Recent advances in large language models (LLMs) offer new opportunities for scalable, interactive mental health assessment, but excessive querying by LLMs burdens users and is inefficient for real-world screening across transdiagnostic symptom profiles. We introduce MAQuA, an adaptive question-asking framework for simultaneous, multidimensional mental health screening. Combining multi-outcome modeling on language responses with item response theory (IRT) and factor analysis, MAQuA selects the questions with most informative responses across multiple dimensions at each turn to optimize diagnostic information, improving accuracy and potentially reducing response burden. Empirical results on a novel dataset reveal that MAQuA reduces the number of assessment questions required for score stabilization by 50-87% compared to random ordering (e.g., achieving stable depression scores with 71% fewer questions and eating disorder scores with 85% fewer questions). MAQuA demonstrates robust performance across both internalizing (depression, anxiety) and externalizing (substance use, eating disorder) domains, with early stopping strategies further reducing patient time and burden. These findings position MAQuA as a powerful and efficient tool for scalable, nuanced, and interactive mental health screening, advancing the integration of LLM-based agents into real-world clinical workflows.

Beautimeter is a new tool powered by generative pre-trained transformer (GPT) technology, designed to evaluate architectural and urban beauty. Rooted in Christopher Alexander's theory of centers, this work builds on the idea that all environments possess, to varying degrees, an innate sense of life. Alexander identified 15 fundamental properties, such as levels of scale and thick boundaries, that characterize living structure, which Beautimeter uses as a basis for its analysis. By integrating GPT's advanced natural language processing capabilities, Beautimeter assesses the extent to which a structure embodies these 15 properties, enabling a nuanced evaluation of architectural and urban aesthetics. Using ChatGPT, the tool helps users generate insights into the perceived beauty and coherence of spaces. We conducted a series of case studies, evaluating images of architectural and urban environments, as well as carpets, paintings, and other artifacts. The results demonstrate Beautimeter's effectiveness in analyzing aesthetic qualities across diverse contexts. Our findings suggest that by leveraging GPT technology, Beautimeter offers architects, urban planners, and designers a powerful tool to create spaces that resonate deeply with people. This paper also explores the implications of such technology for architecture and urban design, highlighting its potential to enhance both the design process and the assessment of built environments. Keywords: Living structure, structural beauty, Christopher Alexander, AI in Design, human centered design

Dr. Anthony Mazzarelli, the CEO of Cooper University Health Care in New Jersey and an ER physician as well, spoke with Fox News Digital about how Nuance's AI tool is helping physicians focus more on patients and less on paperwork. A Texas church hosted a Sunday service the was generated entirely by artificial intelligence. The Violet Crown City Church in north Austin used ChatGPT to develop a sermon, with pastor Jay Cooper saying he got the idea after reading about the technology and wondering what it might be like to use in during a service, according to a report from KXAN. "ChatGPT kicked out about a 15-minute service, like a shotgun sermon, an outline," Cooper said. "It's very clear that a human element is still needed. I had to fill out the service with additional prompts and add a couple prompts to the sermon to kind of beef it up."

In today's data-driven world, the role of marketing in businesses has become more complex than ever before. To succeed, businesses need to harness the power of Machine learning, Data Science, Deep Learning, and Artificial Intelligence to create marketing strategies that are targeted, efficient, and effective to capture the target audience. This article will explore how Artificial Intelligence and marketing can collaborate to create a marketing strategy that drives revenue growth and customer engagement. We will also discuss various machine learning techniques and tools that can be used to analyze customer data to find patterns in the data, optimize marketing campaigns for cost-effectiveness and customer acquisition, and personalize customer experiences based on those recommendations. In this article, we will dive deep into AI Marketing.

VisitDenmark, the official tourism organization of Denmark, has recently launched an AI production campaign. The campaign, which uses AI to produce a series of videos and images, aims to attract more visitors to Denmark. And to promote the country's cultural heritage. In this it can create high-quality images and videos based on data and algorithms. It also produces unique visuals that highlight the country's charm and beauty.

In the competitive world of startups, big and small players are constantly looking for ways to innovate by working smarter and faster. With ChatGPT's recent launch and many other AI-based software solutions, startups now have access to increasingly intelligent tools for a myriad of content, public relations and marketing use cases. However, when building a reputable brand that their audience can trust, understand and relate to, many startups are missing the mark. In this article, we will explore three ways in which AI can be used to not merely push out content but curate a branding strategy that deeply resonates with your potential customers, investors and overall audience. Are You Using It to Your Advantage?

Personalization is key in digital marketing, and AI makes it easier for businesses to personalize their marketing efforts. AI algorithms can analyze customer data and provide insights into customer behavior and preferences. This information can then be used to create targeted and personalized campaigns that resonate with customers. Personalized marketing campaigns result in increased customer engagement, higher conversion rates, and improved customer loyalty. Chatbots are a popular use of AI in digital marketing.

As technology advances, so does how we market our products and services. And with the rise of artificial intelligence (AI), businesses are beginning to explore how this innovative technology can be used to improve their marketing strategies. AI offers several content marketing advantages, including personalizing content, targeting specific audiences, and optimizing campaigns. As more businesses adopt AI-powered content marketing, it is becoming increasingly clear that this technology is the future of content marketing. This article will explore the various ways in which AI is shaping the future of content marketing.

Social media platforms are a huge part of everyone’s life today. Regarded as entertainment and used only in the free time a few years ago, today it is the most influential domain in the world when…

In a time when the pace of change is accelerating, the presence of creative excellence for businesses is crucial for success. However, it is easier said than done. Creative excellence with humans alone has its setbacks, preventing it from reaching its full potential. That's where artificial intelligence comes in. AI is an extraordinary force for creative excellence.