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    Findings from University of Bourgogne Provides New Data on Robotics (Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction)

    96-97页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been presented. According to news reporting out of Dijon, France, by NewsRx editors, research stated, “A fascinating challenge in robotics-human interaction is imitating the emotion recognition capability of humans to robots with the aim to make human-robotics interaction natural, genuine and intuitive. To achieve the natural interaction in affective robots, human- machine interfaces, and autonomous vehicles, understanding our attitudes and opinions is very important, and it provides a practical and feasible path to realize the connection between machine and human.”

    Reports Summarize Robotics Study Results from Northeastern Uni- versity (Sg-grasp: Semantic Segmentation Guided Robotic Grasp Oriented To Weakly Textured Objects Based On Visual Perception Sensors)

    97-98页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting originating in Shenyang, People’s Republic of China, by NewsRx journalists, research stated, “Weakly textured objects are frequently manipulated by industrial and domestic robots, and the most common two types are transparent and reflective objects; however, their unique visual properties present challenges even for advanced grasp detection algorithms. Many existing algorithms heavily rely on depth information, which is not accurately provided by ordinary red-green-blue and depth (RGB-D) sensors for transparent and reflective objects.” Funders for this research include National Natural Science Foundation of China (NSFC), Chunhui Plan Cooperative Project of Ministry of Education, Ministry of Education, China - 111 Project.

    Study Findings from Federal University Espirito Santo Broaden Un- derstanding of Artificial Intelligence (Net Zero Energy Cost Building System Design Based On Artificial Intelligence)

    98-99页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Artificial Intelligence is now available. According to news reporting originating from Vitoria, Brazil, by NewsRx correspondents, research stated, “This paper presents a solution to the energy planning problem in buildings by implementing the net Zero Energy cost Building (nZEcB), a new concept that refers to buildings with zero or almost zero annual energy costs, using Artificial Intelligence (AI) techniques such as bidirectional long short-term memory, ordinary least squares linear regression, K- means, Pearson’s correlation, decision tree, and binary gravitational search algorithm. AI techniques are used to design the optimal structure of a distributed generation system.” Funders for this research include Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ), Fundacao de Amparo a Pesquisa do Estado de Espiritu Santo (FAPES), Netherlands Government, NIH National Institute on Drug Abuse (NIDA).

    Findings on Machine Learning Reported by Investigators at North- western Polytechnic University (Descriptors for Phase Prediction of High Entropy Alloys Using Interpretable Machine Learning)

    99-100页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Phase prediction enables the rational design of high entropy alloys from a practically infinite unexplored space. However, the reliable and efficient prediction of phases remains a challenge.” Funders for this research include National Key Research and Development Program of China, National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Chongqing.

    Data on Machine Translation Published by Researchers at Universi- tas Islam Negeri Sumatera Utara (Technology Trends in Translation: A Comparative Analysis of Machine and Human Translation)

    100-100页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on machine translation. According to news originating from the Universitas Islam Negeri Sumatera Utara by NewsRx editors, the research stated, “The devel- opment of translation technology, whether through machines or humans, has created a new paradigm in cross-language information exchange.” The news reporters obtained a quote from the research from Universitas Islam Negeri Sumatera Utara: “This research aims to carry out a comparative analysis between translation results produced by machine translation systems and human translations. The method used in this research is qualitative in a compre- hensive literature review aimed at understanding the latest developments in translation technology, with a particular focus on comparing machine and human translation. The data collection technique is through a literature review system from the study of scientific articles and data analysis using a qualitative approach. The results show that comparisons between machine and human translation involve careful assessment of each method’s accuracy, consistency, and flexibility. While machine translation excels in speed and consistency, human translation provides advantages in terms of depth of accuracy and greater flexibility.”

    Study Findings on Artificial Intelligence Discussed by Researchers at University of Information Technology and Communications (Ar- tificial Intelligence in Identifying or Mitigating Threats in Internet of Things)

    101-101页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial intelligence have been published. According to news reporting originating from Baghdad, Iraq, by NewsRx correspondents, research stated, “The Internet of Things (IoT) is generally acknowledged as a dramatic change spearheaded by scientists and business executives.” The news editors obtained a quote from the research from University of Information Technology and Communications: “The IoT has the potential to improve our daily lives by connecting smart devices to the internet. Due to the limited resources and distant deployment of these IoT devices, securing them is a significant challenge today. This paper focuses primarily on mitigating threats and attacks on realistic artificial intelligence, such as network architecture for smart devices. The text on mitigating attacks in networks, especially those involving mobile nodes, is discussed. We develop and test a new countermeasure against all mitigated attack variants. The proposed approach combines node location and trust-based parent selection.”

    Researchers from Tianjin University Detail Findings in Machine Learning (Prediction of Nitrogen Solubility In Ionic Liquids By Ma- chine Learning Methods Based On Cosmo-derived Descriptors)

    101-102页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “The inertness of nitrogen (N2) results in extremely low N2 solubility in most solvents. However, in some important reactions, such as the nitrogen reduction reaction (NRR) driven by light or electrical energy, sufficient N2 feedstock in electrolyte allows the reaction to proceed more smoothly.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Key Research and Development Program of China, CAS Project for Young Scientists in Basic Research, State Key Laboratory of Mesoscience and Engineering.

    National University of Singapore Reports Findings in Antibiotics (Using Machine Learning to Predict the Antibacterial Activity of Ruthenium Complexes)

    102-103页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Antibiotics is the subject of a report. Accord- ing to news reporting originating from Singapore, Singapore, by NewsRx correspondents, research stated, “Rising antimicrobial resistance (AMR) and lack of innovation in the antibiotic pipeline necessitate novel approaches to discovering new drugs. Metal complexes have proven to be promising antimicrobial com- pounds, but the number of studied compounds is still low compared to the millions of organic molecules investigated so far.” Our news editors obtained a quote from the research from the National University of Singapore, “Lately, machine learning (ML) has emerged as a valuable tool for guiding the design of small organic molecules, potentially even in low-data scenarios. For the first time, we extend the application of ML to the discovery of metal-based medicines. Utilising 288 modularly synthesized ruthenium arene Schiff-base complexes and their antibacterial properties, a series of ML models were trained. The models perform well and are used to predict the activity of 54 new compounds. These displayed a 5.7x higher hit-rate (53.7 %) against methicillin-resistant Staphylococcus aureus (MRSA) compared to the original library (9.4 %), demonstrating that ML can be applied to improve the success-rates in the search of new metalloantibiotics.” According to the news editors, the research concluded: “This work paves the way for more ambitious applications of ML in the field of metal-based drug discovery.” This research has been peer-reviewed.

    Investigators from School of Management Report New Data on Robotics (How Does Work Autonomy In Human-robot Collabora- tion Affect Hotel Employees' Work and Health Outcomes? Role of Job Insecurity and Person-job Fit)

    103-104页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news originating from Heilongjiang, People’s Republic of China, by NewsRx correspondents, research stated, “Based on the conservation of resources theory, this study examines the mechanism of work autonomy in humanrobot col- laboration on hotel employees’ service innovation behaviour and insomnia, and explores the mediating role of job insecurity and the moderating role of person-job fit. This study conducted a two-stage, multisource questionnaire survey among hotel industry employees and managers.”

    Lister Hospital Reports Findings in Nephrectomy (Concordance be- tween renal tumour biopsy and robotic-assisted partial and radical nephrectomy histology: a 10-year experience)

    104-105页
    查看更多>>摘要:2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Nephrectomy is the subject of a report. According to news reporting out of Stevenage, United Kingdom, by NewsRx editors, research stated, “We aimed to assess concordance between renal tumour biopsy (RTB) and surgical pathology from robotic-assisted partial nephrectomy (RAPN) or robotic-assisted radical nephrectomy (RARN). Patients with preoperative RTB undergoing RAPN or RARN for suspected malignancy (9 September 2013-9 September 2023) were enrolled retrospectively from three sites.”