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

    Findings on Machine Learning Reported by Investigators at BeijingUniversity of Technology (Physics-informed Machine Learning for Tribological Properties Predic tion of S32750/cfrpeek Tribopair Under Seawater Lubrication Via Pissa-cnn-lstm)

    66-66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 out of Beijing, People’s Re public of China, by NewsRx editors, research stated, “Tribologicalproperties an d wear mechanisms of S32750 stainless steel/carbon fiber-reinforced polyethereth erketone(CFRPEEK) tribopair in seawater under different salinities, sliding spe eds and loads were experimentallystudied. A novel Physics-Informed constraint s trategy has been originally developed and combined withsparrow search algorithm (SSA) to optimize a Convolutional Neural Network-Long Short-Term Memory(CNN-LS TM) model for predicting friction coefficient.”

    Finnish Geospatial Research Institute Researchers Describe NewFindings in Machi ne Learning (Large-Area UAS-Based Forest Health Monitoring Utilizing a Hydrogen- Powered Airship and Multispectral Imaging)

    67-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting from Espoo, Finland, by NewsRx journalists, research stated, “Climate change is threateningforest ec osystems worldwide by inducing various abiotic and biotic disturbances. In Europ e, the Europeanspruce bark beetle (* * Ips typographus* * L.) poses a significa nt threat, causing serious mortality inmature Norway spruce (* * Picea abies* * H.”

    Universidad del Norte Researchers Detail Findings in Artificial Intelligence (Ev aluating generative AI tools: A comparative guide for new users)

    68-68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 artificial intelligence is now available. According to news reportingfrom the Universidad del Norte by NewsRx journalists, research stated, “One of the most prominent formsof artifi cial intelligence that has been made public is generative AI, which offers a fre sh perspective anddirection for numerous global sectors.”

    Recent Studies from Vanderbilt University Add New Data to MachineLearning ('Mat h is a pain!': Understanding challenges and needs of the Machine Learning commun ity on Stack Overflow)

    68-69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 new report. According tonews reporting out of Nashville, Tennessee, by NewsRx editors, research stated, “Stack Overflow (SO)is a widely recognized online question-and-answer platform for programming, which has also f ostered asubstantial community dedicated to machine learning (ML), providing a space for both novices and expertsto exchange ideas and find solutions to ML-re lated problems.”

    Researchers from Debre Markos University Detail Findings in MachineLearning (Re mote Sensing-Based Long-Term Assessment of Water Dynamics and Influencing Factor s in Abaya and Chamo Lakes, East African Rift Valley, Ethiopia)

    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 ar tificial intelligence. According to news originatingfrom Debre Markos Universit y by NewsRx editors, the research stated, “Lakes are essential to global freshwater systems, supporting ecosystem services and ecological processes, but they ar e increasingly impactedby climate change and human activities.”

    Findings from University of Montpellier Broaden Understanding of Androids (End-e ffectors Changer Design for Humanoids)

    70-71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 - Androids. According to news reportingoriginating from Montpellier, Fra nce, by NewsRx correspondents, research stated, “Almost all (not to sayall) exi sting humanoids have not been designed with the ability to change their end-effe ctors (head, feet andhands) on-the-fly. Inspired by the tool-changing mechanism s in robotics automation and manufacturing,we propose an end-effectors changer mechanism suitable to humanoids.”

    New Findings Reported from University of Texas Arlington DescribeAdvances in Ma chine Learning (Machine learning based segmentationof delamination patterns fro m sparse ultrasound data of barely visible impact damage in composites)

    71-72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 Arlington, Texas, b y NewsRx journalists, research stated, “Composite laminates, knownfor their str ength and flexibility, are widely used but can delaminate under certain barely v isible impact.Ultrasound Transmission (UT) scans can detect such failures, but the noise in the scans makes automationof delamination morphology challenging.”

    Findings from California Institute of Technology (Caltech) RevealsNew Findings on Machine Learning (Machine-learning-based Structural Analysis of Interactions Between Antibodies and Antigens)

    72-73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 Machine Learning is now available. According to news originating fromPasadena, California, by NewsRx c orrespondents, research stated, “Computational analysis of paratopeepitopeinte ractions between antibodies and their corresponding antigens can facilitate our understandingof the molecular mechanism underlying humoral immunity and boost t he design of new therapeutics formany diseases. The recent breakthrough in arti ficial intelligence has made it possible to predict proteinproteininteractions and model their structures.”

    Polytechnic University Milan Researchers Describe Findings in Machine Learning ( Machine learning applications on lunar meteorite minerals: From classification t o mechanical properties prediction)

    73-73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 ar tificial intelligence. According to news reportingfrom Milano, Italy, by NewsRx journalists, research stated, “Amid the scarcity of lunar meteorites and theim perative to preserve their scientific value, non-destructive testing methods are essential.”Funders for this research include Government of Catalonia; Ministerio De Ciencia E InnovacioN; EuropeanResearch Council; Italian Space Agency.

    Shengjing Hospital of China Medical University Reports Findings inArtificial In telligence (Non-invasive prediction of human embryonicploidy using artificial I ntelligence: a systematic review and metaanalysis)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Artificial Intelligence is the su bject of a report. According to news originatingfrom Shenyang, People’s Republi c of China, by NewsRx correspondents, research stated, “Embryonic ploidyis crit ical for the success of embryo transfer. Currently, preimplantation genetic test ing for aneuploidy(PGT-A) is the gold standard for detecting ploidy abnormaliti es.”