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Robotics & Machine Learning Daily News

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    New Findings from Chinese University of Hong Kong in the Area of Artificial Inte lligence Described (Relevance of hybrid artificial intelligence for improving th e forecasting accuracy of natural resource prices)

    39-40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 out of Chinese University o f Hong Kong by NewsRx editors, research stated, “The prediction performance of t raditional forecasting methods is low due to the high level of complexity in a series of energy prices.”

    National and Kapodistrian University of Athens Reports Findings in Hip Fracture (Restoring Hip Joint Anatomy With the Robotic Arm-Assisted System in Hip Fractur es: Expanding the Applications for Hip Surgery)

    39-39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 Hip Fracture is the su bject of a report. According to news reporting originating in Athens, Greece, by NewsRx journalists, research stated, “Total hip arthroplasty (THA) has improved the life quality of osteoarthritic patients, yet challenges persist. The roboti c arm-assisted system, integrated into THA, aims to refine implant positioning, enhance precision, reduce errors, and restore the hip joint’s anatomy, including hip center, femoral offset, and limb length.”

    Data on Nanodiamonds Reported by Researchers at Zhengzhou University (Reliable a nd Explainable Machine Learning for Charge Transfer/atomic Structure Relationshi ps of Hydrogenated Nanodiamonds)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - Researchers detail new data in Nanotechnology - N anodiamonds. According to news reporting originating from Zhengzhou, People’s Re public of China, by NewsRx correspondents, research stated, “A supervised learni ng model combined with genetic algorithm is proposed to predict charge transfer efficiency of nanodiamonds. The model is chosen among ten models whose parameter s are modified by genetic algorithm with ten -fold cross -validation, ensuring t he accuracy of model.”

    Study Data from BioRobot Institute Provide New Insights into Robotics (Rl-based Adaptive Controller for High Precision Reaching In a Soft Robot Arm)

    41-42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 originating from Pontedera, Italy, by N ewsRx correspondents, research stated, “High precision control of soft robots is challenging due to their stohcastic behavior and material-dependent nature. While RL has been applied in soft robotics, achieving precision in task execution i s still a long way off.”

    Universidad Autonoma de Madrid Reports Findings in Cyanobacteria (Discriminating bloom-forming cyanobacteria using lab-based hyperspectral imagery and machine l earning: Validation with toxic species under environmental ranges)

    42-43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 Gram-Negative Bacteria - Cyanobacteria is the subject of a report. According to news reporting origina ting in Madrid, Spain, by NewsRx journalists, research stated, “Cyanobacteria are major contributors to algal blooms in inland waters, threatening ecosystem fun ction and water uses, especially when toxin-producing strains dominate. Here, we examine 140 hyperspectral (HS) images of five representatives of the widespread , potentially toxin-producing and bloom-forming genera Microcystis, Planktothrix , Aphanizomenon, Chrysosporum and Dolichospermum, to determine the potential of utilizing visible and near-infrared (VIS/NIR) reflectance for their discrimination.”

    Researchers from New York University (NYU) Provide Details of New Studies and Fi ndings in the Area of Androids (Synergistic Functional Muscle Networks Reveal th e Passivity Behavior of the Upper-limb In Physical Human-robot Interaction)

    43-44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 - Androi ds are discussed in a new report. According to news reporting originating in New York City, New York, by NewsRx journalists, research stated, “Utilizing the int rinsic capability of the human upper limb to absorb energy during kinesthetic hu man-robot interaction could allow for improved haptic feedback fidelity and reduce the conservatism of control in pHRI and telerobotic systems. However, estimating this energetic signature is complex.”

    Shizuoka University Researchers Report Research in Robotics (Evaluation of co-sp eech gestures grounded in word-distributed representation)

    44-44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 robotics have been pr esented. According to news reporting originating from Shizuoka, Japan, by NewsRx correspondents, research stated, “The condition for artificial agents to posses s perceivable intentions can be considered that they have resolved a form of the symbol grounding problem.” Funders for this research include Japan Society For The Promotion of Science.

    Report Summarizes Machine Learning Study Findings from Xiamen University (Tell M achine Learning Potentials What They Are Needed For: Simulation-oriented Trainin g Exemplified for Glycine)

    45-45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 out of Fujian, People’s Rep ublic of China, by NewsRx editors, research stated, “Machine learning potentials (MLPs) are widely applied as an efficient alternative way to represent potentia l energy surfaces (PESs) in many chemical simulations. The MLPs are often evalua ted with the root-mean-square errors on the test set drawn from the same distrib ution as the training data.”

    Findings on Machine Learning Discussed by Investigators at Texas Technical Unive rsity (The Importance of Reaction Energy In Predicting Chemical Reaction Barrier s With Machine Learning Models)

    46-47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 Learning have been published. According to news reporting originating from Lubbock, T exas, by NewsRx correspondents, research stated, “Improving our fundamental unde rstanding of complex heterocatalytic processes increasingly relies on electronic structure simulations and microkinetic models based on calculated energy differ ences. In particular, calculation of activation barriers, usually achieved through compute-intensive saddle point search routines, remains a serious bottleneck in understanding trends in catalytic activity for highly branched reaction netwo rks.”

    Data on Robotics Discussed by Researchers at Chinese Academy of Sciences (Motion Learning for Musculoskeletal Robots Based On Cortex-inspired Motor Primitives a nd Modulation)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on Robotics are presented i n a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Musculoskeletal robots have structural advantages of flexibility, robustness, and compliance. However, the control of such musculoskeletal robots is challenging.”