Artificial intelligence
A new study by researchers from University Teknologi Malaysia has shed light on the impact of generative artificial intelligence (AI) tools and large language models (LLMs) on language learners' critical thinking (CT) in English as a Foreign Language (EFL) education. The systematic review analyzed 15 studies from 2022 to
Artificial intelligence
As the use of large language models (LLMs) has increased, so has their hunger for data. These models are trained on vast amounts of text from the internet, but their data-gathering practices are transparent and respectful of website owners' wishes. Many AI companies claim to respect the robots.txt
Machine learning
Research published in IEEE Access by the University of Piraeus has introduced LYRICEL, a framework that combines Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable and explainable cross-cultural lyric analysis. The framework's core component, Sequential Language Model Integration (SLMI), enhances the interpretability
Artificial intelligence
Researchers from the University of Tokyo have made significant strides in utilizing artificial intelligence (AI) to handle fundamental analysis in equity investing. By leveraging large language models (LLMs) and a novel Autonomous Fundamental Analysis System (AutoFAS), the AI agents can autonomously and logically explore various facets of target companies, producing
Artificial intelligence
Current study results on artificial intelligence highlight the growing importance of recommender systems in various online services. Researchers at Montana State University have published a study detailing the integration of large language models (LLMs) with traditional recommendation methods to enhance flexibility and performance. The study emphasizes the role of transformer
Machine learning
Research from the University of Texas MD Anderson Cancer Center has shed light on the potential of machine translation in patient-centered care. The study focuses on the ability to rapidly and inexpensively create accurate translations of English language patient-reported outcome measures (PROMs) to facilitate global uptake. The researchers explored the
Machine learning
Researchers at the University of Portsmouth have proposed a novel framework, FedLLMGuard, to address the rising security challenges in 5G networks. This framework integrates Federated Learning (FL) with Large Language Models (LLMs) for real-time, privacy-preserving, and adaptive anomaly detection. FedLLMGuard has been evaluated against traditional Machine learning-based Intrusion Detection Systems
Artificial intelligence
Artificial intelligence (AI) and large language models (LLMs) are transforming energy systems and climate strategies by enhancing efficiency, enabling precise resource management, and supporting sustainable economic growth. This emerging technology is being explored across diverse domains, including urban energy optimization, industrial automation, and renewable energy forecasting. By addressing economic imperatives
Artificial intelligence
As the impact of artificial intelligence (AI) continues to grow in various aspects of life, Emory College of Arts and Sciences professor Yana Bromberg is teaching first-year students how to navigate this rapidly evolving technology through her class, "College in the Age of AI." This course aims to
Artificial intelligence
Researchers from the University of Maryland School of Medicine developed a new application of artificial intelligence (AI) to quickly scan notes in electronic medical records and identify high-risk patients who may have been infected with H5N1 avian influenza or 'bird flu'. The AI tool, a generative AI large
Artificial intelligence
Research into artificial intelligence (AI) is yielding new insights into its potential in smart healthcare applications. As climate change, habitat destruction, and increased population ages contribute to rising disease incidence, AI models can process and analyze vast amounts of medical data. Generative pre-trained transformers (GPT) and bidirectional encoder representations from
Artificial intelligence
As AI technologies continue to revolutionize the legal profession, concerns are mounting about the impact on attorney-client privilege. In a rapidly evolving landscape, both lawyers and clients must be vigilant about navigating the complex intersection of AI platforms and confidentiality obligations. The attorney-client privilege is a cornerstone of the legal
