Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or Bard

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

---

Contribution of ChatGPT and Similar Generative Artificial Intelligence for Enhanced Climate Change Mitigation Strategies

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

The urgent acceleration of climate change necessitates the development innovative and adaptive mitigation strategies. This study investigates how ChatGPT or Bard, an advanced language model, enhances efforts to mitigate change. By leveraging natural processing machine learning, facilitates improved communication, collaboration, decision-making among stakeholders, thereby accelerating implementation paper begins by examining context change, emphasizing need for robust measures. It underscores limitations traditional approaches introduces transformative potential integrating into action frameworks. model's capacity analyze extensive datasets generate human-like text allows it comprehend intricate science, distill key insights, communicate them effectively. research identifies strategies that benefit from ChatGPT's intervention. One such strategy involves optimizing deployment renewable energy. assists in identifying optimal locations energy infrastructure, considering geographical climatic factors. Additionally, model aids developing sophisticated management systems, enhancing efficiency reliability sources. In sustainable agriculture, contributes providing real-time data analysis precision farming. helps farmers optimize resource utilization, minimize environmental impact, adopt climate-resilient agricultural practices. Moreover, formulating policies promote land use forest conservation. also explores role resilience through risk assessment adaptation planning. analyzing data, vulnerable regions targeted infrastructure resilience, disaster preparedness, community engagement. Furthermore, discusses fostering global collaboration. cross-border information exchange, knowledge sharing, formulation unified policies. collaborative approach is essential addressing transboundary nature achieving international goals. harnessing capabilities, stakeholders can unlock new dimensions innovation, paving way a more resilient future.

Язык: Английский

---

Eyes in the Sky

Advances in information security, privacy, and ethics book series, Год журнала: 2024, Номер unknown, С. 405 - 451

Опубликована: Янв. 26, 2024

The rapid proliferation of drones across various industries necessitates a comprehensive examination the privacy and ethical implications in their cybersecurity landscape. This chapter aims to dissect address these concerns, providing valuable resource for scholars, policymakers, industry practitioners. objectives are clearly outlined, emphasizing exploration challenges considerations within context drone cybersecurity. begins by delving into associated with operations, focusing on surveillance concerns responsible collection storage sensitive data. Ethical then scrutinized, highlighting dual-use nature intricacies autonomous decision-making. A critical evaluation existing regulatory landscape governing operations frameworks is presented, shedding light effectiveness limitations.

Язык: Английский

---

Enhancing water and air pollution monitoring and control through ChatGPT and similar generative artificial intelligence implementation

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

This research delves into the utilization of advanced artificial intelligence (AI), specifically ChatGPT or Bard, to improve strategies for monitoring and controlling water air pollution. Given escalating concerns surrounding environmental degradation its repercussions on public health, there is a pressing demand innovative pollution management techniques. investigation centers harnessing capabilities ChatGPT, an language model, address real-time data analysis, decision-making, engagement challenges within realm quality. Incorporating cutting-edge methods in monitoring, such as sensor networks, satellite imagery, IoT devices, this aims obtain comprehensive understanding dynamics. Nevertheless, substantial volume presents processing extracting meaningful insights. employed intelligent tool proficient comprehending natural queries delivering insightful analyses. integration streamlines interpretation intricate sets, enabling swift decision-making control authorities. Moreover, assumes pivotal role by serving user-friendly interface disseminating information levels, regulatory measures, preventive actions. Through interactive conversations, it enhances communication between agencies general public, cultivating awareness encouraging participation initiatives. paper underscores significance collaborative human-AI approach tackling multifaceted The also ethical considerations associated with AI-driven emphasizing importance responsible AI implementation. As technologies progress, proposed framework contribute ongoing discourse sustainable involvement. By synergizing state-of-the-art techniques, seeks offer efficacious solution advancing contemporary landscape.

Язык: Английский

---

Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

The infusion of generative artificial intelligence (AI) stands out as a transformative influence in civil engineering, reshaping conventional methodologies and elevating the effectiveness precision across various domains. This study delves into nuanced impact ChatGPT, potent language model, key realms within engineering: Structural Engineering, Geotechnical Transportation Environmental Water Resources Urban Regional Planning, Materials Coastal Earthquake Engineering. Within ChatGPT assumes central role formulating refining structural designs. By deciphering intricate engineering concepts proposing inventive solutions, assists engineers crafting structures that not only exhibit resilience but also optimize resource utilization. Its proficiency scrutinizing extensive datasets delivering insights positions it an invaluable tool for augmenting integrity safety. Engineering benefits from ChatGPT's aptitude processing interpreting geological geophysical data. Through generation reports analyses, aids recognizing potential risks suggesting mitigation strategies, thereby expediting decision-making geotechnical projects. In realm application involves streamlining traffic flow, devising intelligent transportation systems, overall infrastructure planning. natural capabilities facilitate seamless communication collaboration among diverse stakeholders engaged contributes to evaluation environmental studies, assisting planners making well-informed decisions prioritizing sustainability. Moreover, its capability simulate scenarios formulation effective pollution control measures. leverages data interpretation modeling, enabling precise predictions water flow patterns aiding design efficient management systems. extends contributions where urban development optimizing land use, addressing challenges associated with population growth urbanization. prowess analysis materials enhanced properties, resilient coastal structures, creation earthquake-resistant infrastructure. research paper scrutinizes how integration these disciplines heightens efficiency practices unlocks new avenues innovation, sustainability, face evolving challenges.

Язык: Английский

---

Assessing the ethical, social and psychological risks of active and passive exoskeletons in the construction industry: trust, productivity and stress levels

Smart and Sustainable Built Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 7, 2025

Purpose Exoskeletons have the potential to alleviate musculoskeletal disorders (MSDs), increase productivity and ultimately reduce construction project costs, but concerns about their ethical, social psychological risks for industry are unknown. This paper investigates these implications exoskeleton acceptance. Design/methodology/approach Participants performed masonry tasks without an with active passive exoskeleton. Using descriptive inferential statistics, associated exoskeletons, as well trust levels, were assessed. Objective data procured determine stress levels while subjective included ethical of exoskeletons. Findings The findings show that lack informed consent procuring sensitive health is important consideration when using Regarding risks, unequal access sharing costs major concerns. Furthermore, revealed statistical differences between exoskeletons in terms certain risks. participants believed more than results also a strong positive relationship levels. indicated both induce relatively moderate enhance productivity, compared no condition. Originality/value study one few empirical investigations on which can facilitate adoption mitigating MSDs industry.

Язык: Английский

---

A New Era of Automation in the Construction Industry: Implementing Leading-Edge Generative Artificial Intelligence, such as ChatGPT or Bard

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

The construction sector stands at the cusp of a transformative period propelled by integration generative artificial intelligence (AI) into diverse aspects its operations. This investigation delves revolutionary impact deploying cutting-edge AI, particularly ChatGPT model, across various dimensions activities. study concentrates on thorough exploration ChatGPT's utilization in crucial domains such as robotic equipment, 3D/4D/5D/6D printing processes, building information modeling (BIM) workflows, robotics, smart materials, and augmented/virtual reality (AR/VR) technologies, along with role drone surveying mapping. research underscores seamless enhancing effectiveness adaptability autonomous machinery. Furthermore, it examines benefits incorporating advanced where plays pivotal streamlining design iterations optimizing material usage. Additionally, investigates enhanced communication facilitated BIM promoting collaboration minimizing errors project planning execution. introduction robotics emerges groundbreaking advancement, amplifying capabilities systems enabling sophisticated tasks. also scrutinizes application development contributing to creation adaptive responsive components. Moreover, paper explores synergies between AR/VR presenting innovative approaches immersive visualization interactive planning. use mapping, showcasing elevating data analysis decision-making site management. By proposing comprehensive framework for implementing ChatGPT/Bard construction, outlines guidelines existing workflows. concludes shedding light potential ChatGPT, heralding new era automation innovation industry.

Язык: Английский

---

Contribution of ChatGPT and Similar Generative Artificial Intelligence in Geotechnical Engineering and Soil Mechanics

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

This research study investigates the influence of ChatGPT on geotechnical engineering and soil mechanics. Positioned as an advanced language model, has emerged a formidable asset for enhancing communication, collaboration, problem-solving within geotechnics domain. A key aspect ChatGPT's contribution lies in its capacity to facilitate streamlined communication among engineers, researchers, practitioners. Leveraging natural processing capabilities, model enables seamless interaction, cultivating collaborative environment exchanging ideas, sharing insights, addressing intricate challenges projects. heightened leads expedited problem resolution enhanced decision-making processes. Additionally, plays crucial role automating routine tasks engineering, allowing professionals allocate more time critical analyses innovative pursuits. The model's ability generate human-like responses streamlines data interpretation, report generation, documentation processes, thereby boosting overall workflow efficiency. In context slope stability analysis, showcases prowess by assisting interpretation providing insights into potential failure mechanisms. Its application extends mechanics, where aids analyzing behaviour under varying conditions, contributing deeper understanding soil-structure interaction. Moreover, proves invaluable synthesizing interpreting extensive datasets, paving way advancements machine learning applications engineering. aptitude recognizing patterns relationships complex datasets enhances accuracy predictive models, ultimately elevating reliability predictions. paper delves integration education, serves valuable tool interactive experiences. By generating realistic scenarios instant feedback, contributes development practical skills students alike. impact automation, education establishes it pioneering force shaping future practices.

Язык: Английский

---

Enhancing Sustainable Construction Materials Through the Integration of Generative Artificial Intelligence, such as ChatGPT or Bard

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

This study examines the potential transformation brought about by integration of ChatGPT in advancing cutting-edge sustainable construction materials. Encompassing a diverse range eco-friendly options, investigation spans recycled materials, renewable resources, low-carbon concrete alternatives, energy-efficient water-conserving compounds, green roofing steel and metal, lightweight The utilization materials plays pivotal role construction, reducing environmental impact repurposing discarded resources. Similarly, incorporation aligns with sustainability principles, advocating for use resources that can naturally replenish. Low-carbon alternatives address carbon footprint associated traditional production, providing more environmentally conscious choice research explores contribute to resource conservation diminished energy consumption throughout buildings' lifecycle. Water-conserving are scrutinized their addressing water scarcity concerns, promoting responsible usage processes. Green renowned insulation properties benefits, studied practices. Additionally, metal seeking reduced production usage. Lightweight investigated enhance efficiency diminish transportation-related emissions. An integral aspect this exploration involves evaluating how these collectively achieving Sustainable Development Goals (SDGs). investigates multifaceted ways which align propel globally recognized goals. To guide implementation advancements, proposes comprehensive framework. framework outlines strategies integrating into development processes, leveraging artificial intelligence capabilities efficacy material development. By merging technological innovation practices, aims drive industry toward socially future.

Язык: Английский

---

Artificial Intelligence in Architecture, Engineering and Construction Sector and Building Information Modeling: A Review of Methodologies, Applications and Future Perspectives

Lecture notes on data engineering and communications technologies, Год журнала: 2024, Номер unknown, С. 363 - 372

Опубликована: Янв. 1, 2024

Язык: Английский

---