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 Prague, Czech Republic, by NewsRx journalists, research stated, “Unlike with theenergy, which is a scalar property, machine learning (ML) prediction of vector or tensor prop erties posesthe additional challenge of achieving proper invariance (covariance ) with respect to molecular rotation. Forthe energy gradients needed in molecul ar dynamics (MD), this symmetry is automatically fulfilled whentaking analytic derivative of the energy, which is a scalar invariant (using properly invariant moleculardescriptors).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on robotics and artificial intelligenc e are presented in a new report. According to newsreporting from Patras, Greece , by NewsRx journalists, research stated, “Cyber-physical systems (CPSs)are evo lving from individual systems to collectives of systems that collaborate to achi eve highly complexgoals, realizing a cyber-physical system of systems (CPSoSs) approach. They are heterogeneous systemscomprising various autonomous CPSs, eac h with unique performance capabilities, priorities, and pursuedgoals.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Fujian, People’s Republic of C hina, by NewsRx journalists, research stated, “Soundscapes are animportant part of urban landscapes and play a key role in the health and well-being of citizen s. However,predicting soundscapes over a large area with fine resolution remain s a great challenge and traditionalmethods are time-consuming and require labor ious large-scale noise detection work.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in artificial intelligence. According to news reporting out ofPrinceton, New Jersey, by NewsR x editors, research stated, “Synchrotron observation serves as a toolfor studyi ng magnetic fields in the interstellar medium and intracluster medium, yet its a bility to unveilthree-dimensional (3D) magnetic fields, meaning probing the fie ld’s plane-of-the-sky (POS) orientation,inclination angle relative to the line of sight, and magnetization from one observational data, remainslargely underex plored. Inspired by the latest insights into anisotropic magnetohydrodynamic (MH D)turbulence, we found that synchrotron emission’s intensity structures inheren tly reflect this anisotropy,providing crucial information to aid in 3D magnetic field studies: (i) the structure’s elongation gives themagnetic field’s POS or ientation and (ii) the structure’s anisotropy degree and topology reveal the inclination angle and magnetization.”
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 newsoriginating from Shijiazhuang, People’s Republic of China, by NewsRx correspondents, research stated,“Exploring NO red uction reaction (NORR) electrocatalysts with high activity and selectivity towar d NHis essential for both NO removal and NH synthesis. Due to their superior el ectrocatalytic activities,single-atom alloy (SAA) catalysts have attracted cons iderable attention.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news reporting from theUniversity of Helsinki by NewsR x journalists, research stated, “Several potentially modifiable risk factorsare associated with subjective cognitive decline (SCD). However, developmental patt erns of these riskfactors have not been used before to forecast later SCD.”
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 Cuenca, Ec uador, by NewsRx correspondents, research stated, “In this study,we use feature engineering (FE) strategies to enhance the performance of machine learning (ML) modelsin forecasting runoff and peak runoff. We selected a 300-km2 tropical An dean catchment, representativeof rapid response systems where hourly runoff for ecasting is particularly challenging.”
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 reportingoriginating in Hunan, People’s Repu blic of China, by NewsRx journalists, research stated, “Robotic machiningis fea sible for cutting composites in the field of aviation manufacturing with the ben efit of highflexibility and applicability. Riveting is widely used as an import ant joining technique of aircraft structuresrequiring hole making on CFRP compo sites.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from the State Key Lab oratory by NewsRx correspondents, research stated, “Exploring the‘composition-m icrostructure-property’ relationship is a long-standing theme in materials scien ce. However,complex interactions make this area of research challenging.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting originatingfrom Fuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Tensegrity roboticfish i s an emerging solution in the field of robotic fish, and its dynamic model plays a crucial role in guidingthe improvement of swimming performance. However, the re is a lack of in-depth research in this area.”Funders for this research include National Natural Science Foundation of China ( NSFC), GeneralProgram of Fujian Provincial Science and Technology Department.
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