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    New Findings on Machine Learning from Virginia Polytechnic Instituteand State U niversity Summarized (Digital Twins for RapidIn-situ Qualification of Part Qual ity In Laser Powder Bed FusionAdditive Manufacturing)

    31-32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 Ma chine Learning. According to news reportingfrom Blacksburg, Virginia, by NewsRx journalists, research stated, “This work concerns the laser powderbed fusion ( LPBF) additive manufacturing process. Currently, LPBF parts are inspected post-p rocessusing such techniques as X-ray computed tomography, optical and scanning electron microscopy, amongothers.”Financial supporters for this research include National Science Foundation (NSF) , Office of NavalResearch, Naval Surface Warfare Center (NAVAIR), National Inst itute of Standards & Technology (NIST)- USA, National Institute o f Standards & Technology (NIST) - USA, Institute for Critical Tech nologyand Applied Science, Macromolecules Innovation Institute, Office of the V ice President for Research andInnovation.The news correspondents obtained a quote from the research from Virginia Polytec hnic Institute andState University, “This empirical build-and-test approach for qualification of part quality is prohibitivelyexpensive and cumbersome. To ena ble rapid and accurate in-situ qualification of LPBF part quality, in thiswork, we developed a physics and data-integrated digital twin approach. To demonstrat e the approach,Inconel 718 parts of various shapes were manufactured under diff ering LPBF processing conditions. Theprocess was continuously monitored using i n-situ thermal and optical tomography imaging cameras. Thepart-scale thermal hi story was predicted using an experimentally validated computational thermal simulation. The simulationderived thermal history and sensor signatures were used as inputs to a k-nearest neighbor machine learning model. The machine learning mod el was trained with ground truth porosityand microstructure data obtained from post-process characterization. The approach predicted the onsetof porosity, mel tpool depth, grain size, and microhardness with an accuracy exceeding 90 % (R-2).”
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    Research on Androids Detailed by a Researcher at Konkuk University(Diverse Huma noid Robot Pose Estimation from Images UsingOnly Sparse Datasets)

    32-33页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on androids are disc ussed in a new report. According to newsreporting out of Seoul, South Korea, by NewsRx editors, research stated, “We present a novel dataset forhumanoid robot pose estimation from images, addressing the critical need for accurate pose est imationto enhance human-robot interaction in extended reality (XR) applications .”Funders for this research include National Research Foundation of Korea; Korea I nstitute of ScienceAnd Technology (Kist) Institutional Program; Konkuk Universi ty.Our news correspondents obtained a quote from the research from Konkuk Universit y: “Despitethe importance of this task, large-scale pose datasets for diverse h umanoid robots remain scarce. Toovercome this limitation, we collected sparse p ose datasets for commercially available humanoid robotsand augmented them throu gh various synthetic data generation techniques, including AI-assisted imagesyn thesis, foreground removal, and 3D character simulations. Our dataset is the fir st to provide full-bodypose annotations for a wide range of humanoid robots exh ibiting diverse motions, including side and backmovements, in real-world scenar ios. Furthermore, we introduce a new benchmark method for real-timefull-body 2D keypoint estimation from a single image.”
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    Findings from Delft University of Technology Reveals New Findingson Robotics (A Novel Mpc Formulation for Dynamic Target TrackingWith Increased Area Coverage for Search-and-rescue Robots)

    33-34页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting originating inDelft, Netherlands, by NewsRx jou rnalists, research stated, “Robots are increasingly deployed for searchand-resc ue (SaR), in order to speed up rescuing the victims in the aftermath of disaster s. These robotsrequire effective mission planning approaches to determine time and space-efficient trajectories that steerthem faster towards (moving) victims , while dealing with uncertainties.”Financial supporters for this research include TU Delft AILabs program, Netherla nds Organization forScientific Research (NWO).The news reporters obtained a quote from the research from the Delft University of Technology, “Modelpredictive control (MPC) is an effective optimization-base d control approach that has been used to steerrobots along reference trajectori es determined by higher level controllers. Determining the trajectory ofthe rob ots directly via MPC has the advantage of optimizing multiple SaR criteria while handling theconstraints. We, thus, introduce a path planning approach based on MPC for indoor SaR robots thatallows the robot to systematically chase the mov ing victims, when no reference trajectory is provided.The proposed approach com bines target-oriented and coverage-oriented search, and allows for systematicha ndling of environmental uncertainties, by deploying a robust tube-based version of the introduced MPCformulation. In addition, we model the movements of the vi ctims for MPC, by adopting an existingevacuation model. We present a case study , using Gazebo, MATLAB, and ROS, where the performanceof the proposed MPC contr oller is evaluated compared to four state-of-the-art methods (two target-oriented methods based on MPC and A* and two heuristic algorithms for area coverage).”
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    Study Findings from Hunan Applied Technology University BroadenUnderstanding of Artificial Intelligence (Cultivation Methods andEffectiveness Assessment in Te aching University Language Coursesin the Context of the Artificial Intelligence Era)

    34-35页
    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 artificial intelligence. According to news reportingout of Hunan, People’s Repu blic of China, by NewsRx editors, research stated, “Aiming at the blindspots of university language course learning in the age of artificial intelligence, this paper builds a technicalframework of intelligent cultivation method with a uni versity language intelligent question bank, classroomstudent behavior recogniti on model, and intelligent teaching evaluation model as the main modules.”The news journalists obtained a quote from the research from Hunan Applied Techn ology University:“The knowledge point mastery model is constructed, the knowled ge point test question matrix is composed,and the learner similarity calculatio n is carried out to design the intelligent question bank. Introduce theYOLO alg orithm to solve the problem of occlusion and small target detection of students’ behavioralactions, and propose a student behavior recognition model based on t he improved YOLOv5. Intelligentselection of language teaching evaluation indexe s, adoption of the recursive goal evaluation method, andestablishment of the te aching evaluation model. In the evaluation of the cultivation method, HZ University is used as the research site, and experimental and control classes are set u p to conduct comparativeexperiments.”
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    New Artificial Intelligence Study Findings Recently Were Reportedby Researchers at King’s College London (Artificial Intelligence, theRule of Law and Public A dministration: the Case of Taxation)

    35-35页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Artificial Intelligen ce have been presented. According to newsreporting out of London, United Kingdo m, by NewsRx editors, the research stated, “It is now a clich & eacute; to highlight that whilst artificial intelligence (AI) provides many opport unities, it also presents myriadrisks to established norms. Amongst the norms c onsidered in the literature, the Rule of Law unsurprisinglyfeatures.”Our news journalists obtained a quote from the research from King’s College Lond on, “But the analysesof the Rule of Law are narrow. AI has the capacity to augm ent as well as to undermine fidelity to theideal of the Rule of Law. Rather tha n viewing AI only as a threat to important norms, this article’s coreargument i s that AI should also be presented as an opportunity to meet their demands.”According to the news editors, the research concluded: “It uses the Rule of Law in tax administrationto support this argument.”This research has been peer-reviewed.
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    Reports Summarize Machine Learning Study Results from NanjingAgricultural Unive rsity (Machine Learning Prediction of SupercapacitorPerformance of N-doped Bioc har From Biomass WastesBased On N-containing Groups, Element Compositions, and Pore...)

    36-36页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Nanjing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Ndopedbiochar has great potential for development in the field of supercapacitors. In this study, RandomForest and Extreme Gradient Boosting models are used to predict the speci fic capacitance of N-dopedbiochar.”Funders for this research include National Natural Science Foundation of China ( NSFC), FundamentalResearch Funds for the Central Universities, Natural Science Foundation of Jiangsu Province, ChinaPostdoctoral Science Foundation, Jiangsu S huangchuang Talent Program.Our news journalists obtained a quote from the research from Nanjing Agricultura l University, “Theprediction is based on several features, including pore struc ture parameters, element composition, Ncontaininggroup of N-doped biochar, and electrochemical testing characteristics. Shapley additive explanationsand part ial dependency plots are used to explore the impact of the features on specific capacitance.Results show that both the Random Forest and the Extreme Gradient B oosting models exhibited excellentprediction performance, with R2 of 0.95 and 0 .96, respectively. N-6 contributes more to the higher specificcapacitance among the three Ncontaining groups. According to the partial dependency plots, when t hespecific surface area, pore size, and degree of graphitization are around 220 0 m2/g, 4 nm, and 1, respectively,the specific capacitance of N-doped biochar i s about 303 F/g at 1 A/g. In addition, a procedurefor predicting the specific c apacitance of N-doped biochar is developed based on the PySimpleGUI libraryand the Extreme Gradient Boosting model.”
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    Chinese Academy of Sciences Reports Findings in Brain-Based Devices(Enhanced ne ural activity detection with microelectrode arraysmodified by drug-loaded calci um alginate/chitosan hydrogel)

    37-38页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Brain-Based Devices is the subject of a report. According to newsoriginating from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated, “Microelectrodearr ays (MEAs) are pivotal brain-machine interface devices that facilitate in situ a nd real-timedetection of neurophysiological signals and neurotransmitter data w ithin the brain. These capabilities areessential for understanding neural syste m functions, treating brain disorders, and developing advancedbrain-machine int erfaces.”Our news journalists obtained a quote from the research from the Chinese Academy of Sciences, “Toenhance the performance of MEAs, this study developed a crossl inked hydrogel coating of calcium alginate(CA) and chitosan (CS) loaded with th e anti-inflammatory drug dexamethasone sodium phosphate(DSP). By modifying the MEAs with this hydrogel and various conductive nanomaterials, including platinumnanoparticles (PtNPs) and poly (3,4-ethylenedioxythiophene) polystyrene sulfona te (PEDOT: PSS), theelectrical properties and biocompatibility of the electrode s were optimized. The hydrogel coating matchesthe mechanical properties of brai n tissue more effectively and, by actively releasing anti-inflammatorydrugs, si gnificantly reduces post-implantation tissue inflammation, extends the electrode s’ lifespan, andenhances the quality of neural activity detection. Additionally , this modification ensures high sensitivityand specificity in the detection of dopamine (DA), displaying high-quality dual-mode neural activityduring in vivo testing and revealing significant functional differences between neuron types u nder variousphysiological states (anesthetized and awake). Overall, this study showcases the significant applicationvalue of bioactive hydrogels as excellent nanobiointerfaces and drug delivery carriers for long-term neuralmonitoring.”
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    New Findings from University of Glasgow in the Area of RoboticsPublished (Asses sment of wearable robotics performance in patientswith neurological conditions)

    38-38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 robotic s. According to news reporting from Glasgow,United Kingdom, by NewsRx journalis ts, research stated, “Purpose of review: While wearable roboticsis expanding wi thin clinical settings, particularly for neurological rehabilitation, there is s till a lack ofconsensus on how to effectively assess the performance of these d evices.”The news correspondents obtained a quote from the research from University of Gl asgow: “This reviewfocuses on the most common metrics, whose selection and desi gn are crucial for optimizing treatmentoutcomes and potentially improve the sta ndard care. Recent findings: The literature reveals that whilewearable robots a re equipped with various embedded sensors, most studies still rely on traditiona l,nontechnological methods for assessment. Recent studies have shown that, alth ough quantitative datafrom embedded sensors are available (e.g., kinematics), t hese are underutilized in favor of qualitativeassessments. A trend toward integ rating automatic assessments from the devices themselves is emerging,with a few notable studies pioneering this approach.”
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    Findings from Chang’an University Has Provided New Data on MachineLearning (Co- estimation of State of Charge and Capacity forBattery Packs In Real Electric Ve hicles With Few RepresentativeCells and Physics-informed Machine Learning)

    38-39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 news reporting originating in Shaanxi, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Accurate state of charge and capacity estimation is crucial for battery packs in electric vehi cles. However,the cell inconsistencies, computational complexity, temperature v ariations, and complex drive cycles allpose great challenges for the state of c harge and capacity estimation of battery packs in field operation.”Financial supporters for this research include National Key Research & Development Program of China,Key Research and Development Program of Shaanxi Pr ovince, Natural Science Basic Research Programin Shaanxi, China, China Postdoct oral Science Foundation, China Scholarship Council.
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    Changchun Institute of Technology Researcher Reports on Findingsin Machine Tran slation (Innovative Research on the Teaching Modeof English Translation Course in Colleges and Universities with theSupport of Deep Learning)

    39-40页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on machine translati on have been published. According to newsreporting originating from Jilin, Peop le’s Republic of China, by NewsRx correspondents, research stated “Nowadays, te achers have begun to try to carry out teaching innovation, but there is still th e phenomenonof copying the traditional course content and teaching form on the online teaching platform.”Our news journalists obtained a quote from the research from Changchun Institute of Technology:“Aiming at these types of teaching problems, this paper proposes research on the innovation of Englishtranslation teaching modes based on deep learning. In order to better analyze the effect of positionaldistance on word v ectors, the PW-CBOW model is constructed on the basis of the structure of the CBOW model, and its parameters are optimized using the Adam optimizer. When the in put and outputare both indeterminate long sequences, a decoder-encoder is used for processing. The machine translationmodel is jointly constructed by combinin g the attention mechanism and the bidirectional gated loop unit.The English tea ching model that combines the machine translation model is exemplified by using dataanalysis software. The results present that this paper’s model has +3.15 an d +2.12 more BLEU pointsthan the Transformer model and DynamicConv, respectivel y, and there is a significant difference betweenthis paper’s teaching model and the traditional teaching model in the three dimensions of final grades,stage g rades, and project grades, all of which satisfy P<0.05.”
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