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    Findings from University of Warwick Provide New Insights into Machine Learning ( Resilient Machine Learning: Advancement, Barriers, and Opportunities In the Nucl ear Industry)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news reportingoriginating in Coventry, Unit ed Kingdom, by NewsRx journalists, research stated, “The widespreadadoption and success of Machine Learning (ML) technologies depend on thorough testing of the resilienceand robustness to adversarial attacks. The testing should focus on b oth the model and the data.”

    New Robotics Study Findings Recently Were Reported by Researchers at Louisiana S tate University (3d Printed Sulfur-regolith Concrete Performance Evaluation for Waterless Extraterrestrial Robotic Construction)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news originatingfrom Baton Rouge, Louisiana, by N ewsRx correspondents, research stated, “By leveraging the capabilitiesof constr uction 3D printing, building structures in harsh extraterrestrial environments i s conceivable.Sulfur concrete is a waterless construction material that offers great potential to replace Portland cementconcrete (PCC) in extraterrestrial co nstruction.”

    Findings from Fudan University Broaden Understanding of Robotics and Automation (Pngor: a Novel Guaranteed Outlier Removal Method Ensuring Robust Rotation Estim ation From Planar Normals)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news reporting originating in Sha nghai, People’s Republic of China, by NewsRx journalists, researchstated, “In t his letter, we propose a guaranteed outlier removal method based on computationa l geometryconsistency checks, named PNGOR, effectively leveraging planar normal s from 3D scenes to estimaterotation. The challenge of estimating rotation can be conceptualized as a maximum consensus problemand we address it by approximat ing the computation through the resolution of subproblems associatedwith each p lane correspondence.”

    Researchers from University of Bonn Detail Findings in Robotics (Deep Reinforcem ent Learning With Dynamic Graphs for Adaptive Informative Path Planning)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting out ofBonn, Germany, by NewsRx editors, res earch stated, “Autonomousrobots are often employed for datacollection due to th eir efficiency and low labour costs. A key task in robotic data acquisition is p lanningpaths through an initially unknown environment to collect observations g iven platform-specific resourceconstraints, such as limited battery life.”

    Study Data from Chinese Academy of Sciences Update Knowledge of Machine Learning (An Optimal Weighted Ensemble Machine Learning Approach To Accurate Estimate th e Coastal Boundary Layer Height Using Era5 Multi-variables)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated,“The coast al boundary layer height (CBLH/Coastal-BLH) is critical in determining the excha nge of heat,momentum, and materials between the land and ocean, thereby regulat ing the local climate and weatherchange. However, due to the complexity of geog raphical characteristics and meteorological conditions,accurate estimation of t he CBLH remains challenging.”

    Recent Findings from North Carolina State University (NC State) Provides New Ins ights into Robotics (Encapsulated Stretchable Amphibious Strain Sensors)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originatingfrom Raleigh, North Carolina, by NewsRx correspondents, research stated, “Soft and stretchable strainsensors ha ve found wide applications in health monitoring, motion tracking, and robotic se nsing. Thereis a growing demand for strain sensors in amphibious environments, such as implantable sensors, wearablesensors for swimmers/divers, and underwate r robotic sensors.”

    Investigators at Texas A&M University Describe Findings in Machine Learning (Deciphering Chemical Ordering In High Entropy Materials: a Machine Lea rning-accelerated High-throughput Cluster Expansion Approach)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in College Stat ion, Texas, by NewsRx journalists, research stated, “The Cluster Expansion(CE) Method encounters significant computational challenges in multicomponent systems due tothe computational expense of generating training data through density fu nctional theory (DFT) calculations.This work aims to refine the cluster and str ucture selection processes to mitigate these challenges.”

    Studies in the Area of Machine Learning Reported from Wuhan University (Predicti ng Existing Tunnel Deformation From Adjacent Foundation Pit Construction Using H ybrid Machine Learning)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Wuhan, People’s Repu blic of China, by NewsRx correspondents, research stated, “Toaccurately predict the existing tunnel deformation from adjacent foundation pit construction (AFPC ),a hybrid prediction framework based on random forest recursive feature elimin ation and the Bayesianoptimization natural gradient boosting algorithm (RF-RFE- BO-NGBoost) is presented in this paper.”

    Sorbonne Universite Reports Findings in Machine Learning (A New Route to the Pre biotic Synthesis of Glycine via Ab Initio-Based Machine Learning Calculations)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Paris, France, by NewsRx journalists, research stated, “In this work, we study thesynthesis o f glycine, the simplest amino acid, using molecular dynamics and enhanced sampli ng techniquesto explore and quantify novel potential pathways. Our protocol int egrates state-of-the-art machine learningapproaches, allowing us to sample rele vant chemical spaces more efficiently.”

    Researcher at Sichuan University Publishes Research in Machine Learning (A Time- Series Model of Gated Recurrent Units Based on Attention Mechanism for Short-Ter m Load Forecasting)

    76-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting originatingfrom Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Accurateshort-t erm load data is foundational for rigorous research and policy formulation.”