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    Studies Conducted at China Jiliang University on Robotics Recently Reported (Pat h Planning of a 6-dof Measuring Robot With a Direction Guidance Rrt Method)

    28-29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 Robotics have been published. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “The path planning of a measurin g robot is critical to automatic measurement, but it is hard to solve a global o ptimal path solution when it comes to scanning a complex body with many obstacle s. To overcome this problem, a direction guidance Rapidly-exploring Random Tree algorithm (DG_RRT) is proposed.”

    Technical University Valencia (TU Valencia) Researcher Provides New Insights int o Artificial Intelligence (Exploring the Relationship between the Coverage of AI in WIRED Magazine and Public Opinion Using Sentiment Analysis)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Valencia, Spain, by NewsRx correspondents, research stated, “The presence and significance of artificial intelligence (AI) technology in society have been steadily increa sing since 2000. While its potential benefits are widely acknowledged, concerns about its impact on society, the economy, and ethics have also been raised.”

    New Machine Learning Research Reported from University of Texas San Antonio (Hou sing Perceptions and Code Enforcement: An Assessment of Demolition Orders Using Street View Imagery and Machine Intelligence)

    30-31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 originating from the Uni versity of Texas San Antonio by NewsRx editors, the research stated, “The rapid growth of U.S.” Our news editors obtained a quote from the research from University of Texas San Antonio: “Sunbelt cities has intensified urban development pressures. Low-incom e housing demolitions are a result of such pressures as they are “low hanging fr uit” for urban renewal, which can be further intensified by housing quality perc eptions.”

    Study Findings from Purdue University Broaden Understanding of Symmetric Cryptol ogy (Building PRFs from TPRPs: Beyond the Block and the Tweak Length Bounds)

    31-32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 symmetric cryptology have been presented. According to news reporting out of West Lafayette, Indiana, by NewsRx editors, research stated, “A secure n-bit tweakable block cipher (TBC ) using t-bit tweaks can be modeled as a tweakable uniform random permutation, w here each tweak defines an independent random n-bit permutation. When an input t o this tweakable permutation is fixed, it can be viewed as a perfectly secure t- bit random function.”

    Researchers from University of Chemistry and Technology Prague Detail Findings i n Robotics (Spray Drying Robot for Highthroughput Combinatorial Fabrication of Multicomponent Solid Dispersions)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Robotics is now available. Accordi ng to news reporting from Prague, Czech Republic, by NewsRx journalists, researc h stated, “During the development of pharmaceutical spray-dried formulations, ma ny samples must be prepared for physico-chemical characterisation and dissolutio n testing by systematically varying parameters such as drug loading or the grade s and ratios of excipients (polymers, surfactants, etc.). When spray drying from organic solvents in a traditional laboratory set-up, the process must be stoppe d after producing each sample and then restarted, which makes combinatorial expl oration of the formulation design space rather time-consuming.”

    New Robotics Study Findings Recently Were Published by a Researcher at Dalian Ma ritime University (A Review of Underwater Robot Localization in Confined Spaces)

    33-34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 reporting from Dalian, People’s Republic of China, by NewsRx journalists, research stated, “Underwater robots often encount er the influence of confined underwater environments during underwater explorati on.” Financial supporters for this research include National Natural Science Foundati on of China; Fundamental Research Funds For The Central Universities; National K ey Research And Development Program; Ministry of Industry And Information Techno logy’s High-tech Ship Project.

    New Machine Learning Research from Tianjin University Discussed (A new approach based on machine learning to certain diseases)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Never in history is the importance of data science so emphasized in modern society.”

    Researchers from Xiamen University Report Recent Findings in Machine Learning (A pplication of Physics-informed Machine Learning for Excavator Working Resistance Modeling)

    35-36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 reporting originating from Xiamen, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Accurate m easurement of the working resistance encountered during excavation plays a vital role in improving production efficiency, reducing energy consumption, and enabl ing intelligent capabilities in excavators. To address the challenges of the ina ccurate measurement of working resistance, we present a novel method for measuri ng excavator working resistance based on physics-informed machine learning (PIML ).”

    University of North Carolina Researcher Publishes New Data on Robotics (Explorin g the Use of Socially Assistive Robot Among Socially Isolated Korean American Ol der Adults)

    35-35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 robotic s. According to news reporting from Charlotte, North Carolina, by NewsRx journal ists, research stated, “This pilot study explored whether a socially assistive r obot (SAR) would have positive effects on Korean American immigrant older adults ’ health behaviors and emotional well-being and whether the older adults would b e receptive to the SAR.” Financial supporters for this research include Unc Charlotte Faculty Research Gr ant; National Research Foundation of Korea; Ministry of Education of The Republi c of Korea.

    Reports from Northwestern University Provide New Insights into Machine Learning (Accelerating Phase-field Simulation of Threedimensional Microstructure Evoluti on In Laser Powder Bed Fusion With Composable Machine Learning Predictions)

    36-37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 Ma chine Learning. According to news reporting originating from Evanston, Illinois, by NewsRx correspondents, research stated, “Phase-field (PF) modeling is a vers atile physics-based computational method that has been used to simulate the evol ution of microstructures. The PF method can produce accurate microstructures but suffers from a high computational cost, limiting its use in length scales relev ant to additive manufacturing.”