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Journal articles on the topic 'AI Architecture'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Dharmatanna, Stephanus Wirawan, Elvina Shanggrama Wijaya, and I. Putu Bagus Pramananda. "INTEGRATING AI IN ARCHITECTURAL DESIGN THINKING : AN OPPORTUNITY AND CHALLENGES STUDY IN INDONESIA ARCHITECTURAL EDUCATION." MODUL 25, no. 1 (2025): 55–63. https://doi.org/10.14710/mdl.25.1.2025.55-63.

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The presence of AI has been integrated into many aspects of life, including education and even architecture. AI has offered revolutionary alternatives for analyzing, optimizing, and visualizing an architectural design that can enrich learning experiences for students in architecture studios. Nevertheless, there is still a little research done regarding the potential and threat that AI could conceive, especially in Indonesia. The purpose of this study is to explore the use of AI in architectural education through different stages of the design process. A literature review regarding the use of A

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Saumya Dash. "Strategic framework for ai-driven human resource management architecture." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 202–13. https://doi.org/10.30574/wjarr.2024.24.3.3672.

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Academic literature is currently lacking on the topic of how to acquire, deploy, integrate, and reconfigure AI technologies to achieve HRM goals. This void is filled largely from the viewpoint of technology-driven human resource management. This research fills that knowledge vacuum by proposing a new standard for the architectural framework of human resource management strategies that make use of artificial intelligence. This paper presents an all-encompassing operational architectural framework for AI-powered HRM, drawing on theory of management and AI integration literature. It addresses the

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Saumya, Dash. "Strategic framework for ai-driven human resource management architecture." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 202–13. https://doi.org/10.5281/zenodo.15165811.

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Academic literature is currently lacking on the topic of how to acquire, deploy, integrate, and reconfigure AI technologies to achieve HRM goals. This void is filled largely from the viewpoint of technology-driven human resource management. This research fills that knowledge vacuum by proposing a new standard for the architectural framework of human resource management strategies that make use of artificial intelligence. This paper presents an all-encompassing operational architectural framework for AI-powered HRM, drawing on theory of management and AI integration literature. It addresses the

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Softaoğlu, Hidayet. "THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ARCHITECTURAL REPRESENTATION, WITH A FOCUS ON CULTURAL AND SEMANTIC ASPECTS." New Design Ideas 8, SI (2024): 59–75. http://dx.doi.org/10.62476/ndisi.59.

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The rapid development of artificial intelligence (AI) technology has impacted art, architecture and design. AI has the potential to change architectural education by replacing traditional or CAD drawing tools and techniques with knowledge of terminology and words since they are text-to-image machines. Demonstrating architectural design requires understanding architectural history, theory, materials and techniques to describe it to the robot. Ultimately, AI design involves creating a systematic text structure with comprehensively chosen words and their order to illustrate architecture with mean

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Salingaros, Nikos A. "How Architecture Builds Intelligence: Lessons from AI." Multimodal Technologies and Interaction 9, no. 1 (2024): 2. https://doi.org/10.3390/mti9010002.

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The architecture in the title refers to physical buildings, spaces, and walls. Dominant architectural culture prefers minimalist environments that contradict the information setting needed for the infant brain to develop. Much of world architecture after World War II is therefore unsuitable for raising children. Data collected by technological tools, including those that use AI for processing signals, indicate a basic misfit between cognition and design. Results from the way AI software works in general, together with mobile robotics and neuroscience, back up this conclusion. There exists a cr

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Softaoğlu, Hidayet. "AI and Louis Kahn's Exeter Library: Reimagining Monumentality, Materiality, and Human Experience through Generative Design." Proceedings of the international conference of contemporary affairs in architecture and urbanism-ICCAUA 8, no. 1 (2025): 234–46. https://doi.org/10.38027/iccaua2025en0360.

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This research paper explores a central and timely question: Can artificial intelligence understand architectural meaning? Using Louis Kahn's theory of "served" and "servant" spaces as a philosophical framework, the study investigates how AI interprets architecture beyond formal simulation into the realms of ethics, atmosphere, and symbolic structure. As one of Kahn's most iconic works, the Exeter Library exemplifies monumental form, human-centred space, and material spirituality. By generating visual outputs using MidJourney and evaluating them through five analytical categories—monumentality,

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Tejasvi Nuthalapati. "Designing with AI, Not Around It – Human-Centric Architecture in the Age of Intelligence." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 165–73. https://doi.org/10.32996/jcsts.2025.7.4.19.

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This article explores the evolving role of cloud data architects in developing human-centric AI systems where artificial intelligence enhances rather than replaces human capabilities. As AI becomes increasingly embedded in cloud-native architectures, a paradigm shift is occurring from viewing AI as isolated black boxes toward seeing them as collaborative partners in sociotechnical systems. The article examines fundamental principles of human-centric AI architecture: meaningful human control through tiered autonomy frameworks, transparency by design across multiple levels, and sophisticated fee

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Andi Nur Kalsum Ningki, Nur Hikmah, Asmu Harrama, Fazkya Nur Alishah, and M. Ihsan Ramadhan Ibnu Lukman. "Penerapan AI dalam Presentasi Visualisasi Desain Arsitektur." SEMINAR NASIONAL DIES NATALIS 62 1 (July 30, 2023): 335–40. http://dx.doi.org/10.59562/semnasdies.v1i1.917.

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Modern presentations are now created and delivered differently because of the blending of artificial intelligence (AI) and architecture. The crucial role that visualization plays in architectural presentations has contributed to the use of AI's full potential to create experiences that are interesting, instructive, and compelling for a range of audiences. This study stresses the transformative effects of AI-powered tools on architectural communication and examines the symbiotic interaction between visualization, presentation, AI, and architecture. Architecture has traditionally relied on visua

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Chen, Feiran, Mengran Mai, Xinyi Huang, and Yinghan Li. "Enhancing the Sustainability of AI Technology in Architectural Design: Improving the Matching Accuracy of Chinese-Style Buildings." Sustainability 16, no. 19 (2024): 8414. http://dx.doi.org/10.3390/su16198414.

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This study discusses the application of AI technology in the design of traditional Chinese-style architecture, aiming to enhance AI’s matching accuracy and sustainability. Currently, there are limitations in AI technology in generating details of traditional Chinese-style architecture, so this study proposes a method of fine-tuning AI pre-training models, by extracting samples of traditional architectural style elements, to enhance the trajectory and output accuracy of AI generation. The research method includes constructing AI pre-training models, using DreamBooth and ControlNet tools for per

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Cheedalla, Raghav Sai. "Architectural Strategies for AI-Ready iOS Applications: A Forward-Looking Approach." European Journal of Computer Science and Information Technology 13, no. 48 (2025): 26–32. https://doi.org/10.37745/ejcsit.2013/vol13n482632.

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This article examines the critical importance of designing iOS applications with AI-ready architecture from inception, rather than retrofitting AI capabilities as an afterthought. The article explores various architectural strategies, patterns, and considerations essential for developing robust AI-integrated iOS applications. Through analysis of multiple case studies and industry implementations, the article demonstrates how AI-first architecture significantly improves development efficiency, reduces technical debt, and enhances system maintainability. The article investigates the effectivenes

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Asfour, Omar. "How Artificial Intelligence Could Affect the Future of Architectural Design Education." Resourceedings 4, no. 2 (2024): 01–05. http://dx.doi.org/10.21625/resourceedings.v4i2.1113.

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There is currently a high level of uncertainty about the potential impact of artificial intelligence (AI) on architecture as a profession and consequently on architectural education. Some suggest that schools of architecture should prepare themselves for a dramatic reform that clearly integrates AI technologies into their study plans and pedagogical methods, while others argue that AI can’t fully replace the traditional methods and conventions in architectural education and that more time is needed to understand its potential impact in this regard. In all cases, AI is coming and will be soon o

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Komatina, Dragan, Mirjana Miletić, and Marija Mosurović Ružičić. "Embracing Artificial Intelligence (AI) in Architectural Education: A Step towards Sustainable Practice?" Buildings 14, no. 8 (2024): 2578. http://dx.doi.org/10.3390/buildings14082578.

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This study explores the impact of artificial intelligence (AI) on the behavior and knowledge of final-year architectural students in Serbia and Montenegro. It aims to describe how students approach sustainability in architecture and their use of AI tools within this context. The primary objective is to analyze how AI affects students’ understanding of sustainable architecture indicators and how sustainability challenges and concerns influence AI applications. Using a comparative analysis approach across the two countries, this research employs surveys to test various hypotheses regarding the e

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Neto, Dinarte Spadari. "Innovative Approaches to System Architecture in Modern Engineering Applications." Brazilian Journal of Technology 7, no. 4 (2024): e75448. https://doi.org/10.38152/bjtv7n4-025.

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This paper investigates innovative approaches to system architecture in modern engineering applications, focusing on the evaluation and implementation of various architectural frameworks. Through qualitative analysis, including case studies and comparative analysis, the research highlights the effectiveness of hybrid architectures, which combine elements of traditional models such as microservices and layered frameworks. The study also examines the role of emerging technologies, including artificial intelligence (AI) and the Internet of Things (IoT), in enhancing system performance, scalabilit

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Sponner, Max, Bernd Waschneck, and Akash Kumar. "AI-Driven Performance Modeling for AI Inference Workloads." Electronics 11, no. 15 (2022): 2316. http://dx.doi.org/10.3390/electronics11152316.

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Deep Learning (DL) is moving towards deploying workloads not only in cloud datacenters, but also to the local devices. Although these are mostly limited to inference tasks, it still widens the range of possible target architectures significantly. Additionally, these new targets usually come with drastically reduced computation performance and memory sizes compared to the traditionally used architectures—and put the key optimization focus on the efficiency as they often depend on batteries. To help developers quickly estimate the performance of a neural network during its design phase, performa

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Maharishi, Thula. "Pedagogical Strategies for Architecture against Artificial Intelligence (AI)." Research & Reviews: Journal of Architectural Designing 6, no. 2 (2024): 14–30. https://doi.org/10.5281/zenodo.11516249.

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<em>This paper investigates pedagogical strategies for integrating artificial intelligence (AI) within architectural education. The aim is to enhance students' skills and preparedness for the evolving landscape of architectural practice. By incorporating interdisciplinary AI courses, fostering critical thinking, and promoting creativity through AI tools in design exploration, architectural education can adapt to emerging technological paradigms. Implementing AI-based feedback mechanisms for student projects enhances learning outcomes and prepares students for real-world challenges. Moreover, e

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Sanjiv Kumar Bhagat. "Enterprise Architecture in the Age of Generative AI: Adapting ERP Systems for Next-Generation Automation." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 370–80. https://doi.org/10.32628/cseit25112368.

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Enterprise architecture is experiencing a profound transformation through the integration of generative artificial intelligence into Enterprise Resource Planning (ERP) systems, fundamentally reshaping how organizations approach automation, decision-making, and strategic planning. This article examines the architectural implications of incorporating AI capabilities into ERP frameworks, focusing on three key dimensions: predictive analytics for enhanced forecasting and risk management, intelligent process automation for operational efficiency, and strategic decision support through natural langu

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Gharaei, Ayda, Elnaz Shirvanisaadatabadi, and Sima Salahshour. "Viewpoints of the Architects on Using Artificial Intelligence in Green Architectural Design: A Case Study in the City of Kerman, Iran." Journal of Sustainable Development 18, no. 3 (2025): 46. https://doi.org/10.5539/jsd.v18n3p46.

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In architecture, AI can perform many tasks during the architectural design process, so it is necessary to understand this technology and its advantages and disadvantages, especially for those concerned with environmental and sustainable aspects. There are gaps and ambiguities in relation to the effect of using AI in architecture, especially when it comes to the principles of the green architecture, particularly in Iran. Therefore, the current study was formulated to determine the possibility of AI in supporting green architecture design, to determine the possibility of AI in achieving the prin

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Avinash Terala. "Cloud-native and AI-driven architectural frameworks for modern insurance enterprises." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 177–84. https://doi.org/10.30574/wjaets.2025.15.2.0537.

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This article examines the transformative impact of cloud-native and AI-driven architectural frameworks on modern insurance enterprises. The article explores how the convergence of microservice architectures, artificial intelligence, and cloud computing is reshaping the technology landscape for insurers faced with increasing demands for agility, scalability, and real-time processing capabilities. The article investigates emerging architectural patterns including Event-Driven Architecture, AI-powered predictive frameworks, and data Lakehouse solutions that enable insurers to transition from lega

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Palakka, Muh. Risqy Mutawakkil, Muhammad Arbaim Asridal, Muhammad Taufiq Urinta, and Muhammad Fildam Anugrah. "Peran Kecerdasan Buatan dalam Efisiensi Desain Bangunan." SEMINAR NASIONAL DIES NATALIS 62 1 (July 29, 2023): 152–57. http://dx.doi.org/10.59562/semnasdies.v1i1.755.

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This research discusses the role of artificial intelligence (AI) in increasing the efficiency of architectural design. The use of AI in architecture has had a positive impact in terms of optimizing the creative process, fast data analysis and improving the overall quality of the design. This study analyzes various AI methods used in architectural design, as well as their results and impact on speed and accuracy in producing efficient designs. In conclusion, AI has great potential to change the paradigm in industrial architecture and bring significant efficiencies

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Alva, Lingareddy. "AI-Driven Data Mesh with Generative AI for Enterprise Analytics." European Journal of Computer Science and Information Technology 13, no. 37 (2025): 97–108. https://doi.org/10.37745/ejcsit.2013/vol13n3797108.

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This article explores the transformative integration of generative AI capabilities with Data Mesh architecture to revolutionize enterprise analytics. Beginning with examining traditional data architectures' limitations, the discussion highlights how centralized proceeds towards creating bottlenecks that impede innovation and time-to-insight. The Data Mesh paradigm is presented as a fundamental shift that decentralizes data ownership while maintaining federated governance. The integration of generative AI within this framework enables natural language interfaces, synthetic data generation, auto

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Researcher. "BLOCKCHAIN AND SMART CONTRACTS IN RISK MANAGEMENT: REVOLUTIONIZING SETTLEMENT PROCESSES AND COUNTERPARTY RISK MITIGATION." International Journal of Financial Engineering and Risk Management (IJFERM) 2, no. 1 (2025): 1–6. https://doi.org/10.5281/zenodo.14724686.

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This article introduces a novel AI-driven architectural framework that integrates microservices intelligence with real-time predictive analytics and self-healing mechanisms, offering a systematic approach to achieving resilience and scalability in enterprise systems. This article examines the transformative impact of Artificial Intelligence on enterprise software architecture, highlighting the shift from traditional monolithic systems to intelligent, adaptive platforms. The article explores key drivers of AI-powered architectural innovation, including data-centric architecture, microservices i

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Naimil, Navnit Gadani. "The Future of Software Development: Integrating AI and Machine Learning into the SDLC." International Journal of Engineering and Management Research 14, no. 1 (2024): 308–15. https://doi.org/10.5281/zenodo.13756677.

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The integration of AI and ML into the SDLC represents a groundbreaking advancement in software engineering. This paper explores the transformative effects of AI-driven automation on key stages of the SDLC, including code generation, testing, and deployment. It also examines architectural frameworks that support the effective integration of AI technologies, such as Microservices Architecture, Event-Driven Architecture, and Hybrid Cloud Architecture. By analyzing quantitative improvements and discussing future research directions, the paper provides a comprehensive overview of how AI and ML are

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Sukkar, Ahmad W., Mohamed W. Fareed, Moohammed Wasim Yahia, Emad Mushtaha, and Sami Luigi De Giosa. "Artificial Intelligence Islamic Architecture (AIIA): What Is Islamic Architecture in the Age of Artificial Intelligence?" Buildings 14, no. 3 (2024): 781. http://dx.doi.org/10.3390/buildings14030781.

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Revisiting the long-debated question: “What is Islamic architecture?”, this research article aims to explore the identity of “Islamic architecture (IA)” in the context of artificial intelligence (AI) as well as the novel opportunities and cultural challenges associated with applying AI techniques, such as the machine learning of Midjourney in the context of IA. It investigates the impact factors of AI technologies on the understanding and interpretation of traditional Islamic architectural principles, especially architectural design processes. This article employs a quantitative research metho

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WICAKSANA, GDE BAGUS ANDHIKA, and IDA BAGUS GEDE PARAMA PUTRA. "ANALISIS EFEKTIFITAS VISUALISASI PERMODELAN DESAIN ARSITEKTUR BERBASIS KECERDASAN BUATAN (AI)." GANEC SWARA 18, no. 4 (2024): 2274. https://doi.org/10.35327/gara.v18i4.1178.

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This research focuses on the iteration of architectural modeling using artificial intelligence (AI) as a solution to generate visualization concepts in the architectural iteration process. It examines the development of AI in architecture and highlights AI's position in current architectural practice. AI has revolutionized the way architectural designs are developed, presented, and interpreted. With its ability to process complex data, AI accelerates the design process, enables the exploration of innovative solutions, and enhances understanding of projects before construction begins. AI is use

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Choi, Dongkyu. "On Using Generative Models in a Cognitive Architecture for Embodied Agents." Proceedings of the AAAI Symposium Series 2, no. 1 (2024): 253–55. http://dx.doi.org/10.1609/aaaiss.v2i1.27684.

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Recent popularity of generative models brought research on a variety of applications. We take a more architectural point of view, where we discuss ways in which generative AI techniques and cognitive architectures can benefit each other for a more capable overall integrated system. We use a cognitive architecture, ICARUS, as the framework for our discussion, but most of the discussed points should carry over to other architectures as well.

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Vergunova, N. "ARTIFICIAL INTELLIGENCE TOOLS IN ARCHITECTURE." Municipal economy of cities 4, no. 185 (2024): 69–74. http://dx.doi.org/10.33042/2522-1809-2024-4-185-69-74.

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Lately, architects have begun to favour a more result-oriented way of working based on artificial intelligence (AI) and its use for automation and software applications operation that support work with design data. The research aims to identify and systematise data on computer tools using artificial intelligence algorithms and the prospects for its development in architectural activities. The use of AI algorithms in architectural design is characteristic of all its stages, from the conceptual phase and basic design levels to detailing, development of design documentation, and future implementa

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Obaid, Maryam, and Osama Omar. "Artificial Intelligence-Enhanced Innovation: Blending Contemporary Aesthetics with Islamic Heritage." Smart Design Policies 2, no. 1 (2025): 31–60. https://doi.org/10.38027/smart.v2n1-3.

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Artificial intelligence has transformed various disciplines, including architecture. This study examines the potential of three generative artificial intelligence tools — Midjourney, Leonardo AI, and Prome AI — in representing modern Islamic architectural designs that draw inspiration from traditional principles. The contribution of this study is based on both quantitative and qualitative approaches. The quantitative methodology was conducted through two surveys that assessed public awareness and perceptions of Islamic architecture and evaluated AI-generated designs in terms of architectural a

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Chaillou, Stanislas. "Latent architecture: a semanticist’s perspective." Architectural Research Quarterly 24, no. 4 (2020): 309–13. http://dx.doi.org/10.1017/s1359135521000087.

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Artificial Intelligence (AI) is an emerging reality for the architectural discipline. Our work over the past three years has been to demonstrate AI’s relevance for architecture. Among many aspects, AI fundamentally opens up access to a new approach to formal experiments through the concept of ‘latent space’. We believe this concept represents a radical improvement in generating architectural forms, and comes at a time when cities are pressurised by the burning challenges they face: ecology, urban densification, the rapid mutation of modes of living, etc. In return, architecture is charged to c

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Cengizoglu, Fulya Pelin. "Bibliometric Analysis on Artificial Intelligence Aided Architectural Design." Journal of Design Studio 6, no. 2 (2024): 231–45. https://doi.org/10.46474/jds.1525949.

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Technological advancements have created new dimensions in various fields, including architecture. The widespread use of information technology has particularly transformed architectural designs. In architectural design processes, methods and tools have diversified beyond traditional approaches, incorporating computer-aided programs, computational functions with plugins, and even contemporary artificial intelligence (AI)-supported software and applications tailored to specific needs. It is inevitable that AI-supported designs will increasingly feature in the future of architecture. The purpose

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Ahmad Nur Maulana Said, Diyah Daulah Auliyah Badar, Nurul Cahyani Hamzah, Muhammad Jamil Syah, and Muh. Hamka Al Farizi. "IMPLEMENTASI ARTIFICIAL INTELLIGENCE DALAM DUNIA ARSITEKTUR DAN PENGARUHNYA TERHADAP PROFESI ARSITEK." SEMINAR NASIONAL DIES NATALIS 62 1 (July 31, 2023): 620–26. http://dx.doi.org/10.59562/semnasdies.v1i1.1117.

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This research aims to investigate the impact of artificial intelligence (AI) on the future of architecture and architects. Artificial intelligence has become an integral part of emerging technological developments, and is increasingly being utilised in various fields, including architecture. This research will examine how the application of AI in architecture affects the design process, design solutions, and the role of architects in future architectural practice. Through literature review and data analysis, this study will present information on the benefits and challenges of AI adoption in a

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Alforova, Zoya, Oksana Lahoda, Vladyslava Hurdina, Liudmyla Lytvyniuk, and Rostyslav Kupchyk. "Analysis of modern approaches to the application of 3D technologies in architecture and design." Revista Amazonia Investiga 11, no. 52 (2022): 105–14. http://dx.doi.org/10.34069/ai/2022.52.04.11.

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Relevance. The dynamic development of modern architecture and design implies continuous improvement of processes aimed at optimizing not only the design, but also the construction of various objects directly. Today, the most effective method of this optimization is the active use of advanced 3D technologies that allow you to bring visual, structural, engineering and technical solutions to a qualitatively new level. The purpose of the article is to analyze modern approaches to the application of 3D technologies in architecture and design. The objectives of the article are to analyze key trends,

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Thula, Maharishi. "Pedagogical Strategies for Architecture against Artificial Intelligence (AI)." Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA 7, no. 1 (2024): 248–60. http://dx.doi.org/10.38027/iccaua2024in0301.

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Artificial intelligence(AI) is a sensation that currently stimuluses every phase of life. AI applications already started totransform the business methods in different disciplines. The complex nature of the practice makes architecture a importantarea of research and experiment for AI claims and applications. This paper presents a study that evaluates the methods ofAI in architecture from an educational standpoint. It includes existing executions and probable future approaches fromdiverse domains and areas of theory and practice that might be useful for the development of architectural educatio

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Fareed, Mohamed W., Ali Bou Nassif, and Eslam Nofal. "Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture." Heritage 7, no. 3 (2024): 1727–53. http://dx.doi.org/10.3390/heritage7030081.

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The rapid integration of Artificial Intelligence (AI) tools, specifically text-to-image generators, across various domains has had a profound impact on numerous fields. Despite this, the potential applications of AI image generators in architectural education, particularly in teaching the history of architecture, remain underexplored. This research aims to uncover the possibilities of utilizing AI image generators, with a specific focus on the capabilities of Leonardo AI, to enhance communication and engagement. This study employed an experimental methodology to investigate how the integration

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Blinova, M., and M. Molodcha. "USE OF ARTIFICIAL INTELLIGENCE IN EDUCATIONAL DESIGN FOR ARCHITECTURE STUDENTS." Municipal economy of cities 3, no. 184 (2024): 53–58. http://dx.doi.org/10.33042/2522-1809-2024-3-184-53-58.

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One of the promising areas of artificial intelligence (AI) use is architectural design. Most of the world-renowned architectural bureaus are experimenting and exploring the use of AI in their daily work. It is necessary to integrate the ability to apply such tools wisely into the education process for architecture students to be competitive and participate in projects involving AI successfully. The growing interest in AI among students and modern architectural educational institutions and bureaus determines the relevance of this research. The article discusses the specificity of the use of AI

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Papadhopulli, Fulvio. "Decoding the 'Artificial' Epoch: “Embracing Speculative Architectural-Design Methodologies in the era of AI by addressing the Computational Continuum”." Venturing into the Age of AI: Insights and Perspectives, no. 27 (October 1, 2023): 42–53. http://dx.doi.org/10.37199/f40002707.

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In the contemporary epoch marked by paradigm shifts, as articulated by Saggio in "The IT Revolution in Architecture" (Saggio, 2013), our world is enmeshed in a tapestry of evolving architectural ideologies. The current correlative relationship between those, are blurred superimpositions of influential waves which define a multi-dimensional complexity which resembles a simplified fragrance of the quantum state. The integration of AI into architecture marks a seismic shift, challenging the very narrative that has historically defined architectural discourse. As AI methodologies continue to unfol

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Tellios, Anastasios, Panagiota Koulali, and Kalliopi Valsamidou. "Designing Tomorrow: AI and the Future of Architectural Design Process." Venturing into the Age of AI: Insights and Perspectives, no. 27 (October 1, 2023): 22–25. http://dx.doi.org/10.37199/f40002703.

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This essay explores the transformative role of Artificial Intelligence (AI) in the field of architecture, focusing on the impact on design innovation, production processes, as well as the ethical implications arising from inherent biases within these technologies. As AI becomes increasingly integrated into architectural practices, it offers the potential to revolutionize the discipline by enhancing efficiency, creativity, and sustainability. This investigation delves into the history and evolution of AI in architecture, tracing their journey from early computational design experiments to their

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Golkarian, Ghadir, and Shabnam Golkarian. "Identity and physical elements in the formation of architecture of traditional bazaars (Case study:Tabriz-covered Bazaar & Istanbul Kapali Charshi)." Revista Amazonia Investiga 12, no. 67 (2023): 383–94. http://dx.doi.org/10.34069/ai/2023.67.07.33.

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Bazaars have a special meaning in the countries of the Middle East region, especially Iran and Turkey, which have a deep-rooted history in bazaar construction. No bazaar has been built without a purpose or without considering its performance. Bazaars form the backbone of cities. In addition, the bazaars mentioned in the study, the architecture of the region, reflects the dynamic and progressive internal features called identity. Due to the architectural features of the historical bazaars and their strategic geographical location, they left effective traces on the east-west trade route on the S

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Çelik, Tuğçe. "AI-Driven Production in Modular Architecture: An Examination of Design Processes and Methods." Computer and Decision Making: An International Journal 1 (November 3, 2024): 320–39. http://dx.doi.org/10.59543/comdem.v1i.10825.

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This study explores the incorporation of AI-driven production technologies within modular architecture, with an emphasis on optimizing design processes and facilitating practical application. By leveraging text-to-image technology via the Runway AI platform, a range of geometric moduls -including rhombic dodecahedra, cubes, hexagonal prisms, truncated octahedra, and triangular prisms-were utilized as prompts to generate architectural designs. The generated designs were subsequently assessed against established modular architecture criteria, with particular attention given to their structural i

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Mirea, Corina-Marina, Răzvan Bologa, Andrei Toma, Antonio Clim, Dimitrie-Daniel Plăcintă, and Andrei Bobocea. "Transforming Learning with Generative AI: From Student Perceptions to the Design of an Educational Solution." Applied Sciences 15, no. 10 (2025): 5785. https://doi.org/10.3390/app15105785.

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Education is another field which generative artificial intelligence has made its way into, intervening in students’ learning processes. This article explores students’ perspectives on the use of generative AI tools, specifically ChatGPT-3.5 (free version) and ChatGPT-4 (with a subscription). The results of the survey revealed a correlation between the use of ChatGPT and the perception of grade improvement by students. In addition, this article proposes an architecture for an adaptive learning system based on generative artificial intelligence (AI). To develop the architectural proposal, we inc

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Srikanth Dandolu. "Cloud-Native Architecture for AI Data Platforms: A Snowflake Implementation Case Study." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 475–85. https://doi.org/10.30574/wjaets.2025.15.3.0931.

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This architectural analysis presents a comprehensive implementation of a cloud-native Snowflake-based data platform optimized for enterprise AI workloads. The design decisions, scalability strategies, and performance optimization techniques address the unique challenges of supporting machine learning pipelines in large-scale enterprise environments. The architecture leverages dynamic resource allocation, advanced partitioning strategies, and zero-copy cloning to enable efficient AI experimentation while maintaining governance and security. The multi-layer design approach effectively separates

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Srinivasa Rao Kurakula. "The Role of AI in Transforming Enterprise Systems Architecture for Financial Services Modernization." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 181–86. https://doi.org/10.32996/jcsts.2025.7.4.21.

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This article explores the transformative impact of artificial intelligence on enterprise systems architecture within the financial services industry. Financial institutions are leveraging AI technologies to address complex challenges, including regulatory compliance, competitive pressure from fintech disruptors, and evolving customer expectations. The article examines three key domains where AI is revolutionizing financial services: core banking systems optimization, fraud detection enhancement, and customer experience improvement. Through analysis of architectural considerations, implementati

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Pasupuleti, Vikram, Chandra Shikhi Kodete, Bharadwaj Thuraka, and Varun Varma Sangaraju. "Impact of AI on Architecture: An Exploratory Thematic Analysis." African Journal of Advances in Science and Technology Research 16, no. 1 (2024): 117–30. http://dx.doi.org/10.62154/ajastr.2024.016.010453.

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The huge impact of artificial intelligence (AI) on various spheres is commonly attested in the literature. This study is informed by the dire need for more research on the increased adoption of AI and awareness of it for architectural activities. It is aimed at exploring the impact of AI on architecture, with a view to drawing evidence from extant studies to determine the extent of its adoption and positive impact on architecture. Literature review process, interpretive devices, and content and thematic analyses are employed to show scholarly evidence for its arguments on the thematic concern.

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Beyaz, Çağla, and Çilen Erçin. "Sustainability in the modern architecture of Nicosia: A retrospective view." Revista Amazonia Investiga 12, no. 69 (2023): 9–26. http://dx.doi.org/10.34069/ai/2023.69.09.1.

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Architectural approaches that developed and progressed in the modern period were founded on the criteria of modern architecture. It is possible to see the distinctive features of the modern period from the 1920s to the 1970s on the island of Cyprus, which has been under the influence of many cultures for many years. This study's main goal is to investigate the architectural criteria for residences constructed throughout the modern period in the Nicosia region in relation to sustainability parameters and modern architectural approaches. The methodology of the study consists of theoretical, anal

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Ulfaizah Sahril Nurfadhilah and Wahyu Saputra. "Architecture Students' Perception of AI in Academic Project Resolution." Jurnal Teknik 22, no. 2 (2024): 45–60. https://doi.org/10.37031/jt.v22i1.530.

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This study aims to examine architecture students' perceptions of the role of artificial intelligence (AI) in supporting the completion of academic tasks, ranging from text-based assignments to design processes. Data were collected through an online survey using Google Forms with semi-open and closed-ended questions, involving 289 undergraduate architecture students from six universities in Sulawesi Island. Data analysis was conducted using descriptive statistics and Chi-Square tests with SPSS version 26. The findings indicate that AI is well-received by architecture students, despite their lim

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Gammal, Yasser. "The “Cognitive” Architectural Design Process and Its Problem with Recent Artificial Intelligence Applications." Engineering and Applied Sciences 9, no. 5 (2024): 83–105. http://dx.doi.org/10.11648/j.eas.20240905.11.

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The connection between cognitive science and the architectural design process reveals significant gaps that limit the full potential of creating effective built environments. A key issue is the insufficient integration of cognitive principles into design workflows. Architects frequently rely on traditional methods and aesthetic considerations without fully understanding how spatial configurations influence human cognition and behavior. While recent AI applications in architecture, such as Computer-Aided Drafting (CAD), Building Information Modeling (BIM), and interactive web and VR presentatio

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Sushil Prabhu Prabhakaran. "Integration Patterns in Unified AI and Cloud Platforms: A Systematic Review of Process Automation Technologies." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 1932–40. https://doi.org/10.32628/cseit241061229.

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This article comprehensively analyzes unified AI and cloud platforms, examining their role in transforming process automation and decision systems across industries. The article investigates the architectural frameworks and integration patterns that enable the convergence of AI tools, machine learning operations, and workflow orchestration within cloud-native environments. The article explores key innovations, including federated AI implementations, real-time data processing architectures, and multi-cloud integration patterns. It provides insights into their practical applications across finan

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Khatri, Savi. "Prompt-Layered Architecture: A New Stack for AI-First Product Design." International Journal of Scientific Research and Management (IJSRM) 12, no. 09 (2024): 1487–98. https://doi.org/10.18535/ijsrm/v12i09.ec09.

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With the advancement of large language models powering next-generation applications, there is an increasing demand for architectural frameworks that treat prompts as modular, orchestratable, and extendible parts of a software system. The traditional methods of AI integration have treated prompt engineering as some kind of ad hoc or application-specific task with no connection to systematic design principles or software architecture standards. The paper introduces the Prompt-Layered Architecture (PLA), a new architectural style where prompts have been elevated into first-class citizens of the s

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Betha, Ramesh. "The Convergence of Data Mesh and Generative AI: Creating Self-Service Data Products with Embedded Intelligence." International Journal of Multidisciplinary Research and Growth Evaluation. 5, no. 1 (2024): 1590–94. https://doi.org/10.54660/.ijmrge.2024.5.1.1590-1594.

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The rapid evolution of data-driven decision-making has necessitated the development of architectures that can support real-time decision intelligence. This paper explores the convergence of two transformative paradigms—Data Mesh and Generative AI—to create self-service data products with embedded intelligence. By integrating the decentralized, domain-oriented architecture of Data Mesh with the generative capabilities of AI, organizations can achieve a new level of agility and intelligence in their decision-making processes. This paper delves into the architectural principles, challenges, and o

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K, Karthika, Tejashree K, Naveen Rajan M., and Namita R. "Towards Strong AI with Analog Neural Chips." International Journal of Innovative Research in Advanced Engineering 10, no. 06 (2023): 394–99. http://dx.doi.org/10.26562/ijirae.2023.v1006.28.

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Applied AI chips with neural networks fail to capture and scale different forms of human intelligence. In this study, the definition of a strong AI system in hardware and architecture for building neuro memristive strong AI chips is proposed. The architecture unit consists of loop and hoop networks that are built on recurrent and feed forward information propagation concepts. Applying the principle that ’every brain is different’; we build a strong network that can take different structural and functional forms. The strong networks are building using hybrids of loop and hoop networks having ge

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Narváez, Daniel, Nicolas Battaglia, Alejandro Fernández, and Gustavo Rossi. "Designing Microservices Using AI: A Systematic Literature Review." Software 4, no. 1 (2025): 6. https://doi.org/10.3390/software4010006.

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Microservices architecture has emerged as a dominant approach for developing scalable and modular software systems, driven by the need for agility and independent deployability. However, designing these architectures poses significant challenges, particularly in service decomposition, inter-service communication, and maintaining data consistency. To address these issues, artificial intelligence (AI) techniques, such as machine learning (ML) and natural language processing (NLP), have been applied with increasing frequency to automate and enhance the design process. This systematic literature r

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