Using AI in construction, with technologies like machine learning and natural language processing, could be key to solving the industry’s urgent challenges.
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming many industry practices, construction largely lags in adoption. Recently, the emergence and rapid adoption of advanced large language models (LLMs) like OpenAI's GPT, Google's PaLM, an...
However, it is clear that there exists a lot of grey areas in the research trend of AI applications, future opportunities and barriers to adoption in the construction industry. For the purpose of addressing the identified gap, it is important to answer the following research questions: (1) ...
The main challenges hindering the implementation of anomaly detection in reality can be summarized as follows. 2.4.1 Balance between Recall and Precision During the construction of anomaly detection models, the choice of the decision threshold or the decision boundary is an inevitable process. It is...
Furthermore, it provides an overview of the current landscape of elderly care and elder care institutions, offering scientific data and insights to propel further research on AI development and system construction. Through an analysis of the existing research status, the study identifies prevalent ...
Artificial intelligence (AI) is a multi-disciplinary approach that has achieved great success in recent years especially in the area of machine learning (ML) and deep learning (DL) [1]. We are living in a technological world that generates huge amount of data every year in almost every field...
The landscape of data and AI documentation approaches in the European policy context Article Open access 28 October 2023 Measuring Ethics in AI with AI: A Methodology and Dataset Construction Chapter © 2022 Artificial Intelligence for Data Science in Theory and Practice Book © 2022 Exp...
“A hammer can be used by a construction expert to build a house, or it can be misused as a weapon by anyone. It is our job as a society to ensure that AI is a tool used effectively by experts who know how to add value with it — rather than misuse to cause har...
In the evolving landscape of financial services, Artificial Intelligence (AI) has emerged as a transformative force, driving innovation and efficiency. However, its integration within the sector is accompanied by significant legal and regulatory challenges, necessitating a nuanced understanding of compliance...
Text generation is an essential research area in artificial intelligence (AI) technology and natural language processing and provides key technical support for the rapid development of AI-generated content (AIGC). It is based on technologies such as natural language processing, machine learning, and ...