Machine learning
Researchers at the University of Tehran have developed a deep learning-based solution for designing optimal contracts in federated learning, a method that enables collaborative model training without sharing raw data. The study proposes a novel application of Deep Neural Networks (DNNs) to achieve near-optimal contracts, which can incentivize vehicle participation
Machine learning
A recent research study published in PLOS Computational Biology has shed new light on the challenges of identifying novel and functional RNA structures. The study, conducted by researchers at New York University (NYU), introduces a computational topology-based approach with unsupervised machine-learning algorithms to estimate the database size and content of
Machine learning
Researchers from Manipal University in Rajasthan, India, have developed a novel genetic algorithm, called Inverted Swap crossover, for automated machine learning (AutoML) in Convolutional Neural Networks (CNNs). This innovative technique is designed to optimally select the best convolutional and pooling layers, activation functions, and other architectural decisions for image classification
Machine learning
Researchers from the University of California San Francisco (UCSF) have made new findings in the field of artificial intelligence. According to their research, a novel machine learning (ML) algorithm was developed to predict early and late hospital discharge in patients who have undergone transcatheter aortic valve replacement (TAVR). The study
Machine learning
The Union Minister of Communications, Jyotiraditya Scindia, has signed a memorandum of understanding (MoU) with prominent technology companies, including Ericsson India, Qualcomm Technologies, Cisco Systems, and Nokia Solutions and Networks India, to establish a Telecom Innovation, Research and Training Centre (TIRTC) at the Bharat Ratna Bhim Rao Ambedkar Institute of
Machine learning
Researchers at Southern Illinois University have made a significant leap in artificial intelligence for soybean pod number estimation, which is crucial for yield prediction, breeding programs, and precision farming. By developing lightweight and efficient AI models, the team addresses the limitations of existing models, making them suitable for deployment in
Machine learning
Scientists at Zhejiang University have developed an improved Motion Tomography (MT) method for measuring and estimating ocean flow fields with unmanned surface vehicles (USVs). This innovative approach provides essential information for effective navigation of marine vehicles, particularly in high-resolution flow fields. The research was supported by the National Natural Science
Machine learning
Researchers from Hunan University of Arts and Science have developed a novel approach to intrusion detection in the Industrial Internet of Things (IIoT) by combining blockchain technology and machine learning. This innovative solution aims to address cybersecurity threats and unauthorized access in IIoT environments. The proposed system leverages the benefits
Machine learning
Researchers from Jilin University have made a significant breakthrough in solving the Dirac equation, a fundamental problem in quantum mechanics. Using a deep neural network and an unsupervised machine learning technique, the team was able to accurately solve the equation not only for the ground state but also for low-lying
Machine learning
Current study results on drugs and therapies - personalized medicine have been published, highlighting the potential of machine learning to personalize treatment and improve population health outcomes. Researchers from the Graduate School of Public Health utilized the Shizuoka Kokuho Database to investigate heterogeneity in statin treatment effects, employing a 1:
Machine learning
Research from the School of Accounting has shed light on the relationship between artificial intelligence (AI) and high-quality economic development (HQED) of the manufacturing industry in China. The study, which utilized data from 2010 to 2022, found that AI significantly promotes HQED in the manufacturing industry, particularly in the eastern
Machine learning
Researchers from Xidian University have developed a novel swarm trajectory planning framework that leverages a virtual core to control drone formations, enabling efficient and safe navigation through complex environments. The framework employs virtual core penalties and dynamic maximum speed allocation to maintain formation stability while avoiding obstacles. A collaborative large
