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    New Machine Learning Findings from University of Washington Described (Efficient Analysis of Composites Manufacturing Using Multi-fidelity Simulation and Probab ilistic Machine Learning)

    116-117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 Seattle, Washi ngton, by NewsRx journalists, research stated, “This paper introduces an innovat ive approach for the efficient analysis of composites manufacturing processes an d phenomena. The method combines low- and high-fidelity simulation schemes with limited amounts of experimental data to train surrogate machine learning (ML) mo dels.” Financial support for this research came from Toray Composite Materials America, Inc. - Italian Minister of Foreign Affairs and INTERNATIONAL COOPERATION (MAECI ).

    Findings on Robotics and Automation Discussed by Investigators at Wuhan Universi ty (Dba-fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment With Mul tiple Sensors for Large-scale Localization and Mapping)

    117-117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 - Robotics a nd Automation have been presented. According to news reporting originating in Wu han, People’s Republic of China, by NewsRx journalists, research stated, “Visual simultaneous localization and mapping (VSLAM) has broad applications, with stat e-ofthe- art methods leveraging deep neural networks for better robustness and a pplicability. However, there is a lack of research in fusing these learning-base d methods with multi-sensor information, which could be indispensable to push re lated applications to large-scale and complex scenarios.” Financial support for this research came from National Key Research and Developm ent Program of China.

    New Machine Learning Study Findings Recently Were Reported by Researchers at Imp erial College London (A Highly Durable and Uv-resistant Graphene-based Knitted T extile Sensing Sleeve for Human Joint Angle Monitoring and Gesture Differentiati on)

    118-118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 Machine Learning. According to news reporting originating from London, United Ki ngdom, by NewsRx correspondents, research stated, “Flexible strain sensors based on textiles have attracted extensive attention owing to their light weight, fle xibility, and comfort when wearing. However, challenges in integrating textile s train sensors into wearable sensing devices include the need for outstanding sen sing performance, long-term monitoring stability, and fast, convenient integrati on processes to achieve comprehensive monitoring.” Financial support for this research came from Advanced Material Lab of the Insti tute of Metal Research.

    Study Results from Dalian University of Technology Update Understanding of Artif icial Intelligence (Prediction Framework of Slope Topographic Amplification On S eismic Acceleration Based On Machine Learning Algorithms)

    119-119页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Artificial Intelligence are present ed in a new report. According to news reporting originating from Dalian, People’ s Republic of China, by NewsRx correspondents, research stated, “Slope topograph ic amplification of peak seismic acceleration leads to more severe seismic damag e to nearby buildings, so its quantitative prediction is required for engineerin g applications. However, prior quantitative studies are fewer and use traditiona l regression methods, which require subjective assumptions and have lower accura cy.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Qilu Hospital of Shandong University Reports Findings in Kidney Cancer (Multimod al data integration using machine learning to predict the risk of clear cell ren al cancer metastasis: a retrospective multicentre study)

    120-121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 Oncology - Kidney Canc er is the subject of a report. According to news reporting originating in Jinan, People’s Republic of China, by NewsRx journalists, research stated, “To develop and validate a predictive combined model for metastasis in patients with clear cell renal cell carcinoma (ccRCC) by integrating multimodal data. In this retros pective study, the clinical and imaging data (CT and ultrasound) of patients wit h ccRCC confirmed by pathology from three tertiary hospitals in different region s were collected from January 2013 to January 2023.”

    Researchers from Carleton University Describe Findings in Robotics (LLMT: A Tran sformer-Based Multi-Modal Lower Limb Human Motion Prediction Model for Assistive Robotics Applications)

    121-121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 out of Ottawa, Canada, by NewsRx editors, researc h stated, “Recognition of human intended motion is key to developing intelligent human-robot interaction (HRI) controllers in assistive devices.” Financial supporters for this research include Natural Sciences And Engineering Research Council of Canada; Create Readi Program.

    University of Twente Reports Findings in Artificial Intelligence (Quality of sci ence journalism in the age of Artificial Intelligence explored with a mixed meth odology)

    122-123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 report. According to news originating from Enschede, Nethe rlands, by NewsRx correspondents, research stated, “Science journalists,traditi onally, play a key role in delivering science information to a wider audience. H owever, changes in the media ecosystem and the science-media relationship are po sing challenges to reliable news production.” Financial support for this research came from European Union’s Horizon 2020 Rese arch and Innovation programme.

    Reports Outline Robotics Study Results from University of Science and Technology China (Fast Temporal Logic Mission Planning of Multiple Robots: a Planning Deci sion Tree Approach)

    122-122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 Hefei, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “This letter d evelops a fast mission planning framework named planning decision tree (PDT), th at can handle large-scale multi-robot systems with temporal logic specifications in real time. Specifically, PDT builds a tree incrementally to represent the ta sk progress.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Researcher from Kunming University of Science and Technology Details Findings in Robotics (Kinematic Parameter Identification and Error Compensation of Industri al Robots Based on Unscented Kalman Filter with Adaptive Process Noise Covarianc e)

    124-124页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on robotics have been presented. Ac cording to news reporting from Kunming, People’s Republic of China, by NewsRx jo urnalists, research stated, “Kinematic calibration plays a pivotal role in enhan cing the absolute positioning accuracy of industrial robots, with parameter iden tification and error compensation constituting its core components.” Funders for this research include National Natural Science Foundation of China; Yunnan Scientific And Technological Projects.

    Study Findings from Vanderbilt University Provide New Insights into Machine Lear ning (Dft and Machine Learning for Predicting Hydrogen Adsorption Energies On Ro cksalt Complex Oxides)

    125-126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 originating from Nashville, Tennessee, by News Rx editors, the research stated, “The prediction of hydrogen adsorption energies on complex oxides by integrating DFT calculations and machine learning is consi dered. In particular, 14 descriptors for electronic and geometric properties eva luation are adapted within a 336 hydrogen adsorption energy dataset created.” Financial support for this research came from Vanderbilt University for the Post doctoral Fellowship.Our news journalists obtained a quote from the research from Vanderbilt Universi ty, “Supervised learning techniques were explored to establish an accurate predi ctive model. With the deep neural network results, a MAE of about 0.06 eV is ach ieved.”