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    Researchers at Leibniz University Report Research in Machine Learning (Damage localisation using disparate damage states via domain adaptation)

    38-39页
    查看更多>>摘要：Researchers detail new data in artificial intelligence. According to news reporting from Sheffield, United Kingdom, by NewsRx journalists, research stated, "A significant challenge of structural health monitoring (SHM) is the lack of labeled data collected from damage states." Funders for this research include Deutsche Forschungsgemeinschaft. The news reporters obtained a quote from the research from Leibniz University: "Consequently, the collected data can be incomplete, making it difficult to undertake machine learning tasks, to detect or predict the full range of damage states a structure may experience. Transfer learning is a helpful solution, where data from (source) structures containing damage labels can be used to transfer knowledge to (target) structures, for which damage labels do not exist. Machine learning models are then developed that generalize to the target structure. In practical applications, it is unlikely that the source and the target structures contain the same damage states or experience the same environmental and operational conditions, which can significantly impact the collected data. This is the first study to explore the possibility of transfer learning for damage localisation in SHM when the damage states and the environmental variations in the source and target datasets are disparate. Specifically, using several domain adaptation methods, this article localizes severe damage states at a target structure, using labeled information from minor damage states at a source structure."
      原文链接:
    • NETL
    • NSTL

    Maastricht University Reports Findings in Artificial Intelligence (Exploring the Promise and Challenges of Artificial Intelligence in Biomedical Research and Clinical Practice)

    39-40页
    查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting from Maastricht, Netherlands, by NewsRx journalists, research stated, "Artificial intelligence (AI) is poised to revolutionize how science, and biomedical research in particular, are done. With AI, problem solving and complex tasks using massive data sets can be performed at a much higher rate and dimensionality level compared to humans." Financial support for this research came from National Institute of General Medical Sciences. The news correspondents obtained a quote from the research from Maastricht University, "With the ability to handle huge data sets and self-learn, AI is already being exploited in drug design, drug repurposing, toxicology, and material identification. AI could also be used in both basic and clinical research in study design, defining outcomes, analyzing data, interpreting findings, and even identifying the most appropriate areas of investigation and funding sources. State-of-the-art AI-based large language models (LLM), such as ChatGPT and Perplexity, are positioned to change forever how science is communicated and how scientists interact with one another and their profession, including post-publication appraisal and critique. Like all revolutions, upheaval will follow and not all outcomes can be predicted, necessitating guardrails at the onset, especially to minimize the untoward impact of the many drawbacks of LLMs, which include lack of confidentiality, risk of hallucinations, and propagation of mainstream albeit potentially mistaken opinions and perspectives. In this review, we highlight areas of biomedical research that are already being reshaped by AI and how AI is likely to impact it further in the near future."
      原文链接:
    • NETL
    • NSTL

    New Androids Study Findings Recently Were Reported by Researchers at University of Science and Technology (Air-chamberbased Soft Six-axis Force/torque Sensor for Human-robot Interaction)

    40-41页
    查看更多>>摘要：Fresh data on Robotics - Androids are presented in a new report. According to news originating from Wuhan, People's Republic of China, by NewsRx correspondents, research stated, "Soft multiaxis force/torque sensors provide safe and precise force interaction. Capturing the complete degree-of-freedom of force is imperative for accurate force measurement with six-axis force/torque (6-F/T) sensors." Financial supporters for this research include National Natural Science Foundation of China (NSFC), International Cooperation Key Program of Hubei Province, Program for HUST Academic Frontier Youth Team.
      原文链接:
    • NETL
    • NSTL
    • IEEE

    University of Ljubljana Researchers Advance Knowledge in Artificial Intelligence (From Dalmatia to the North Sea, and from Stonehenge to Artificial Intelligence)

    41-42页
    查看更多>>摘要：A new study on artificial intelligence is now available. According to news originating from the University of Ljubljana by NewsRx correspondents, research stated, "Vincent Gaffney (born in 1958) is a British archaeologist." The news journalists obtained a quote from the research from University of Ljubljana: "In his 40-year career he has worked as a contract field archaeologist, museum curator, researcher and university professor at both Birmingham and Bradford. His expertise includes landscape archaeology, marine landscapes, remote sensing, GIS, computer visualization and communication. He has been awarded several prizes for his outstanding research achievements, among them the British Archaeological Award for the Best Book (2010) and European Archaeological Heritage Prize of the European Association of Archaeologists (2013), as well as an MBE in 2018, making him a Member of the Most Excellent Order of the British Empire." According to the news reporters, the research concluded: "His close collaboration with Slovene and Croatian archaeology dates from the mid-1980s and is still continuing."
      原文链接:
    • NETL
    • NSTL
    • Univ Ljubljana

    Studies from Ain Shams University Have Provided New Data on Machine Learning (An Optimized Fpga Architecture for Machine Learning Applications)

    42-42页
    查看更多>>摘要：Data detailed on Machine Learning have been presented. According to news reporting originating from Cairo, Egypt, by NewsRx correspondents, research stated, "FPGAs are currently the most suitable hardware accelerators to implement and accommodate the non-stop growth of machine learning applications. This paper presents an FPGA architecture with added posit multipliers that outweigh the current IEEE-754 multipliers in terms of delay and area." Our news editors obtained a quote from the research from Ain Shams University, "Since machine learning algorithms involve a lot of expensive mathematical operations, having such powerful multipliers in the proposed FPGA architecture will execute the needed operations with high efficiency, which will stand out for machine learning applications without compromising other FPGA applications. Experimental results using Verilog to Routing (VTR) on both machine learning and non-machine learning benchmarks have demonstrated that our proposed architecture consumes 10% less area than the Stratix Ⅳ FPGA. Furthermore, it consumes less power compared to both the Stratix Ⅳ and Stratix 10 FPGAs, with reductions of 22% and 10%, respectively."
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    New Findings Reported from Jiangsu University Describe Advances in Robotics and Machine Learning (Porphyrin and Ph Sensitive Dyebased Colorimetric Sensor Array Coupled Chemometrics for Dynamic Monitoring of Tea Quality During ...)

    43-44页
    查看更多>>摘要：Current study results on Robotics and Machine Learning have been published. According to news reporting from Zhenjiang, People's Republic of China, by NewsRx journalists, research stated, "In current work, the response surface methodology using Box-Behnken design was initially used to optimize the fermentation conditions of green tea via consumption rate of tea polyphenol (CROTP) as a response value. The CROTP reached its maximum (25.78 %) when the fermentation pH, ultrasonic time and ultrasonic frequency were set at 5, 15 min and 50 kHz, respectively."
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Research Reports from Wuhan Institute of Technology Provide New Insights into Robotics (Attacking Robot Vision Models Efficiently Based on Improved Fast Gradient Sign Method)

    43-43页
    查看更多>>摘要：Investigators publish new report on robotics. According to news reporting from Wuhan, People's Republic of China, by NewsRx journalists, research stated, "The robot vision model is the basis for the robot to perceive and understand the environment and make correct decisions." Financial supporters for this research include National Natural Science Foundation of China. The news journalists obtained a quote from the research from Wuhan Institute of Technology: "However, the security and stability of robot vision models are seriously threatened by adversarial examples. In this study, we propose an adversarial attack algorithm, RMS-FGSM, for robot vision models based on root-mean-square propagation (RMSProp). RMS-FGSM uses an exponentially weighted moving average (EWMA) to reduce the weight of the historical cumulative squared gradient. Additionally, it can suppress the gradient growth based on an adaptive learning rate. By integrating with the RMSProp, RMS-FGSM is more likely to generate optimal adversarial examples, and a high attack success rate can be achieved."
      原文链接:
    • NETL
    • NSTL
    • Mdpi

    University of Southampton Reports Findings in Machine Learning (Fast hybrid methods for modeling landslide susceptibility in Ardal County)

    44-45页
    查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting from Southampton, United Kingdom, by NewsRx editors, the research stated, "Recently, machine learning models have received huge attention for environmental risk modeling. One of these applications is landslide susceptibility mapping which is a necessary primary step for dealing with the landslide risk in prone areas."
      原文链接:
    • NETL
    • NSTL

    Keywords for this news article include: Education University of Hong Kong, Hong Kong, People's Republic of China, Asia, Artificial Intelligence, Emerging Technologies, Machine Learning.

    45-46页
    查看更多>>摘要：Data detailed on artificial intelligence have been presented. According to news originating from Hong Kong, People's Republic of China, by NewsRx editors, the research stated, "In recent years, with the rapid development of artificial intelligence technology, early childhood artificial intelligence training systems have gradually been applied in the field of education." The news reporters obtained a quote from the research from Education University of Hong Kong: "However, there is still a lack of systematic research and exploration on the ethical issues of artificial intelligence training systems for young children. This study is guided by the child-centered theory and aims to explore the ethics of artificial intelligence training systems for young children, and propose corresponding solutions. Firstly, the development status and ethical issues of artificial intelligence training systems for young children were analyzed through literature review."
      原文链接:
    • NETL
    • NSTL

    Polytechnic University Milan Researcher Highlights Recent Research in Robotics (Bioinspired Design and Experimental Validation of an Aquatic Snake Robot)

    46-47页
    查看更多>>摘要：Current study results on robotics have been published. According to news reporting out of Milan, Italy, by NewsRx editors, research stated, "This article presents the design, simulation, and experimental validation of a novel modular aquatic snake robot capable of surface locomotion." Our news journalists obtained a quote from the research from Polytechnic University Milan: "The modular structure allows each unit to function independently, facilitating ease of maintenance and adaptability to diverse aquatic environments. Employing the material point method with the moving least squares (MPM-MLS) simulation technique, the robot's dynamic behavior was analyzed, yielding reliable results. The control algorithm, integral to the robot's autonomous navigation, was implemented to enable forward propulsion at high speed, steering, and obstacle detection and avoidance. Extensive testing of the aquatic snake robot was conducted, demonstrating its practical viability. The robot showcased promising swimming capabilities, achieving high speeds and maneuverability."
      原文链接:
    • NETL
    • NSTL
    • Mdpi