Machine learning
A new patent application has been filed for an image processing apparatus and method by inventors KOIKE, Tatsuki and TAKEMOTO, Kazuma. The application, filed on February 10, 2025, seeks to improve the accuracy of organ recognition for two-dimensional medical images. The inventors propose a system that trains a machine learning
Machine learning
Research from KIIT Deemed to be University suggests that quantum computing will revolutionize various fields, including cybersecurity, artificial intelligence, and digital communication. By harnessing the power of quantum computing, researchers believe it is possible to bypass current limitations and achieve breakthroughs in problem-solving. The study examines the implications of quantum
Machine learning
Researchers at Xidian University in Guangzhou, China, have developed a novel DDoS defense mechanism, CRH4DDoS, which employs conflict resolution strategies for the integration of heterogeneous data. This approach addresses the challenges associated with existing machine learning-based approaches, including the need for pre-existing databases of DDoS incidents and performance limitations due
Artificial intelligence
Medical school admissions committees rely on personal statements to evaluate applicants' values, motivations, and experiences. However, with the rise of artificial intelligence (AI), a new study suggests that AI-generated personal statements may become a concern for maintaining credibility in medical school admissions. Researchers from Nemours Children's Hospital
Machine learning
Researchers at INTI International University have developed a novel three-layer blockchain architecture, dubbed 3L-BC, designed to enhance security and privacy in unmanned aerial vehicle (UAV) communications through collaborative machine learning. The system, which was inspired by the need to address challenges faced by UAVs, including data confidentiality breaches, single points
Machine learning
Researchers at the Guilin University of Electronic Technology in China have made a significant discovery in the field of Mathematics, developing a novel chemometric method that applies deep learning architecture to enhance the accuracy of plastic waste sorting. This innovative method has the potential to significantly reduce landfill rates for
Machine learning
Graph-Patchformer, a novel deep learning framework, has been proposed to revolutionize multivariate time series forecasting. This breakthrough methodology, developed by researchers at the Beijing University of Technology, leverages structural encodings to capture inter-series relationships and temporal variations within multivariate time series. By employing a patch interaction transformer with adaptive graph
Machine learning
Researchers at the University of Tabriz have made a significant breakthrough in the field of artificial intelligence, developing a new approach for automatic text summarization. The team, led by Mohammad Reza Feizi Derakhshi, has been working on a method that can effectively extract key points from large volumes of text
Artificial intelligence
Research conducted by Amrita Vishwa Vidyapeetham has led to the development of a new hybrid generative adversarial network called ProWGAN, which simplifies image production for video games, virtual reality, and motion pictures. This model combines ProGAN and WGAN approaches to automate landscape synthesis, reducing manual work, lowering production time, and
Machine learning
Researchers at the University of Arizona have developed a systematic permutation approach to interpret supervised machine learning inferences in population genomics using haplotype matrix permutations. This innovative method provides a straightforward, model-agnostic, and biologically-motivated framework for understanding which population genetics features drive predictions, a critical limitation for method development and
Machine learning
Mental health challenges significantly contribute to the global burden of disease, but traditional approaches to psychological assessment and care are often resource-intensive and inaccessible. The burgeoning field of artificial intelligence, particularly large language models (LLMs), presents an opportunity to address these constraints. This review synthesizes recent applications of LLMs in
Machine learning
A recent study published in the American Journal of Orthodontics and Dentofacial Orthopedics has shed light on the accuracy and reliability of artificial intelligence (AI) language models in providing medical information. The study, conducted by Istanbul University-Cerrahpasa researchers, evaluated the performance of three popular AI language models - ChatGPT-4, Gemini,
