Metaverse as a cutting-edge platform for attaining Sustainable Development Goals (SDGs)

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The Metaverse, an immersive virtual reality realm where users engage with computer-generated environments, is swiftly emerging as a transformative platform poised to address and propel Sustainable Development Goals (SDGs). This research delves into the intersections between Metaverse SDGs, shedding light on how this cutting-edge technology can be harnessed sustainable development across diverse sectors. Commencing comprehensive overview, paper details evolution, key components, capabilities of Metaverse. Underscoring its dynamic interactive essence, emphasizes potential revolutionize conventional approaches education, healthcare, environmental conservation, economic empowerment. A thorough analysis unveils Metaverse's role in democratizing education by transcending geographical boundaries providing inclusive learning environments. nature facilitates experiential learning, enhancing accessibility, fostering global collaboration fulfill SDG 4 (Quality Education). Additionally, explores contribute healthcare solutions through medical consultations, training professionals, simulating scenarios. innovative approach holds disparities, advance 3 (Good Health Well-being), improve overall public health. Environmental sustainability takes center stage serves for raising awareness about climate change, promoting practices, eco-friendly solutions. aligns 13 (Climate Action) 15 (Life Land), emphasizing capacity inspire real-world stewardship. Economic empowerment addressed discussions economies within highlighting opportunities entrepreneurship, job creation, financial inclusion. exploration corresponds 1 (No Poverty), 8 (Decent Work Growth), 10 (Reduced Inequality).

Language: Английский

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ChatGPT-Supported Education in Primary Schools: The Potential of ChatGPT for Sustainable Practices

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9855 - 9855

Published: Nov. 12, 2024

This study aims to evaluate the potential of using ChatGPT at primary school level from teachers’ perspective within a sustainability framework. The research was conducted as qualitative case involving 40 teachers in Turkey during 2023–2024 academic year, all whom had no prior experience with ChatGPT. Data collection tools included semi-structured interview forms and researcher diaries developed by researchers. data obtained were analysed content analysis. findings indicate that most believe is suitable for education can contribute Sustainable Development Goal (SDG) 4. Additionally, noted enriches teaching process user-friendly. These suggest contributions SDG 4.1 4.2. However, concerns raised regarding ChatGPT’s provide false information, which may negatively impact 4.7. also identified particularly mathematics, Turkish, English courses. study’s main contribution it shows how help sustainable practices getting more involved meeting specific curriculum needs. gives us useful information incorporating AI into line It recommended training programs about similar AI-supported be organised parents.

Language: Английский

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Leading-edge Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet of Things (IoT) technologies for enhanced wastewater treatment systems

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The escalating global demand for clean water mandates the development of inventive approaches to wastewater treatment systems. This paper investigates incorporation cutting-edge technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet Things (IoT), revolutionize elevate procedures. collaborative application these technologies presents a promising avenue optimizing efficiency, sustainability, overall performance within infrastructure. play pivotal roles in predictive modeling decision-making processes plants. These facilitate real-time monitoring quality parameters, enabling dynamic adjustments protocols based on data-driven insights. adaptive nature AI ML algorithms enhances system resilience, diminishes operational costs, ensures adherence rigorous environmental standards. integration Blockchain technology introduces decentralized secure framework managing data By capitalizing inherent transparency immutability blockchain, stakeholders can trace complete lifecycle treatment, from source discharge. not only promotes accountability but also nurtures trust among regulators, utilities, public, fostering more transparent sustainable management ecosystem. Moreover, contributes establishment connected responsive Sensor networks embedded throughout process enable collection, facilitating remote control. seamless communication between IoT devices prompt identification anomalies potential failures, allowing timely intervention averting hazards. research underscores emphasizes significance their address evolving challenges contribute future.

Language: Английский

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Explainable Artificial Intelligence (XAI) in healthcare: Interpretable Models for Clinical Decision Support

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

In healthcare, the incorporation of Artificial Intelligence (AI) plays a pivotal role in enhancing diagnostic precision and guiding treatment decisions. Nevertheless, lack transparency conventional AI models poses challenges gaining trust clinicians comprehending rationale behind their This research paper explores Explainable (XAI) its application with specific focus on transparent designed for clinical decision support various medical disciplines. The initiates by underscoring crucial requirement interpretability systems within healthcare realm. Recognizing diverse nature specialties, study investigates tailored XAI approaches to meet distinctive needs areas such as radiology, pathology, cardiology, oncology. Through thorough review existing literature analysis, identifies key obstacles prospects implementing across varied contexts. field cornerstone imaging, proves beneficial elucidating decision-making procedures image analysis algorithms. probes into impact interpretable radiological diagnoses, examining how can seamlessly integrate AI-generated insights workflows. Within where is utmost importance, clarifies enhance histopathological assessments. By demystifying intricacies AI-driven pathology models, aims empower pathologists leverage these tools more accurate diagnoses. Cardiology, characterized complex interplay physiological parameters, benefits from offering intelligible explanations cardiovascular risk predictions recommendations. delves highlighting potential systems. Moreover, oncology, decisions hinge precise identification characterization tumors, aids unraveling intricate machine learning models. This, turn, fosters among oncologists utilizing personalized strategies.

Language: Английский

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Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in building and construction industry: applications, framework, challenges, and future scope

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The infusion of generative artificial intelligence (AI), as exemplified by models such ChatGPT and Bard is proving to be a revolutionary catalyst within the building construction sector. This exploration delves into myriad applications, establishes conceptual framework, confronts challenges, delineates prospective trajectory harnessing AI across diverse stages lifecycle. In domain project management scheduling, contribute optimal resource allocation, task sequencing, timeline optimization, thereby elevating overall efficiency delivery. Design optimization equally pivotal, assists architects engineers in crafting innovative designs that concurrently adhere functional aesthetic criteria. predictive prowess fortifies risk management, furnishing stakeholders with insights potential risks effective mitigation strategies. Meanwhile, realm cost estimation budgeting, enhanced accuracy speed offered optimize financial planning allocation. Supply chain benefits from streamlined processes driven insights, ensuring timely cost-effective procurement materials. Generative linchpin quality control, identifying defects deviations standards enhance quality. Real-time data analysis strengthens site monitoring safety protocols, enabling proactive secure working environment. Collaboration communication teams are augmented AI, facilitating seamless information exchange decision-making processes. Predictive maintenance asset undergo transformation, algorithms predicting equipment failures optimizing schedules. Furthermore, integration tackles imperative energy sustainability Models like bard significantly for conservation sustainable practices. paper also explores incorporation reality (AR), virtual (VR), Building Information Modeling (BIM). Ethical concerns, privacy, robust cybersecurity measures necessitate careful consideration. As industry embraces these innovations, substantial improvements efficiency, sustainability, outcomes poised unfold.

Language: Английский

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Leading-edge wearable technologies in enhancing personalized safety on construction sites: a review

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The construction sector is characterized by dynamic and perilous conditions, demanding innovative strategies to bolster worker safety. This research delves into the incorporation of cutting-edge wearable technologies as a proactive measure tailor safety protocols for sites. Focused on risk mitigation overall enhancement, this investigation assesses efficacy various advanced devices. study commences scrutinizing role intelligent helmets equipped with augmented reality (AR) technology. These furnish real-time data about site, delivering critical information workers, including potential hazards, emergency exits, equipment statuses. integration AR heightens situational awareness, empowering workers make well-informed decisions respond promptly changing conditions. Beyond smart helmets, explores implementation sensors designed monitor physiological parameters workers. Capable measuring vital signs such heart rate, body temperature, fatigue levels, these enable continuous assessment health. generated can be analyzed identify patterns trends, facilitating preventive measures address health-related risks. Additionally, adoption exoskeletons devices enhance human capabilities diminish musculoskeletal injuries. provide ergonomic support, particularly during tasks involving heavy lifting or repetitive motions. By assisting in maintaining proper posture reducing physical strain, contribute long-term injury prevention improved well-being. Integration artificial intelligence (AI) algorithms enhances sensors, providing nuanced understanding individual health personalized recommendations. presents multifaceted approach safety, addressing both environmental factors. As industry continues evolve, holds not only outcomes but also redefine future work hazardous environments.

Language: Английский

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Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges

International Journal of Architecture and Planning, Journal Year: 2023, Volume and Issue: 3(2), P. 92 - 124

Published: Sept. 5, 2023

This research paper investigates the integration of advanced generative artificial intelligence (AI) models, such as ChatGPT, Bard, and similar architectures, in architectural design engineering.The comprehensive study explores various aspects, including applications, frameworks, challenges, prospective developments context engineering.In design, transformative impact on Architectural Theory, highlighting how AI fosters creativity innovation thinking.The Design Process is scrutinized, showcasing models streamline ideation, iteration, collaboration among teams.Furthermore, examines influence Interior Design, Urban Planning, considers nuanced aspects Cultural Social factors, elucidating these technologies contribute to inclusive context-sensitive practices.In engineering, assesses Structural Engineering, demonstrating its potential optimize innovate structural analysis designs for enhanced safety efficiency.It applications Building Systems Construction Management, illustrating can project workflows resource allocation.The compliance with Codes Regulations analyzed, emphasizing error reduction adherence standards.Additionally, probes into Materials Technology, advancements material selection construction methodologies.The also role promoting Sustainability Environmental energy efficiency, reduce environmental impact, enhance overall sustainability.Finally, outlines challenges future directions development fully harness shaping engineering.

Language: Английский

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Boosting Learning Through AI in STEM for Socioeconomic Development in Emerging Economies

Advances in educational technologies and instructional design book series, Journal Year: 2025, Volume and Issue: unknown, P. 499 - 528

Published: Jan. 22, 2025

This chapter explores the transformative potential of artificial intelligence (AI) in STEM education, focusing on its role as a driver socioeconomic development emerging economies. By integrating AI with disciplines, educational processes can be optimized, personalized, and made more inclusive, thereby reducing gaps preparing future generations to face global challenges. From psychological perspective, examines how enhances learning memory, contributing deeper cognitive engagement. It also addresses challenges implementation, including technological, economic, ethical barriers, highlighting importance public policies that promote equitable sustainable growth, opportunities R&D projects, economies requires further exploration AI's innovate fields broader implications for development.

Language: Английский

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Mathematical Foundations and Applications of Generative AI Models

Published: Jan. 1, 2025

Language: Английский

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Evaluating the Effectiveness of AI Tools in Mathematical Modelling of Various Life Phenomena: A Proposed Approach

Iraqi journal of data science., Journal Year: 2025, Volume and Issue: 2(1), P. 16 - 25

Published: Jan. 30, 2025

Advances in artificial intelligence (AI) are transforming the landscape of mathematical modelling areas including physics, biology, and chemistry. Research suggests that ChatGPT, Gemini, other AI tools can change way researchers use simulation modeling for complex phenomena by helping to produce models faster with less computational complexity real-time insights. Here, we introduce a novel framework building life sciences using applications disease dynamics ecological systems. The approach integrates into process hybrid model combines initial formulations based on AI-assisted discussions refinements expert validation AI-generated output. To give an example, if interested outbreaks, platforms such as ChatGPT or Gemini instantly build simple susceptible-infectious-recovered (SIR) model. This also helps high dataset processing making parameter suggestions data, which turn dynamic adaptation changing data (e.g. transmission rates intervention strategies). Likewise, modelling, aid generation predator-prey consider these interactions, habitat fragmentation reserved zones then suggest sensitivities observed trends. These abilities make future AI-based especially exciting, they will further decrease time is traditionally spent manually defining allow them focus result interpretation strategic decision-making. With rapidly advances tools, incorporating some new capabilities developments procedure may unprecedented improvements predictive performance, flexibility interdisciplinary investigations. Further research real-world efforts this needed determine improve cost-effectiveness affordability many fields science.

Language: Английский

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