Machine learning
A new study published in the journal Engineering Applications of Artificial Intelligence has made significant advancements in lung tumor segmentation using a cascaded two-stage U-net model, Distraction-Sensitive U-Net (DSU-Net). This research aims to address the challenging problem of ambiguity between tissue regions and tumor regions in existing methods. The study,
Machine learning
A new report from Liaocheng University in China has discussed the importance of energy-efficient scheduling of distributed production systems in the era of economic globalization and green manufacturing. Research findings have highlighted the need for more attention to the energy-efficient scheduling of distributed permutation flow-shop problem with limited buffers (DPFSP-LB)
Machine learning
QuantGate Systems Inc., a publicly-traded Fintech company operating for over ten years, has successfully integrated its trading platform with Copy Trade Brasil, a Brazilian Fintech solutions provider. The integration marks a significant milestone in the development of AI-driven trading signals, with QuantGate's technology providing seamless API integration and
Machine learning
Juniper Networks, a leader in secure, AI-driven networks, has launched a university funding initiative to drive strategic research in next-generation network solutions. The research focus areas include artificial intelligence (AI) and machine learning (ML), intelligent multipath routing, and quantum communications. This initiative aims to prepare organizations for the increasing complexity
Machine learning
The Global Tensor Processing Unit market size is forecast to reach $78.5 billion by 2027, growing at a CAGR of 18.2% from 2022 to 2027. Tensor Processing Unit (TPU) is a custom-made application-specific integrated circuit designed for accelerating machine learning algorithms or AI-based workloads. These machine learning chips
Machine learning
Research from University of Karabuk in Turkey reveals that deep learning algorithms, particularly convolutional neural networks (CNNs) and transformers, have revolutionized the classification of complex landscapes in remote sensing. The study, which integrated CNNs and transformers with a modified version of the VGG-16 network, achieved exceptional results in wetland classification,
Machine learning
Researchers from Kangwon National University, in collaboration with several financial supporters, have conducted a study on landslide susceptibility mapping using deep learning algorithms and metaheuristic optimization algorithms. The study aimed to investigate the application of Convolutional Neural Networks (CNNs) with metaheuristic optimization algorithms, namely the Grey Wolf Optimizer (GWO) and
Machine learning
Researchers from the China University of Geosciences utilized artificial neural networks to model the relationship between groundwater fluoride concentrations and environmental variables in China, predicting a high risk of fluorosis in western and northern provinces. According to the study, approximately 89 million people are potentially at risk of fluorosis due
Machine learning
Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence (AI) algorithm that can detect pulmonary embolisms in electrocardiograms (EKGs) for the first time. This breakthrough could revolutionize the way doctors screen for this life-threatening condition, which occurs when blood clots block lung arteries. The
Machine learning
Researchers at Northeastern University in Liaoning, People's Republic of China, have made significant strides in creep-oriented alloy design by developing a novel framework that integrates machine learning with a genetic algorithm. This breakthrough has the potential to revolutionize the field of metal structural materials by providing a high-efficiency
Machine learning
Moderna, a leading mRNA technology developer, has established an artificial intelligence training program for its employees in partnership with Carnegie Mellon University. The AI Academy aims to enhance the company's digital-first culture and prepare working professionals for the adoption of mRNA technologies in various diseases. Moderna's
Machine learning
A recent study published in Frontiers in Robotics and AI has found that young children exhibit increased physical activity and interact more with a socially assistive robot during playtime. The research, conducted by a team of researchers from Oregon State University, involved six children aged 3.6 years who participated
