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    Aristotle University of Thessaloniki Reports Findings in Machine Learning (Harne ssing machine learning for efficient large-scale interatomic potential for silde nafil and pharmaceuticals containing H, C, N, O, and S)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating in Thessaloniki, Greece, by NewsRx journalists, research stated, “In this study a cutting-edge approach to p roducing accurate and computationally efficient interatomic potentials using mac hine learning algorithms is presented. Specifically, the study focuses on the ap plication of Allegro, a novel machine learning algorithm, running on high-perfor mance GPUs for training potentials.” Financial support for this research came from European Cooperation in Science an d Technology.

    New Findings in Robotics Described from Shenzhen University (Adoption of Bionic Soft Robots In Organizations: the Role of Information Disclosure and Government Support)

    39-40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 Robotics is now availab le. According to news reporting from Shenzhen, People’s Republic of China, by Ne wsRx journalists, research stated, “Bionic soft robots (BSRs) present notable be nefits in their versatility, adaptability, and seamless integration across vario us sectors and societal contexts. However, the widespread adoption of these robo ts is impeded by regulatory obstacles, sustainability concerns, a shortage of ex haustive research, and inadequate support systems.”

    Department of Computer Science and Engineering Reports Findings in Boltzmann Mac hines (Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Boltzmann Machines is the subject of a report. According to news reporting originating from Lisbon, Portugal, by NewsRx correspondents, research stated, “It is generally assumed that the brain uses something akin to sparse distributed representations. These representations , however, are high-dimensional and consequently they affect classification perf ormance of traditional Machine Learning models due to the ‘curse of dimensionali ty’.”

    Findings from Technical University Darmstadt (TU Darmstadt) Provide New Insights into Machine Learning (Unraveling impacts of polycrystalline microstructures on ionic conductivity of ceramic electrolytes by computational homogenization and ...)

    41-42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 reporting out of Darmstadt, German y, by NewsRx editors, research stated, “The ionic conductivity at the grain boun daries (GBs) in oxide ceramics is typically several orders of magnitude lower th an that within the grain interior. This detrimental GB effect is the main bottle neck for designing high-performance ceramic electrolytes intended for use in sol id-state lithium-ion batteries, fuel cells, and electrolyzer cells.”

    Anhui University of Science and Technology Reports Findings in Robotics (Researc h on improved YOLOV7-SSWD digital meter reading recognition algorithms)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Robotics is the subject of a repo rt. According to news reporting from Anhui, People’s Republic of China, by NewsR x journalists, research stated, “Meter reading recognition is an important link for robots to complete inspection tasks. To solve the problems of low detection accuracy and inaccurate localization of current meter reading recognition algori thms, the YOLOV7-SSWD (YOLOV7- SiLU-SimAM-Wise-IoU-DyHeads) model is proposed, a novel detection model based on the multi-head attention mechanism, which is impr oved on the YOLOV7-Tiny model.”

    University of Naples Federico II Reports Findings in Prostatectomy (Predictive f actors of hemoglobin drop after robot-assisted radical prostatectomy: a single c enter prospective study)

    43-44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 Surgery - Prostatectom y is the subject of a report. According to news reporting out of Naples, Italy, by NewsRx editors, research stated, “Robotic surgery provides precise control, a llowing for optimal dissection and cutting of tissues while minimizing bleeding. However, a significant drop in hemoglobin (Hb) after robot-assisted radical pro statectomy (RARP) is often recorded.”

    Studies from Changchun University of Technology Further Understanding of Intelli gent Systems (Adaptive Dynamic Programmingbased Multi-fault Tolerant Control of Reconfigurable Manipulator With Input Constraint)

    44-45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 Machine Learning - Intelligent Systems. According to news reporting out of Changchun, P eople’s Republic of China, by NewsRx editors, research stated, “In this paper, a multi-fault tolerant controller considering actuator saturation is proposed. Ba sed on the adaptive dynamic programming(ADP) algorithm, the fault tolerant contr ol of the reconfigurable manipulator with sensor and actuator faults are carried out.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Science and Technology Development Plan of Jilin Province.

    Study Findings from Hunter College Update Knowledge in Machine Learning (Assessi ng Data Preparation and Machine Learning for Tree Species Classification Using H yperspectral Imagery)

    45-46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 artificial intelligen ce have been presented. According to news reporting originating from New York Ci ty, New York, by NewsRx correspondents, research stated, “Tree species classific ation using hyperspectral imagery shows incredible promise in developing a large -scale, high-resolution model for identifying tree species, providing unpreceden ted details on global tree species distribution.” Funders for this research include Nasa.

    Reports Summarize Androids Study Results from University of California (Overtrus t in AI Recommendations About Whether or Not to Kill: Evidence from Two Human-Ro bot Interaction Studies)

    46-47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 androids are disc ussed in a new report. According to news originating from the University of Cali fornia by NewsRx correspondents, research stated, “This research explores prospe ctive determinants of trust in the recommendations of artificial agents regardin g decisions to kill, using a novel visual challenge paradigm simulating threat-i dentification (enemy combatants vs. civilians) under uncertainty.” Funders for this research include Air Force Office of Scientific Research.

    Findings from Boston Children’s Hospital Yields New Findings on Machine Learning (A Machine Learning Algorithm Predicting Risk of Dilating Vur Among Infants Wit h Hydronephrosis Using Utd Classification)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Boston, Massachusetts, by NewsRx correspondents, research stated, “Urinary Tract Dilation (UTD) classification ha s been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specif ic anomalies such as vesico-ureteral reflux (VUR), management recommendations te nd to be subjective.”