 412

Опубликована: Июль 11, 2024

Abstract In the steelmaking industry, enhancing production cost-effectiveness and operational efficiency requires integration of intelligent systems to support activities. Thus, effectively integrating various modules is crucial enable collaborative operations throughout entire chain, reducing management costs complexities. This paper proposes, for first time, Vision-Language Model (VLM) Large Language (LLM) technologies in steel manufacturing domain, creating a novel process system. The system facilitates data collection, analysis, visualization, dialogue process. VLM module provides textual descriptions slab defect detection, while LLM technology supports analysis question-answering. feasibility, superiority, effectiveness are demonstrated through comparative experiments. has significantly lowered enhanced understanding, marking critical step toward cost-effective domain.

Язык: Английский

Процитировано

1