The article presents a state-of-the-art analysis of Generative AI’s role in the construction industry. It identifies productivity challenges in design, planning, procurement, inspection, and maintenance processes. Generative AI, which can…
Continue readingThe study by Zijian Ding and Joel Chan from the University of Maryland introduces an ‘intelligent canvas’ – a new approach to visual data analysis. This canvas integrates generative AI…
Continue readingGhostWriter is an AI-powered environment that personalizes the writing process. It uses large language models (LLMs) to learn the user’s writing style as they write, while also allowing for explicit…
Continue readingThe emergence and increased use of large language models (LLMs) in user-facing systems have led to significant privacy concerns. These concerns have been primarily model-centered, exploring how LLMs lead to…
Continue readingThe paper discusses the use of Large Language Models (LLMs) in generating visualizations, noting both their potential and the challenges they present. It introduces EvaLLM, a theoretical evaluation stack designed…
Continue readingThe article presents GenLens – a tool for evaluating Generative AI (GenAI) model outputs. It fills a gap in the evaluation of GenAI output during the model development process, which…
Continue readingThe paper presents an innovative automated system for generating architectural schematic designs. This system is designed to streamline complex decision-making processes at the outset of multifamily real estate development projects….
Continue readingThe article ‘Prompt Smells: An Omen for Undesirable Generative AI Outputs’ discusses the recent trends in Generative Artificial Intelligence (GenAI) and its application in various fields. It sheds light on…
Continue readingThe article ‘Advancing GUI for Generative AI: Charting the Design Space of Human-AI Interactions through Task Creativity and Complexity’ by Zijian Ding, focuses on investigating human-AI interaction modalities across a…
Continue readingThe study presents an analysis of why millions of people interacted with Microsoft’s generative AI, Zo. It reviews the history and development of artificial intelligence, and the expectations of AI…
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