Machine learning
Research from Melbourne, Australia, explores the use of the AI language model, ChatGPT, in providing parenting guidance for managing attention-deficit hyperactivity disorder (ADHD) in children. The study, published in the Child and Adolescent Mental Health journal, assessed the model's ability to provide actionable behavioral strategies and clinical relevance
Artificial intelligence
A new study from Pace University has revealed significant differences in consumer responses to large language model AI chatbots and search engines when reviewing and evaluating product information. Researchers investigated consumer search preferences and self-disclosure willingness along with a psychological mechanism, finding that consumers prefer search engines over AI chatbots
Artificial intelligence
The Hong Kong Government, through its Department of Justice, has been actively promoting the application of legal technology (lawtech) and artificial intelligence (AI) in the legal sector. The government has developed large language models for use in areas of the common law and is considering the participation of AI in
Artificial intelligence
As the world becomes increasingly reliant on artificial intelligence (AI), researchers are working to understand how to effectively integrate AI-based technologies into education, particularly in language learning. A recent study from the University of Parma has shed light on the use of prompt engineering as a critical transversal skill for
Machine learning
Researchers at Tashkent State University of Economics have investigated the potential of Julian Jaynes' bicameral mind theory in enhancing reinforcement learning (RL) algorithms and large language models (LLMs) for artificial intelligence (AI) systems. According to a study published in the journal Computers, the researchers drew parallels between the dual-process
Artificial intelligence
Researchers from the University of Technology and Applied Sciences have developed a new approach to classify viral genomes using large language models. Their study explores the application of natural language processing (NLP) techniques to classify genomic sequences, with a focus on utilizing fine-tuned large language models (LLMs) such as DNABERT,
Machine learning
Researchers at Guizhou Normal University have introduced a new method called EvoContext, which aims to address the challenges of hyperparameter optimization in machine learning by leveraging genetic algorithms and large language models. According to the study, existing methods rely heavily on repetitive configurations and few-shot learning, which can limit the
Machine learning
The need to remove specific information from artificial intelligence (AI) systems is becoming increasingly important, driven by data privacy concerns, regulatory requirements, and the need to update systems with new data. However, traditional methods of information removal have been challenging due to the complex and intertwined nature of the information
Artificial intelligence
Researchers at the University of Minho have conducted a thorough analysis of the application of large language models (LLMs) in generating synthetic medical text, addressing concerns surrounding data scarcity and privacy constraints in clinical natural language processing (NLP). The study, published in the journal AI, highlights the potential of LLMs
Machine learning
In a breakthrough study published in the Journal of the American Chemical Society, researchers from PSL University have explored the potential of large language models (LLMs) in accelerating and automating materials development research. The research, led by Francois-Xavier Coudert, focuses on the application of LLMs in metal-organic framework (MOF) research,
Machine learning
Research conducted at Sindh Madressatul Islam University has unveiled the substantial impact of Transfer Learning (TL) and large language models on the healthcare sector. The study demonstrates the applications of these models in medical diagnostics, patient services, and clinical process automation, highlighting their potential to boost accuracy and efficiency. However,
Artificial intelligence
Facial analysis is crucial for preoperative planning in facial plastic surgery, but traditional methods can be time-consuming and subjective. A recent study from Mayo Clinic investigated the potential of Artificial Intelligence (AI) in objective and efficient facial analysis using Multimodal Large Language Models (MLLMs). The research evaluated the ability of
