Machine learning
Researchers at the University of Montpellier have made a breakthrough in understanding species evolution and enabling functional annotation transfer by inferring protein homology from sequence information. They represented proteins with a biologically oriented large language model and applied k-means clustering to the embedded data to extract homology relationships. This approach
Machine learning
Researchers at Link Campus University in Italy have investigated the usefulness, quality, and readability of responses generated by three artificial intelligence large language models (AI-LLMs) - ChatGPT-4, Gemini, and Microsoft Copilot - to frequent questions about Burning Mouth Syndrome (BMS). The study aimed to evaluate the potential of AI-LLMs in
Machine learning
Research has shown that large language model-based artificial intelligence (AI) chatbots are increasingly being used in surgery, with a significant increase in publications from 2023 to 2024. The United States led in publications, accounting for 52.1% of the total, with Harvard Medical School emerging as the leading institution with
Artificial intelligence
As the healthcare industry continues to evolve, the use of artificial intelligence (AI) in nursing education is becoming increasingly prevalent. A recent scoping review, published in the Journal of Nursing Education, examined the current state of AI in nursing education, its effects on educational outcomes, and its challenges. The study,
Machine learning
A patent application has been made public detailing an innovative method and system for generating code for user interfaces using generative artificial intelligence (GenAI) technology. The application, filed on February 26, 2025, introduces a novel approach to handle sensitive or confidential data in a secure and responsible manner. The inventors,
Machine learning
The way researchers analyze text is undergoing a significant transformation. According to a recent preprint abstract, a new typology of text analysis methods is proposed, ranging from surface-level to contextual and cultural interpretation. This shift is enabled by the emergence of Large Language Models (LLMs), which can perform interpretive tasks
Artificial intelligence
A recent study conducted by researchers from Southwest Minnesota State University has sparked debate on the potential of artificial intelligence (AI) in academic writing. The study, published in the Journal of Neurosurgery-spine, aimed to evaluate the strengths and limitations of AI-generated content in scientific publishing. The research found that while
Artificial intelligence
Researchers at MIT Lincoln Laboratory have introduced two methods, DaaDy and SQAD, to improve the effectiveness of Large Language Models (LLMs) in retrieving and generating knowledge from large documents. These methods enable the artificial intelligence-assisted knowledge acquisition and continued learning, addressing the challenge of learning complex, detailed, and evolving knowledge
Artificial intelligence
Researchers from Texas A&M University have developed a novel framework called AutoFLUKA that leverages large language models (LLMs) and AI agents to automate the entire FLUKA simulation workflow. This effort aims to enhance productivity, reliability, and accessibility in nuclear engineering analysis by eliminating labor-intensive and error-prone manual input
Artificial intelligence
Researchers at Queen's University Belfast have discovered a framework that significantly improves the efficiency of optimizing prompts for classification tasks in large language models. According to the study, the PO2G (prompt optimization with two gradients) framework demonstrates up to 89% accuracy after just three iterations, outperforming a comparable
Artificial intelligence
In a move to preserve the intellectual integrity of published research, Cureus Journal of Medical Science has revised its Terms & Conditions to explicitly prohibit the use of its site content for training artificial intelligence systems, including large language models. This decision comes in response to the widespread practice of
Machine learning
Cureus, a medical publishing platform, is pushing back against the use of its open-access content by artificial intelligence systems. In an effort to preserve the intellectual integrity of its articles, Cureus has updated its terms of use to prohibit the use of its site content for AI training, data mining,
