Top Research Papers on Generative AI

This paper is all about explaining generative AI: where it came from, what it's doing now, and how it's used.

This study explored nursing students' perspectives on GAI after a guided learning activity in which students used a chatbot to answer a clinical question.

The study's central objective is to harness the power of generative Artificial Intelligence (AI) as a valuable resource for delving deeper into the insights offered by patients with breast cancer who actively participated in a Mindfulness-Based Stress Reduction (MBSR) program.

The branch of Artificial Intelligence known as Generative Artificial Intelligence, which integrates AI models and algorithms to generate fresh and unique content. [Fig.1][1] Generative AI algorithms apply probabilistic approaches to produce new instances that mirror the original data. It can demonstrate creative and inventive user behavior and design. Generative AI relies on Machine Learning(ML), and it learns from data patterns. Neural networks, acts like human brain enable the Generative AI to understand and interpret information. It is like giving the AI, a brain to think and learn on its o...

The use of generative artificial intelligence (GenAI) in scientific publications requires strict guidelines to ensure transparency, credibility, and ethics of research.

Insight is yielded into the effectiveness of pedagogical methods and their impact on AI literacy and algorithmic thinking among university students, ultimately contributing to a more informed and AI-competent future workforce.

Generative Artificial Intelligence is still in its infancy, yet it has started to transform the way people live, work, and play and its contributions to the economy and society are still mostly hypothetical.

The main GAI foundational algorithmic architectures for data generation are presented; each considers a previously gathered data set and generates novel and synthetic data.

How GenAI can help companies achieve a higher level of hyper-segmentation and hyper-personalization in the tourism industry, as well as show the importance of this disruptive tool for tourism marketing is explored.

It is revealed that innovation managers who exhibit strong innovation orientations and higher Individual Creativity are more likely to adopt and personalize ChatGPT, demonstrating that innovation managers who exhibit strong innovation orientations and higher Individual Creativity are more likely to adopt and personalize CGA.

A preliminary concept of a smart industrial brain for TCM, aiming to provide a reference for the application of AI technology in the field of TCM manufacturing, is proposed.

An illustrative analysis of the rise of AI and its applications within industry, health and in particular, social work placement considers how working from a new evidence base, the application of critically analysing digitally produced knowledge, can be a relevant teaching tool within placement supervision.

This systematic review analyzes 87 original research articles to provide a comprehensive overview of how GenAI models including Generative Adversarial Networks, Diffusion Models, Large Language Models, and Variational Autoencoders—are applied across various healthcare domains.

An exploratory study on 236 university educators based in India revealed mixed perceptions of using ChatGPT as a learning and teaching tool and proposed potential research avenues about the use OpenAI in education.

This research aims to provide guidance for the responsible deployment of LLM in education and outlines future research directions with a dual-track framework that analyzes how LLM revolutionize educational paradigms while triggering ethical concerns through two dimensions: technological empowerment pathways and ethical research.

Generative AI in psychiatry and mental health is a nascent but quickly expanding field that mainly focuses on applications of ChatGPT, and finds that generative AI performs well, but notes that it is limited by significant safety and ethical concerns.

The exploration of PaLM-E’s decision-making processes and adaptability across various robotic environments, demonstrating its capacity to convert textual prompts into very precise robotic actions, reveals the deep interconnections between vision, language, and robotics.

The paper emphasises the need to update assessment policies, develop guidelines for staff and students, scaffold AI skills development, and find ways to leverage technology in the classroom to harness the full potential of LLMs while managing their adoption responsibly.

This article suggests avenues for future study and talks about how diffusion models might change the way cybersecurity is done and how these models can improve current systems for finding threats.

This study provides a comprehensive understanding of AI and GAI’s functionality and applications in the SCOM context, offering a practical framework for both practitioners and researchers and systematically identifies where and how AI and GAI can be applied in SCOM.