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

    Study Results from Instituto Politecnico Nacional Update Understanding of Artifi cial Intelligence (A New Classification Model Using a Decision Tree Generated fr om Hyperplanes in Dimensional Space)

    56-57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 reportingout of Mexico City, Mexico, by Ne wsRx editors, research stated, “One of the issues addressed by machine learning, with applications in various disciplines or fields such as the health sector an d the agriculturalsector among others, involves data classification.”

    Researchers from National Institute of Technology Warangal Detail Findings in Ma chine Learning (A Machine Learning-based Model for Multiple Material Density Pre diction Developed By Powder Bed Fusion Additive Manufacturing)

    56-56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 Telangana, India, by NewsRx jou rnalists, research stated, “In metal-based additive manufacturing,powder bed fu sion has been adopted for printing different metals and alloys. However, process parameterselection for printing dense and defect-free components is still chal lenging.”

    New Machine Learning Findings from Universitas Syiah Kuala Published (Developing of calibration model for acetic acid, flavonoid, and capsaicin content from fre sh red chilies using combination Vis-NIR spectral descriptors, machine learning and ...)

    57-58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 reportingfrom Banda Aceh, Indonesia, by NewsRx journalists, research stated, “Rapid and non-destructive measurementsto determine the amount of certain compounds in products such as fresh red chil ies are stillchallenging today.”

    Study Data from Hunan University Provide New Insights into Machine Learning (Uti lizing a Combination of Experimental and Machine Learning Methods To Predict and Correlate Between Accelerated and Natural Aging of Cfrp/al Adhesive Joints Unde r ...)

    58-59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 tonews reporting out of Sanya, People’s Repu blic of China, by NewsRx editors, research stated, “Thisstudy investigates how carbon fiber reinforced polymer (CFRP)-to-aluminum adhesive joints behave underaccelerated aging conditions with hygrothermal exposure and compares these findi ngs against naturallyaged samples to evaluate material reliability in challengi ng environments. The CFRP-to-aluminum adhesivejoints were manufactured and subj ected to natural aging for durations ranging from 1 to 3 years with6-month inte rvals, as well as accelerated aging (hygrothermal) for periods ranging from 100 to 1200h, with intervals of 50 h. Subsequently, the mechanical properties of th e joints were evaluated using athree-point bending test.”

    New Study Findings from Robert Gordon University Illuminate Research in Artifici al Intelligence (Few-Shot Symbol Detection in Engineering Drawings)

    59-60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 out of Aberdeen, United Kingdom, by NewsRx editors, research stated, “Recently, there has beensignifica nt interest in digitizing engineering drawings due to their complexity and pract ical benefits.”

    Study Findings on Artificial Intelligence Reported by Researchers at Technische Universitat Ilmenau (Feature-Based Dataset Fingerprinting for Clustered Federate d Learning on Medical Image Data)

    60-60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 originating from Ilmenau, Ge rmany, by NewsRx correspondents, research stated, “FederatedLearning (FL) allow s multiple clients to train a common model without sharing their private trainin gdata. In practice, federated optimization struggles with sub-optimal model uti lity because data is notindependent and identically distributed (non-IID).”

    New Data from Kunming University Illuminate Findings in Machine Translation (Lkm t: Linguistics Knowledge-driven Multi-task Neural Machine Translation for Urdu a nd English)

    61-61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 Translation. According to news reportingfrom Kunming, People’s Republic o f China, by NewsRx journalists, research stated, “Thanks to the strongrepresent ation capability of pre-trained language models, supervised machine translation models haveachieved outstanding performance. However, the performances of these models drop sharply when thescale of the parallel training corpus is limited.”

    Study Results from Guizhou Normal University in the Area of Artificial Intellige nce Reported (Spirf-cta: Selection of Parameter Importance Levels for Reasonable Forgetting In Continuous Task Adaptation)

    62-63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 reportingoriginating from Guizhou, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Humans can adapt to changing environments and tasks and consolidate their previous knowledg e by constantlylearning and practicing new knowledge; however, it is extremely challenging for artificial intelligenceto achieve this goal. With the developme nt of the field of artificial intelligence, research on overcomingcatastrophic forgetting in continuous learning is also faced with the challenges of focusing on the mostimportant parameters of the current task, retaining knowledge from p revious tasks and adapting it to newones, and making better use of knowledge fr om previous and new tasks.”

    Findings from University of Jinan in the Area of Artificial Intelligence Describ ed (Mdgrl: Multi-dimensional Graph Rule Learning)

    63-64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 Artificial In telligence have been published. According tonews reporting originating in Guang zhou, People’s Republic of China, by NewsRx journalists, researchstated, “Knowl edge graph completion is an advanced artificial intelligence (AI) methodology th at enables the systematic organization and structuring of data. It can significa ntly enhance the digital economy byfacilitating more accurate and appropriate d ecision-making processes.”

    Research on Machine Learning Described by Researchers at University of Victoria (Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inferen ce in Disk-Planet Systems)

    63-63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 Victoria, Canada, by NewsRx editors, research stated, “We introduce Disk2Planet, amachine-learning-b ased tool to infer key parameters in disk-planet systems from observed protoplan etarydisk structures.”