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    Studies in the Area of Robotics Reported from Jilin University (A Real-time Seam Tracking System Based On Extraction and Restoration Model In Robotic Gmaw)

    20-20页
    查看更多>>摘要:A new study on Robotics is now available. According to news reporting originating in Changchun, People’s Republic of China, by NewsRx journalists, research stated, “Seam tracking technology is an important part of the intelligent welding field. In this paper, a laser vision-based real-time seam tracking system was built.”

    Kazan National Research Technical University Researchers Detail Research in Artificial Intelligence (Enterprise automation using artificial intelligence: Methods, technologies and prospects)

    21-21页
    查看更多>>摘要:Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Kazan National Research Technical University by NewsRx correspondents, research stated, “The integration of Artificial Intelligence (AI) technologies is significantly transforming the landscape of enterprise automation across various industrial sectors.”

    Researcher at University of Houston Zeroes in on Machine Learning (Accelerating Elastic Property Prediction in Fe-C Alloys through Coupling of Molecular Dynamics and Machine Learning)

    21-22页
    查看更多>>摘要:A new study on artificial intelligence is now available. According to news reporting originating from Houston, Texas, by NewsRx correspondents, research stated, “The scarcity of high-quality data presents a major challenge to the prediction of material properties using machine learning (ML) models. Obtaining material property data from experiments is economically cost-prohibitive, if not impossible.”

    Reports Summarize Robotics Research from Shanghai Jiao Tong University (Adaptive Skid-Steering Control Approach for Robots on Uncertain Inclined Planes with Redundant Load-Bearing Mobility)

    22-23页
    查看更多>>摘要:Research findings on robotics are discussed in a new report. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Climbing manufacturing robots can create a revolutionary manufacturing paradigm for large and complex components, while the motion control of climbing manipulation-oriented robots (CMo-Rs) is still challenging considering anti-slippage problems.”

    Chongqing University Researcher Provides New Study Findings on Pattern Recognition and Artificial Intelligence (An End-to-End Video Coding Method via Adaptive Vision Transformer)

    23-24页
    查看更多>>摘要:New study results on pattern recognition and artificial intelligence have been published. According to news reporting from Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Deep learning-based video coding methods have demonstrated superior performance compared to classical video coding standards in recent years. The vast majority of the existing deep video coding (DVC) networks are based on convolutional neural networks (CNNs), and their main drawback is that since CNNs are affected by the size of the receptive field, they cannot effectively handle long-range dependencies and local detail recovery.”

    Data on Artificial Intelligence Described by Researchers at Universidad de Las Americas (Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS)

    24-25页
    查看更多>>摘要:Research findings on artificial intelligence are discussed in a new report. According to news originating from Quito, Ecuador, by NewsRx correspondents, research stated, “Cybersecurity is a critical concern in today’s digital age, where organizations face an ever-evolving cyber threat landscape.” The news journalists obtained a quote from the research from Universidad de Las Americas: “This study explores the potential of leveraging artificial intelligence and Amazon Web Services to improve cybersecurity practices. Combining the capabilities of OpenAI’s GPT-3 and DALL-E models with Amazon Web Services infrastructure aims to improve threat detection, generate high-quality synthetic training data, and optimize resource utilization. This work begins by demonstrating the ability of artificial intelligence to create synthetic cybersecurity data that simulates real-world threats. These data are essential for training threat detection systems and strengthening an organization’s resilience against cyberattacks. While our research shows the promising potential of artificial intelligence and Amazon Web Services in cybersecurity, it is essential to recognize the limitations. Continued research and refinement of AI models are needed to address increasingly sophisticated threats.”

    Tarbiat Modares University Researchers Provide Details of New Studies and Findings in the Area of Artificial Intelligence (Predicting IVF Pregnancy Outcome and Analyzing its Cost Factors: An Artificial Intelligence Approach)

    25-26页
    查看更多>>摘要:Researchers detail new data in artificial intelligence. According to news reporting out of Tehran, Iran, by NewsRx editors, research stated, “Infertility treatment methods that are used today have a limited (or little) success rate, and patients bear a lot of financial and emotional burden to get pregnant.” Our news reporters obtained a quote from the research from Tarbiat Modares University: “Recently, artificial intelligence has been proposed to evaluate gametes better and choose the best embryo for transfer to the uterus. This study investigated the financial benefit of using artificial intelligence for infertility treatment. We aim to evaluate the effectiveness of AI in IVF, comparing AI model performance with standard methods and introducing a novel method to measure financial benefits in healthcare resource allocation. Achieving 75% accuracy, AI significantly outperformed standard methods, reducing the likelihood of discarding viable embryos. This technology streamlines the IVF process, leading to shorter treatment cycles and a cost reduction of 1500 dollars per cycle.”

    Research on Machine Learning Discussed by Researchers at Tianjin University of Science and Technology (Machine Learning-Based Fuzz Testing Techniques: A Survey)

    26-26页
    查看更多>>摘要:Investigators discuss new findings in artificial intelligence. According to news reporting out of Tianjin, People’s Republic of China, by NewsRx editors, research stated, “Fuzz testing is a vulnerability discovery technique that tests the robustness of target programs by providing them with unconventional data.” The news correspondents obtained a quote from the research from Tianjin University of Science and Technology: “With the rapid increase in software quantity, scale and complexity, traditional fuzzing has revealed issues such as incomplete logic coverage, low automation level and insufficient test cases. Machine learning, with its exceptional capabilities in data analysis and classification prediction, presents a promising approach for improve fuzzing. This paper investigates the latest research results in fuzzing and provides a systematic review of machine learning-based fuzzing techniques. Firstly, by outlining the workflow of fuzzing, it summarizes the optimization of different stages of fuzzing using machine learning. Specifically, it focuses on the application of machine learning in the preprocessing phase, test case generation phase, input selection phase and result analysis phase. Secondly, it mentally focuses on the optimization methods of machine learning in the process of mutation, generation and filtering of test cases and compares and analyzes its technical principles.”

    Reports Outline Robotics Findings from Southeast University (Adaptive Fault-tolerant Formation Tracking Control of Networked Mobile Robots With Input Delays)

    27-27页
    查看更多>>摘要:New research on Robotics is the subject of a report. According to news reporting originating in Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “This paper addresses a fault-tolerant formation tracking problem for multiple mobile robots, where the dynamics of each robot is nonholonomic with time-varying input delays and actuator faults. The control problem is challenging since the actuator faults (e.g., loss of effectiveness and biased faults) are unknown in the time-delay multi-agent systems.”

    Studies from D. Serikbayev East Kazakhstan Technical University Provide New Data on Machine Learning (Application of Machine Learning For Recognizing Surface Welding Defects in Video Sequences)

    28-28页
    查看更多>>摘要:Researchers detail new data in artificial intelligence. According to news originating from D. Serikbayev East Kazakhstan Technical University by NewsRx correspondents, research stated, “The paper offers a solution to the problem of detecting and recognizing surface defects in welded joints that appear during tungsten inert gas welding of metal edges. This problem belongs to the machine vision.”