Machine learning
A patent application has been filed by inventors Maeda, Yoshiki and Shimizu, Ippei for an inclination adjusting device and a robot that can be used in semiconductor manufacturing. The invention is designed to help transfer semiconductor substrates while holding them in place, using a unique spherical surface sliding bearing that
Machine learning
A new study on Robotics has shed light on the limitations of traditional Rapidly-exploring Random Tree Star (RRT*) algorithm in complex environments. Researchers from Anhui University of Science and Technology have proposed a Multi Strategy Bidirectional RRT* (MS-BI-RRT*) algorithm to address the issues of slow convergence speed and poor path
Machine learning
Researchers at George Mason University have discovered that telepresence robots can serve as a superior educational modality to videoconferencing, particularly in scenarios where in-person instruction is not feasible. The study, published in the International Journal of Social Robotics, found that participants who interacted with telepresence robots performed significantly better on
Machine learning
Researchers at the Hospital Clinic of Barcelona in Spain have conducted a study on the potential of unstructured electronic health records (EHRs) data to describe the prevalence and clinical spectrum of diabetes mellitus (DM) in hospitals. The study used natural language processing (NLP) and machine learning (ML) to analyze EHRs
Machine learning
Scientists have been working on developing a method to aid medical imaging navigation using artificial intelligence. This technology aims to alleviate the problem of skilled sonographers and technicians being in high demand. The current approach uses a simulation environment, where a synthetic image is generated from a CT scan. However,
Machine learning
Artificial intelligence (AI) applications hold great promise for improving accuracy and efficiency in medical imaging diagnostics, but widespread adoption is progressing slower than expected due to technological, organizational, and regulatory obstacles, as well as user-related barriers. Researchers at the University of Bayreuth conducted a study to identify measures to enable
Machine learning
Researchers at Netaji Subhas University of Technology have made significant progress in the field of neural computation by developing a novel approach to optimize the performance of Electrical Discharge Diamond Grinding (EDDG) machines. The Modified Ant Lion Optimization-Artificial Neural Network (MALO-ANN) technique, a dual-approach method, has been shown to greatly
Machine learning
Researchers at Anhui Polytechnic University in Anhui, People's Republic of China, have developed a new hybrid genetic tabu search algorithm (HGTSA) to address the critical issue of job shop scheduling in the manufacturing industry. The algorithm combines the global search ability of genetic algorithms and the local search
Machine learning
Researchers at Koc University have made significant strides in machine learning by designing a photonic neural network that leverages spatiotemporal chaos to enhance data classification accuracy. This innovative approach has shown promising results in multiple domains, including biomedical imaging, fashion, and satellite geospatial analysis. The study's findings underscore
Machine learning
A new study has introduced a novel machine learning-based strategy for generating supercapacitor reference current to optimize energy distribution in Battery Electric Vehicles (BEV) and Hybrid Battery Electric Vehicles (HBEV). Researchers from the School of Electrical Engineering have developed a Long Short-Term Memory (LSTM) neural network trained using real-world drive
Machine learning
Researchers at Fudan University in Shanghai, China have proposed a machine learning-enhanced model-based optical proximity correction (MBOPC) framework that employs a convolutional neural network (CNN) to predict mask edge imaging thresholds. This innovation addresses accuracy bottlenecks in traditional MBOPC techniques due to physical modeling errors. The CNN-based variable threshold strategy
Machine learning
Research conducted by the School of Computer Science and Information Technology has shed light on the effectiveness of machine learning algorithms in predicting relationship dynamics during initial meetings. The study analyzed various models, including Light Gradient Boosting Classification (LGBC), in conjunction with the Henry Gass Solubility Optimization Algorithm (HGSOA), Flying
