Machine learning
A recent study by researchers from the National University of Defense Technology in Nanjing, People's Republic of China, has highlighted the significant impact of deep learning technologies on various sectors, including education. The study focuses on the role of education in building national soft power and proposes a
Machine learning
Researchers from the National Technical University of Athens have discussed the rapid advancement of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), which has led to the development of high-performance models in various applications. However, security threats arise from the vulnerabilities of ML models to adversarial attacks
Machine learning
Pune-based Kapittx, a provider of accounts receivable automation solutions, has launched a new AI-powered capability designed to accelerate and simplify the cash application process for finance teams. The update aims to reduce Days Sales Outstanding (DSO), improve accuracy, and increase operational efficiency across finance departments managing high transaction volumes. The
Machine learning
The global food robotics market is poised to experience significant growth, driven by the rising labor shortages in the food industry, increasing demand for food safety and hygiene, and technological advancements in AI and machine learning. According to a new market research report, the food robotics market is projected to
Machine learning
A new study from the School of Geosciences and Info-Physics has utilized machine learning techniques to predict the fracability index of shale gas formations, offering a faster and more cost-effective alternative to traditional experimental methods. The research, focusing on the Upper Ordovician Wufeng to Lower Silurian Longmaxi Formation in the
Machine learning
Researchers at the First People's Hospital in Guizhou, China, have developed a novel pathomics model that reliably predicts breast cancer prognosis using machine learning algorithms. The study, published in the journal PLOS ONE, analyzed the expression of checkpoint kinase 1 (CHEK1) in breast cancer tissue and found that
Machine learning
Researchers from Southern Illinois University have made significant improvements in mapping hydrographic features such as river boundaries, streamlines, and waterbodies using high-resolution digital elevation models (HRDEMs) from LiDAR and InSAR technologies. According to the study, drainage crossings, which facilitate the passage of drainage flows beneath roads, are often not represented
Machine learning
A recently published patent describes a robot system and method for predicting the life of a regenerative resistor, a crucial component in robotic systems. The invention, filed by Jun Kanzaki and colleagues on July 28, 2021, was published online on May 6, 2025. The patent aims to solve the problem
Machine learning
Recent research at Techno India University in Kolkata, West Bengal, India, has proposed a novel approach to extractive summarization of Indian legal judgments. The study, published in the journal Artificial Intelligence and Law, presents an unsupervised method called Unsupervised Role-Labelled Knapsack Summarizer (URL KnapSum) that eliminates the need for expert
Machine learning
Researchers from the University of Lausanne have published a new report on the evidential foundations of probabilistic reasoning, extending studies using the notion of weight of evidence to measure evidential phenomena in complex reasoning patterns. The paper presents methods to measure inferential interactions and dissonances among items of evidence, enabling
Machine learning
A new medical technique has been developed using sophisticated algorithms and neural networks to diagnose various illnesses and brain disorders, including multiple sclerosis, Alzheimer's, and other neurological ailments, by predicting the biological age of the brain using MRI pictures. Researchers have created a deep learning model, named CNN-MRMR,
Machine learning
Research has been conducted to evaluate the utility of root capacitance (C) as a practical indicator of root function and its relationship to plant growth parameters in Capsicum annuum L. The study, led by the Hungarian University of Agriculture and Life Sciences, applied artificial neural networks (ANN) as a novel
