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 ar tificial intelligence.According to news reporting out of Barcelona,Spain,by N ewsRx editors,research stated,"Nowadays,hydropower plants are being used to c ompensate for the variable power produced by the new fluctuating renewable energ y sources,such as wind and solar power,and to stabilise the grid." Our news correspondents obtained a quote from the research from Universitat Poli tecnica de Catalunya (UPC):"Consequently,hydraulic turbines are forced to work more often in off-design conditions,far from their best efficiency point.This new operation strategy increases the probability of erosive cavitation and of h ydraulic instabilities and pressure fluctuations that increase the risk of fatig ue damage and reduce the life expectancy of the units.To monitor erosive cavita tion and fatigue damage,acoustic emissions induced by very-high-frequency elast ic waves within the solid have been traditionally used.Therefore,acoustic emis sions are becoming an important tool for hydraulic turbine failure detection and troubleshooting.In particular,artificial intelligence is a promising signal a nalysis research hotspot,and it has a great potential in the condition monitori ng of hydraulic turbines using acoustic emissions as a key factor in the digital isation process.In this paper,a brief introduction of acoustic emissions and a description of their main applications are presented."
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 ro botics.According to news originating from Saitama University by NewsRx editors,the research stated,"Haptic interfaces and virtual reality (VR) technology hav e been increasingly introduced in rehabilitation,facilitating the provision of various feedback and task conditions." Financial supporters for this research include Bilateral Mobility Grant Programm e; Ministry of Education; Science And Sport,Republic of Slovenia; Javna Agencij a Za Raziskovalno Dejavnost Rs.The news reporters obtained a quote from the research from Saitama University:" However,correspondence between the feedback/task conditions and movement strate gy during reaching tasks remains a question.To investigate movement strategy,w e assessed velocity parameters and peak latency of electromyography.Ten neuromu scularly intact volunteers participated in the measurement using haptic interfac e and VR.Concurrent visual feedback and various terminal feedback (e.g.,visual,haptic,visual and haptic) were given.Additionally,the object size for the r eaching task was changed.The results demonstrated terminal haptic feedback had a significant impact on kinematic parameters; showed $0.7\,\pm {\,1.4} $ s ( $p\,<.05$ ) shorter movement time and $0.01\,\pm {\,0.08} $ m/s ( $p\,<.05$ ) higher mean velocity compared to no terminal feedback."
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 Nanjing,People 's Republic of China,by NewsRx correspondents,research stated,"Text generatio n is an essential research area in artificial intelligence (AI) technology and n atural language processing and provides key technical support for the rapid deve lopment of AI-generated content (AIGC).It is based on technologies such as natu ral language processing,machine learning,and deep learning,which enable learn ing language rules through training models to automatically generate text that m eets grammatical and semantic requirements." Funders for this research include National Natural Science Foundation of China ( NSFC),Consulting Project of Chinese Academy of Engineering,Major Project of th e National Social Science Fund of China,Fundamental Research Funds for the Cent ral Universities.Our news journalists obtained a quote from the research from Southeast Universit y,"In this paper,we sort and systematically summarize the main research progre ss in text generation and review recent text generation papers,focusing on pres enting a detailed understanding of the technical models.In addition,several ty pical text generation application systems are presented.Finally,we address som e challenges and future directions in AI text generation."
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 originating in Wageningen,Netherlands,by NewsRx journalists,research stated,"Machine learning presents opportunities for tracking evidence on climate change adaptation,including text -based methods from natural language processing.In theory,such tools can analy se more data in less time,using fewer resources and with less risk of bias." Financial supporters for this research include Natural Environment Research Coun cil (NERC),UK Natural Environment Research Council (Panorama DTP),European Res earch Council under the European Union's Horizon 2020 Research and Innovation pr ogramme (GENIE Project).The news reporters obtained a quote from the research from Wageningen University,"However,the first generation of adaptation studies have delivered only proof of concepts.Reviewing these first studies,we argue that future efforts should focus on creating more diverse datasets,investigating concrete hypotheses,fos tering collaboration and promoting ‘machine learning literacy',including unders tanding bias.More fundamentally,machine learning enables a paradigmatic shift towards automating repetitive tasks and makes interactive ‘living evidence' plat forms possible.Broadly,the adaptation community is failing to prepare for this shift.Flagship projects of organizations such as the IPCC could help to lead t he way.This Perspective evaluates efforts using machine learning to track globa l progress on adaptation,focusing on recent efforts in text analysis.It discus ses practical and theoretical challenges,lessons learned and ways forward."
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 Robotics have been published.According to news reporting originating in Harbin,People's Rep ublic of China,by NewsRx journalists,research stated,"Compared with tradition al rigid objects' dynamic throwing and catching by the robot,the in-flight traj ectory of nonrigid objects (incredibly variable centroid objects) throwing is mo re challenging to predict and track.This article proposes a variable centroid t rajectory tracking network (VCTTN) with the fusion of vision and force informati on by introducing force data of throw processing to the vision neural network." Financial support for this research came from National Natural Science Foundatio n of China (NSFC).The news reporters obtained a quote from the research from the Harbin Institute of Technology,"The VCTTN-based model-free robot control system is developed to perform highly precise prediction and tracking with a part of the in-flight visi on.The flight trajectories dataset of variable centroid objects generated by th e robot arm is collected to train VCTTN." According to the news reporters,the research concluded:"The experimental resul ts show that trajectory prediction and tracking with the vision-force VCTTN is s uperior to the ones with the traditional vision perception and has an excellent tracking performance." This research has been peer-reviewed.
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 artific ial intelligence.According to news reporting originating from Ioannina,Greece,by NewsRx correspondents,research stated,"AliAmvra is a project developed to explore and promote high-quality catches of the Amvrakikos Gulf (GP) to Artas' w ider regions.In addition,this project aimed to implement an integrated plan of action to form a business identity with high added value and achieve integrated business services adapted to the special characteristics of the area." Our news journalists obtained a quote from the research from University of Ioann ina:"The action plan for this project was to actively search for new markets,c reate a collective identity for the products,promote their quality and added va lue,engage in gastronomes and tasting exhibitions,dissemination and publicity actions,as well as enhance the quality of the products and markets based on the customer needs.The primary focus of this study is to observe and analyze the d ata retrieved from various tasting exhibitions of the AliAmvra project,with a t arget goal of improving customer experience and product quality.An extensive an alysis was conducted for this study by collecting data through surveys that took place in the gastronomes of the AliAmvra project.Our objective was to conduct two types of reviews,one focused in data analysis and the other on evaluating m odel-driven algorithms.Each review utilized a survey with an individual structu re,with each one serving a different purpose.In addition,our model review foc used its attention on developing a robust recommendation system with said data.The algorithms we evaluated were MLP (multi-layered perceptron),RBF (radial bas is function),GenClass,NNC (neural network construction),and FC (feature const ruction),which were used for the implementation of the recommendation system."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report.According to news reporting from Jinan,People's Republic of Chin a,by NewsRx journalists,research stated,"Over the last two decades,the quant ity of papers published in relation to robotic surgery in obstetrics and gynecol ogy has continued to grow globally.However,no bibliometric analysis based on V OSviewer has been performed to evaluate the past and present of global research in the field."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published.According to news reporting from Chhattisgarh,India,by NewsRx jo urnalists,research stated,"Question classification primarily involves categori zing questions based on the type of answer,with less emphasis on the words or p hrases used to form the query.Question classification is crucial in the Visual Question Answering (VQA) system,and the dataset's quality plays an essential ro le in the system's development." Financial support for this research came from National Institute of Technology,Raipur.
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 robotics.According to news originating from Tainan,Taiwan,by NewsRx editors,the research stated,"This paper introduces an adaptive control design tailored for robotic systems described by Euler-Lagrange equations under actuator saturat ion and partial loss of effectiveness." Funders for this research include National Science Council.The news correspondents obtained a quote from the research from National Cheng K ung University:"The adaptive law put forth not only retains conventional contro l properties but also extends its scope to effectively address challenges posed by actuator saturation and partial loss of effectiveness.The framework's primar y focus is on bolstering system robustness,thereby ensuring the achievement of uniformly ultimate bounded tracking errors."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cardiovascular Disease s and Conditions - Hypertension is the subject of a report.According to news re porting from Johannesburg,South Africa,by NewsRx journalists,research stated,"Hypertension is an important public health priority with a high prevalence in Africa.It is also an independent risk factor for kidney outcomes." The news correspondents obtained a quote from the research from the University o f the Witwatersrand,"We aimed to identify potential proteins and pathways invol ved in hypertension-associated albuminuria by assessing urinary proteomic profil es in black South African participants with combined hypertension and albuminuri a compared to those who have neither condition.The study included 24 South Afri can cases with both hypertension and albuminuria and 49 control participants who had neither condition.Protein was extracted from urine samples and analysed us ing ultra-high-performance liquid chromatography coupled with mass spectrometry.Data were generated using data-independent acquisition (DIA) and processed usin g Spectronaut? 15.Statistical and functional data annotation were performed on Perseus and Cytoscape to identify and annotate differentially abundant proteins.Machine learning was applied to the dataset using the OmicLearn platform.Overa ll,a mean of 1,225 and 915 proteins were quantified in the control and case gro ups,respectively.Three hundred and thirty-two differentially abundant proteins were constructed into a network.Pathways associated with these differentially abundant proteins included the immune system (q-value [false discovery rate] = 1.4 ? 10),innate immune system (q = 1.1 ? 10),extracellular matrix (ECM) organisation (q = 0.03) and activation of matrix metalloproteinases (q = 0.04).Proteins with high disease scores (76-100% confidence) for both hypertension and chronic kidney disease included angiotensi nogen (AGT),albumin (ALB),apolipoprotein L1 (APOL1),and uromodulin (UMOD).A machine learning approach was able to identify a set of 20 proteins,differentia ting between cases and controls."
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