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    Findings from Aarhus University Yields New Findings on Artificial Intelligence ( How Artificial Intelligence Will Revolutionize Management Studies: a Savagean Pe rspective)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intell igence are discussed in a new report. According to news reporting originating fr om Aarhus, Denmark, by NewsRx editors, the research stated, “Artificial intellig ence (AI) will profoundly impact management studies. This has become apparent, e specially post the ChatGPT hype.” Our news editors obtained a quote from the research from Aarhus University, “Thi s influence expands beyond the domain of management itself, extending into the r esearch process. What shape will this take? This essay aims to give an initial a ssessment. Building upon Savage’s dichotomy of small worlds and the grand world, this essay evaluates which scientific insights necessitate genuine creativity, thereby surpassing the current capabilities of AI, and which do not demand such ingenuity. To accomplish this, an examination of prevalent research formats-quan titative and qualitative empirical research, literature reviews, and conceptual research-will be conducted. The findings suggest that as AI matures, it is expec ted to assume a substantial part of prior research. This prospective transformat ion holds the potential to elevate knowledge creation by enabling a deeper explo ration of theory development and application-areas where human involvement remai ns indispensable.”

    Studies from Southeast University Provide New Data on Robotics (Hydrodynamics of surface standing-and-walking behavior via a novel pectoral fin compound motion in dolphins)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subjec t of a new report. According to news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “To break the spatial moti on barrier for underwater robots, this paper chooses the dolphin as a bionic obj ect and tries a method to realize its surface standing-and-walking (SAW) behavio r.” Funders for this research include National Natural Science Foundation of China; State Key Laboratory of Robotics And System.

    Studies from Technical University Munich (TU Munich) Have Provided New Data on M achine Learning (Occupancy Modeling On Non-intrusive Indoor Environmental Data T hrough Machine Learning)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Munich, Germany, by NewsRx correspondents, research stated, “The primary drivers of energy consumpti on within buildings are the occupants. Non-intrusive Internet of Things (IoT) te chnology can be utilized to detect occupancy and optimize energy performance whi le preserving the privacy of building occupants.” Financial support for this research came from German Federal Ministry for Econom ic Affairs and Climate Action (BMWK).

    Researchers from Hunan University Discuss Findings in Robotics (A Method of Robo t Picking Citrus Based On 3d Detection)

    13-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Hunan, People’s Republic of China, by NewsRx correspondents, research stated, “It is important to monitor the maturit y of citrus fruits during the growth period by using deep learning to implement visual detection technology to identify their state of ripeness in their natural environment. The problem is that the ripeness of citrus fruits is mainly judged manually, and there is a lack of fast and accurate automatic detection methods for citrus fruit ripeness.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Reports Outline Artificial Intelligence Study Results from Karlstad University ( Primary School Students’ Perceptions of Artificial Intelligence - for Good or Ba d)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial In telligence have been published. According to news reporting out of Karlstad, Swe den, by NewsRx editors, the research stated, “Since the end of 2022, global disc ussions on Artificial Intelligence (AI) have surged, influencing diverse societa l groups, such as teachers, students and policymakers. This case study focuses o n Swedish primary school students aged 11-12.” Financial support for this research came from Karlstad University.

    Research from Universitas Jenderal Soedirman in the Area of Support Vector Machi nes Described [Comparison Of Facies Estimation Using Support Vector Machine (SVM) And K-Nearest Neighbor (KNN) Algorithm Based On Well Log Da ta]

    14-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in . According to news reporting out of Purwokerto, Indonesia, by NewsRx editors, research sta ted, “Facies classification is the process of identifying rock lithology based o n indirect measurements such as well log measurements.” The news journalists obtained a quote from the research from Universitas Jendera l Soedirman: “The facies classified manually by experienced geologists, so it ta kes a long time and is less efficient. Machine learning applications in facies c lassification can increase the effectiveness and efficiency of geophysical inter pretation on complex data. The purpose of this study is to examine the applicati on of machine learning algorithms SVM and KNN in facies estimation.”

    Data from Guizhou Education University Advance Knowledge in Support Vector Machi nes (Structured Support Vector Machine With Coarse-to-fine Patchmatch Filtering for Stereo Matching)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Support Vector Machines have been published. According to news originating from Guiyang, People’s Republ ic of China, by NewsRx correspondents, research stated, “In the past decades, a variety of learning-based algorithms have been emerged to try to explore a bette r solution for stereo matching by leveraging various machine learning algorithms . For enriching learning-based stereo matching algorithm’s methodologies, we cas t the disparity estimation as a regression problem by leveraging Structured Supp ort Vector Machine (SSVM) in this paper.” Funders for this research include Guizhou Provincial Science and Technology Proj ects, Guizhou Provincial BasicResearch Program, Science and Technology Program o f GuiYang.

    Researchers from Swiss Federal Institute of Technology Zurich (ETH) Discuss Find ings in Artificial Intelligence (A survey on students’ use of AI at a technical university)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from the Swiss Federal Institute of Technology Zurich (ETH) by NewsRx correspondents, research stated, “We repor t the results of a 4800-respondent survey among students at a technical universi ty regarding their usage of artificial intelligence tools, as well as their expe ctations and attitudes about these tools.” The news editors obtained a quote from the research from Swiss Federal Institute of Technology Zurich (ETH): “We find that many students have come to differenti ated and thoughtful views and decisions regarding the use of artificial intellig ence. The majority of students wishes AI to be integrated into their studies, an d several wish that the university would provide tools that are based on reliabl e, university-level materials. We find that acceptance of and attitudes about ar tificial intelligence vary across academic disciplines.”

    Findings from New York University (NYU) Broaden Understanding of Machine Learnin g (Using Machine Learning To Predict Axial Pile Capacity)

    17-18页
    查看更多>>摘要: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 reporting from Brooklyn, New York, by NewsRx journ alists, research stated, “Accurate estimation of the ultimate axial load bearing capacity of piles is necessary to ensure the safety of the supported structures and to prevent cost overruns. Traditional mechanics-based design methods do not always predict pile capacity accurately, or precisely, leaving room for improve ment.” Financial support for this research came from Institute of Design and Constructi on Foundation.

    Studies from University of North Carolina Further Understanding of Machine Learn ing (Machine Learning Enabled Microneedle-based Colorimetric Ph Sensing Patch fo r Wound Health Monitoring and Meat Spoilage Detection)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Raleigh, North Carolina, by Ne wsRx journalists, research stated, “Since pH can alter the biological functions, level of nutrients, wound healing process, and the behavior of chemicals, vario us healthcare and food industries are showing increased interest in manufacturin g low-cost optical pH sensors for meat spoilage detection and wound health monit oring. To meet this demand, we have developed a simple and low-cost machine lear ning-enabled microneedle-based colorimetric pH sensing patch that can be used fo r food quality and wound health monitoring applications.” Financial support for this research came from National Science Foundation (NSF).