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    U.S. Army Corps of Engineers Researcher Provides New Study Findings on Machine L earning (Automated Built-Up Infrastructure Land Cover Extraction Using Index Ens embles with Machine Learning, Automated Training Data, and Red Band Texture Layers)

    48-49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 artificial intelligenc e is the subject of a new report. According to news reporting from Alexandria, V irginia, by NewsRx journalists, research stated, “Automated built-up infrastruct ure classification is a global need for planning. However, individual indices ha ve weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive.” Financial supporters for this research include U.S. Army Corps of Engineers; Eng ineer Research And Development Center; Geospatial Research & Engin eering Research & Development Area.

    Reports Summarize Robotics Study Results from University of Warwick (Bayesian le arning for the robust verification of autonomous robots)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on robotics are discussed in a new report. According to news originating from the University of Warwick by News Rx correspondents, research stated, “Autonomous robots used in infrastructure in spection, space exploration and other critical missions operate in highly dynami c environments.” The news editors obtained a quote from the research from University of Warwick: “As such, they must continually verify their ability to complete the tasks assoc iated with these missions safely and effectively. Here we present a Bayesian lea rning framework that enables this runtime verification of autonomous robots. The framework uses prior knowledge and observations of the verified robot to learn expected ranges for the occurrence rates of regular and singular (e.g., catastro phic failure) events. Interval continuous-time Markov models defined using these ranges are then analysed to obtain expected intervals of variation for system p roperties such as mission duration and success probability. We apply the framewo rk to an autonomous robotic mission for underwater infrastructure inspection and repair.”

    Autonomous University Barcelona (UAB) Reports Findings in Kidney Transplants (Pr oposal of a standardized training curriculum for open and robot-assisted kidney transplantation)

    50-50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 Transplant Medicine - Kidney Transplants is the subject of a report. According to news originating fro m Barcelona, Spain, by NewsRx correspondents, research stated, “Standardized tra ining programs for open (OKT) and robot-assisted kidney transplantation (RAKT) r emain unmet clinical needs. To fill this gap, we designed a modified Delphi Cons ensus aiming to propose the first structured surgical curricula for both OKT and RAKT, involving a multispecialty international panel of experts.”

    Researcher at Jiangxi University of Finance and Economics Has Published New Data on Machine Learning (Performance Optimization of Machine Learning Algorithms Ba sed on Spark)

    51-51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 artificial intelligence. According to news reporting out of Jiangxi, People’s Republic of C hina, by NewsRx editors, research stated, “This paper proposes a performance opt imization strategy for Spark-based machine learning algorithms in Shuffle and me mory data management modules.” The news correspondents obtained a quote from the research from Jiangxi Universi ty of Finance and Economics: “The Shuffle module is optimized by introducing Obs erver monitoring module in Spark cluster to achieve task status monitoring and d ynamic ShuffleWrite task generation. Meanwhile, an adaptive caching mechanism fo r RDD data addresses the lack of in-memory data caching.”

    Study Results from Ministry of Education Broaden Understanding of Machine Learni ng (Infield Corn Kernel Detection Using Image Processing, Machine Learning, and Deep Learning Methodologies Under Natural Lighting)

    51-52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 Machine Learning is th e subject of a report. According to news reporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Machine vision h as been increasingly used to address agricultural issues. One such case is corn field harvest losses and image-based object detection approaches, namely image p rocessing, machine learning, and deep learning were investigated to detect and c ount infield corn kernels, immediately after harvest for combine harvester perfo rmance evaluation.”

    Center for Research Reports Findings in Machine Learning (Machine learning predi ctions of T cell antigen specificity from intracellular calcium dynamics)

    52-53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 Machine Learning is th e subject of a report. According to news reporting out of Montreal, Canada, by N ewsRx editors, research stated, “Adoptive T cell therapies rely on the productio n of T cells with an antigen receptor that directs their specificity toward tumo r-specific antigens. Methods for identifying relevant T cell receptor (TCR) sequ ences, predominantly achieved through the enrichment of antigen-specific T cells , represent a major bottleneck in the production of TCR-engineered cell therapies.”

    Findings from Capital University of Economics and Business Advance Knowledge in Artificial Intelligence ('Machine replacement' or 'job creation': How does artif icial intelligence impact employment patterns in China's manufacturing industry? )

    53-54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 from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Artificial intelligence (AI), as an important engine for promoting high-quality economic de velopment, should not be overlooked in terms of its impact on the employment of the labor force while promoting the digital and intelligent transformation of in dustries.”

    Department of Radiology Reports Findings in Vascular Diseases and Conditions (Th e thalamic covariance network is associated with cognitive deficits in patients with cerebral small vascular disease)

    54-55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 Cardiovascular Disease s and Conditions - Vascular Diseases and Conditions is the subject of a report. According to news reporting originating from Sichuan, People’s Republic of China , by NewsRx correspondents, research stated, “Abnormalities in the gray matter s tructure of cerebral small vessel disease (CSVD) have been observed throughout t he brain. However, whether cortico-cortical connections exist between regions of gray matter atrophy in patients with CSVD has not been fully elucidated.” Funders for this research include Health and Family Planning Commission of Sichu an Province, Sichuan Province Science and Technology Support Program, Bureau of Science and Technology Nanchong Municipality.

    Study Results from Department of Electrical Engineering in the Area of Machine L earning Reported (Advances In Materials and Machine Learning Techniques for Ener gy Storage Devices: a Comprehensive Review)

    55-56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 Machine Learning is th e subject of a report. According to news reporting out of Gujarat, India, by New sRx editors, research stated, “The increasing global need for energy supply in m odern society has created a pressing need to explore new materials for renewable energy technologies. However, conventional trial and error methods in materials science are often tedious as well as costly, making it challenging to meet the growing demands.”

    Findings from University of Lisbon Yields New Data on Robotics (The Role of Obje ct Physical Properties In Human Handover Actions: Applications In Robotics)

    56-57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 Robotics are disc ussed in a new report. According to news reporting originating from Lisbon, Port ugal, by NewsRx correspondents, research stated, “Observing how humans interact with each other and how they manipulate objects, offer insight on interaction me chanisms and how these are influenced by the physical properties of the used obj ects. These insights can support a more informed design of robot controllers mea nt to manipulate objects in collaboration with humans.” Financial support for this research came from RBCog-Lab PINFRA/22084/2016, FCT F unding ISRLisboa/ LARSyS LA/P/0083/2020, the CHIST-ERA Program through the Proje ct CORSMAL.