Machine learning
The dark factories market has experienced rapid growth in recent years, driven by the increasing adoption of advanced technologies such as industrial robotics, industrial internet of things (IIoT), and additive manufacturing. According to a recent report by Research and Markets, the market was valued at $119.19 billion in 2024
Machine learning
Artificial Intelligence (AI) and Machine Learning (ML) are increasingly becoming crucial components of engineering and medical education, transforming the way knowledge is imparted and applied in various fields. Technical universities and colleges in south India have started offering undergraduate and postgraduate programmes in AI & ML, integrating applications in disciplines
Machine learning
Investigations into machine learning have recently led to the publication of a new report, focusing on the role of automated software systems in controlling essential operations. The research team from Singidunum University, funded by the Science Fund of the Republic of Serbia and the Intelligent Multi-Agent Control and Optimization applied
Machine learning
A CLARA Analytics study on insurance fraud detection has demonstrated that advanced analytical methods can identify potential fraud indicators just two weeks after a claim is filed, significantly earlier than traditional methods. The research, completed in November 2024, analyzed 2,867 claims from 2020 to 2024 using an unsupervised machine
Machine learning
Abu Dhabi's Technology Innovation Institute (TII) and AI71, a leading Abu Dhabi AI company, have joined forces with Amazon Web Services (AWS) to expand access to advanced AI models and solutions. By leveraging TII's expertise in large language models (LLMs), AI71's expertise in building
Machine learning
Researchers have developed a novel approach to assess teacher performance by integrating deep learning and metaheuristics. This study presents a comprehensive index framework to evaluate the pedagogical quality of English as a foreign language (EFL) instruction in a classroom setting. The proposed approach uses a convolutional neural network (CNN) optimized
Machine learning
A new study from the Department of Technology at Shanghai Palan DataRx Co. Ltd. has developed a machine learning model tool for identifying postoperative patients with major bleeding based on electronic medical records. The researchers used data from a database of 2,000 patients who underwent in-hospital tumor resection surgery
Machine learning
Researchers have been working with gridded livestock distribution datasets for years, using them in various fields like epidemiology, livestock impact assessment, and territory management. These datasets are based on national or sub-national censuses downscaled using machine learning algorithms and spatial-explicit environmental predictors. One notable dataset is the Gridded Livestock of
Machine learning
Artificial intelligence (AI) techniques can significantly improve the accuracy of precipitation forecasting by leveraging metrological data. Researchers from the University of Sulaimani have conducted a study using Multilinear regression (MLR), Artificial Neural Networks (ANN), and Neuro-Fuzzy Inference System (ANFIS) to predict daily precipitation. The study found that both AI systems
Machine learning
Researchers at the China University of Petroleum have developed an integrated data-driven framework for forecasting tight gas production using machine learning algorithms, feature selection, and fracturing optimization. The study aimed to identify the most significant factors affecting tight gas productivity and to provide evidence-based recommendations to refine development strategies and
Machine learning
Research conducted at Mettu University highlights the importance of sociodemographic, economic, and personal factors influencing intention to use family planning (FP) in Ethiopia. By analyzing secondary data from the Ethiopian Performance Monitoring and Accountability 2021 survey, the study employed machine learning algorithms to identify the key determinants of intention to
Machine learning
Google Cloud Platform's high-performance computing and AI/ML customers demand impressive performance at competitive prices, as stated by Dean Hildebrand, Technical Director, Office of the CTO, Google Cloud. Sycomp's Intelligent Data Storage Platform has achieved a milestone innovation by delivering 1.2 TB per second of
