首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Department of Dermatology Reports Findings in Artificial Intelligence(Artificia l Intelligence Smartphone Application for Detectionof Simulated Skin Changes: A n In Vivo Pilot Study)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting out of Vejle, Denmark, by NewsRx editors, research stated, “The development of artificialintelligence (AI) is rapidly expanding, showing promise in the dermatological field. Skin ch ecks are aresource-heavy challenge that could potentially benefit from AI-tool assistance, particularly if provided inwidely available AI solutions.”Our news journalists obtained a quote from the research from the Department of D ermatology, “Anovel smartphone application(app)-based AI system, ‘SCAI,’ was de veloped and trained to recognize spotsin paired images of skin, pursuing identi fication of new skin lesions. This pilot study aimed to investigatethe feasibil ity of the SCAI-app to identify simulated skin changes in vivo. The study was co nducted in acontrolled setting with healthy volunteers and standardized, simula ted skin changes (test spots), consistingof customized 3-mm adhesive spots in t hree colors (black, brown, and red). Each volunteer had a totalof eight test sp ots adhered to four areas on back and legs. The SCAI-app collected smartphone- a ndtemplate-guided standardized images before and after test spot application, u sing its backend AI algorithmsto identify changes between the paired images. Tw enty-four volunteers were included, amounting to atotal of 192 test spots. Over all, the detection algorithms identified test spots with a sensitivity of 92.0%(CI: 88.1-95.9) and a specificity of 95.5% (CI: 95.0-96.0). The SC AI-app’s positive predictive value was38.0% (CI: 31.0-44.9), whil e the negative predictive value was 99.7% (CI: 99.0-100). This pil ot studyshowed that SCAI-app could detect simulated skin changes in a controlle d in vivo setting.”

    Research Findings from University of Leuven (KU Leuven) UpdateUnderstanding of Machine Learning (Predicting vertical ground reactionforce characteristics duri ng running with machine learning)

    60-61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 artificial intell igence have been published. According to newsreporting from Leuven, Belgium, by NewsRx journalists, research stated, “Running poses a high risk ofdeveloping r unning-related injuries (RRIs).”Financial supporters for this research include Fonds Wetenschappelijk Onderzoek; Onderzoeksraad, KuLeuven.Our news editors obtained a quote from the research from University of Leuven (K U Leuven): “Themajority of RRIs are the result of an imbalance between cumulati ve musculoskeletal load and load capacity.A general estimate of whole-body biom echanical load can be inferred from ground reaction forces (GRFs).Unfortunately , GRFs typically can only be measured in a controlled environment, which hinders its widerapplicability. The advent of portable sensors has enabled training ma chine-learned models that are able tomonitor GRF characteristics associated wit h RRIs in a broader range of contexts. Our study presents andevaluates a machin e-learning method to predict the contact time, active peak, impact peak, and imp ulseof the vertical GRF during running from three-dimensional sacral accelerati on. The developed models forpredicting active peak, impact peak, impulse, and c ontact time demonstrated a root-mean-squared errorof 0.080 body weight (BW), 0. 198 BW, 0.0073 BW seconds, and 0.0101 seconds, respectively.”

    Research from Technical University Munich (TU Munich) YieldsNew Findings on Mac hine Learning (Acoustic process monitoringduring the laser beam welding of stai nless-steel foils using an adjustablering mode laser beam source)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting originating fr om Technical University Munich (TU Munich) by NewsRx correspondents,research st ated, “Electrification of the mobility sector is vital to meet the targets for r educing greenhousegas emissions. Besides battery-based mobility solutions, poly mer electrolyte membrane fuel cells (PEMFCs)are a promising technology for elec trifying drive trains, especially in heavy-duty applications, such asmaritime o r logistics.”Funders for this research include Bundesministerium Fur Bildung Und Forschung.The news journalists obtained a quote from the research from Technical Universit y Munich (TUMunich): “Bipolar plates, a key component of PEMFCs, can consist of two stainless-steel foils that mustbe welded to be gas-tight. In order to join the two metal foils, laser beam welding is the state-of-the-arttechnology. Cur rent challenges include process instabilities at higher welding speeds, such as the humpingeffect, which can cause weld seam imperfections. Therefore, applying sensors for laser beam welding is apromising approach to monitor the welding p rocess. AISI 316L foils were welded within the scope of thiswork with various p rocess parameters using an adjustable ring mode laser beam source. Additionally, anoptical microphone was used as a process monitoring system. By applying diff erent parameter settingsand due to the introduction of artificial faults, weld seam defects, such as a burn-through or a gap, wereinduced.”

    Studies from Fujian Agriculture and Forestry University Yield NewData on Agricu ltural Robots (Tomato Pedicel Physical Characterizationfor Fruit-Pedicel Separa tion Tomato Harvesting Robot)

    62-63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 agricultural robo ts have been published. According to newsoriginating from Fuzhou, People’s Repu blic of China, by NewsRx editors, the research stated, “To solvethe problem of the lack of physical properties of pedicels and the changing pattern for designi ng the end-effector of tomato harvesting robot and different harvesting modes, r esearch was conducted on thephysical properties of tomato pedicels and their ch ange patterns. Using a Universal TA texture analyzer,tensile, three-point bendi ng, and shearing tests were performed on tomato pedicels in the early firm-ripening stage.”Financial supporters for this research include Guiding Project of The Fujian Pro vincial Departmentof Science And Technology; Open Foundation of Fujian Key Labo ratory of Green Intelligent Drive AndTransmission For Mobile Machinery; Fujian Agriculture And Forestry University.

    New Robotics Research from Boston University Outlined (A fabricationstrategy fo r millimeter-scale, self-sensing soft-rigid hybridrobots)

    62-62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 robotics have bee n published. According to news reporting outof Boston University by NewsRx edit ors, research stated, “Soft robots typically involve manual assemblyof core har dware components like actuators, sensors, and controllers.”Our news editors obtained a quote from the research from Boston University: “Thi s increases fabricationtime and reduces consistency, especially in small-scale soft robots. We present a scalable monolithicfabrication method for millimeter- scale soft-rigid hybrid robots, simplifying the integration of core hardwarecom ponents. Actuation is provided by soft-foldable polytetrafluoroethylene film-bas ed actuators poweredby ionic fluid injection. The desired motion is encoded by integrating a mechanical controller, comprised ofrigid-flexible materials. The robot’s motion can be self-sensed using an ionic resistive sensor by detectinge lectrical resistance changes across its body. Our approach is demonstrated by fa bricating three distinctsoft-rigid hybrid robotic modules, each with unique deg rees of freedom: translational, bending, and rototranslationalmotions.”According to the news editors, the research concluded: “These modules connect to form a soft-rigidhybrid continuum robot with real-time shape-sensing capabilit ies. We showcase the robot’s capabilities byperforming object pick-and-place, n eedle steering and tissue puncturing, and optical fiber steering tasks.”

    New Photocatalytics Findings from Indian Institute of Technology(IIT) Madras Ou tlined (A Systematic Review of Recent AdvancesIn Piezocatalysis - Synergetic He terojunctions for Organic PollutantsRemoval, Immobilization, and Scope of Machi ne ...)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Nanotechnolog y - Photocatalytics. According to news reportingout of Tamil Nadu, India, by Ne wsRx editors, research stated, “Piezocatalysis is an emerging advancedoxidation process (AOP) that converts mechanical energy to chemical form producing reacti ve oxygen species (ROS) for mineralizing organic pollutants (OPs). Heterojunctio n-based piezocatalysis has provento be an excellent way of water remediation du e to the increased generation of ROS because of additionalpiezopotential genera ted in two catalytic materials.”Financial support for this research came from Development (MHRD) , India.Our news journalists obtained a quote from the research from the Indian Institut e of Technology(IIT) Madras, “This article systematically reviews the recent de velopments in piezocatalytic, piezophotocatalytic,and piezo-electrocatalytic h eterojunctions for treating OPs from aqueous media. Themechanism behind improvi ng ROS generation via piezopotential development under different synergistichet erojunctions was deeply analysed. The review found that the enhanced ROS generat ion in piezophotocatalyticheterojunctions was attributed to enhanced charge ca rrier separation, reduced recombination,conversion of the heterojunction from t ype-II to S-scheme heterojunction, and reducing the Schottkybarrier. For piezo- electrocatalysis, the effect of piezopotential on band position, band bending, a nd Fermilevel (FL) was discussed in detail. Furthermore, the review found that adding peroxomonosulphate (PMS)or peroxodisulphate (PDS) into the system enhanc ed reactive species generation by allowing multiplepathways for reactive specie s generation in piezocatalytic and piezo-photocatalytic heterojunctions.”

    University College London (UCL) Reports Findings in MachineLearning (Predicting criminal offence in adolescents who exhibitantisocial behaviour: a machine lea rning study using data from alarge randomised controlled trial of multisystemic ...)

    64-65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 London, United Kingdom, by NewsRx journalists, research stated, “Accurate predictionof short- term offending in young people exhibiting antisocial behaviour could support tar geted interventions. Here we develop a set of machine learning (ML) models that predict offending status withgood accuracy; furthermore, we show interpretable ML analyses can complement models to inform clinicaldecision-making.”Financial support for this research came from National Institute for Health and Care Research ARCNorth Thames.

    Data on Machine Learning Detailed by Researchers at NorthernIllinois University (Public Interest In Science or Bots? SelectiveAmplification of Scientific Arti cles On Twitter)

    66-67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 DeKalb, Illinois, by NewsRx correspondents, research stated, “PurposeWith the remarkablecapability to reach the public instantly, social media has become integral in sharing schol arly articles tomeasure public response. Since spamming by bots on social media can steer the conversation and presenta false public interest in given researc h, affecting policies impacting the public’s lives in the real world.”Financial supporters for this research include National Science Foundation (NSF) , Office of the VicePresident for Research at the University of South Carolina.

    University of the Basque Country Researcher Updates Knowledge ofArtificial Inte lligence (Artificial Intelligence for Social Innovation:Beyond the Noise of Alg orithms and Datafication)

    67-67页
    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 the Basque Countr y by NewsRx journalists, research stated, “In an era of rapid technologicaladva ncement, decisions about the ownership and governance of emerging technologies l ike ArtificialIntelligence will shape the future of both urban and rural enviro nments in the Global North and South.”The news editors obtained a quote from the research from University of the Basqu e Country: “Thisarticle explores how AI can move beyond the noise of algorithms by adopting a technological humanisticapproach to enable Social Innovation, fo cusing on global inequalities and digital justice. Using a fieldworkAction Rese arch methodology, based on the Smart Rural Communities project in Colombia and Mozambique, the study develops a framework for integrating AI with SI. Drawing on insights from the AI4SIInternational Summer School held in Donostia-San Sebast ian in 2024, the article examines the role ofdecentralized Web3 technologies-su ch as Blockchain, Decentralized Autonomous Organizations, and DataCooperatives- in enhancing data sovereignty and fostering inclusive and participatory governan ce.”According to the news editors, the research concluded: “The results demonstrate how decentralizationcan empower marginalized communities in the Global South by promoting digital justice and addressing theimbalance of power in digital ecos ystems. The conclusion emphasizes the potential for AI and decentralizedtechnol ogies to bridge the digital divide, offering practical recommendations for scali ng these innovationsto support equitable, community-driven governance and addre ss systemic inequalities across the GlobalNorth and South.”

    New Robotics and Artificial Intelligence Findings from JSS Scienceand Technolog y University Published (Journey tracker: driver alertingsystem with a deep lear ning approach)

    68-69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 robotics and artificial intelligence. According tonews reporting out of Karnata ka, India, by NewsRx editors, research stated, “Negligence of public transportd rivers due to drowsiness poses risks not only to their own lives but also to the lives of passengers. Thedesigned journey tracker system alerts the drivers and activates potential penalties.”