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    University of Oslo and Oslo University Hospital Reports Findings in Machine Learning (Unconstrained generation of synthetic antibodyantigen structures to guide machine learning methodology for antibody specificity prediction)

    38-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting from Oslo, Norway, by NewsRx journalists, research stated, “Machine learning (ML) is a keytechnology for accurate prediction of antibody-antigen binding. Two orthogonal problems hinder theapplication of ML to antibody-specificity prediction and the benchmarking thereof: the lack of a unifiedML formalization of immunological antibody-specificity prediction problems and the unavailability of largescalesynthetic datasets to benchmark real-world relevant ML methods and dataset design.”

    Universidade Federal de Vicosa Reports Findings in Machine Learning (Genomic prediction in multi-environment trials in maize using statistical and machine learning methods)

    39-39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 the subject of a report. According to newsreporting from Minas Gerais, Brazil, by NewsRx journalists, research stated, “In the context of multienvironmenttrials (MET), genomic prediction is proposed as a tool that allows the prediction of thephenotype of single cross hybrids that were not tested in field trials. This approach saves time and costscompared to traditional breeding methods.”

    New Robotics Study Findings Have Been Reported by Investigators at Sorbonne University (A Robotic Strategy for In-plane Center of Rotation Identification and Control In Atomic Force Microscopy)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are discussed in a new report. According to newsoriginating from Paris, France, by NewsRx correspondents, research stated, “This letter presents a methodto determine and control the center of rotation of a parallel micro-robotic platform used as a sample holderfor an Atomic Force Microscope (AFM). The AFM is operating inside a Scanning Electron Microscope(SEM) for correlative AFM in SEM imaging.”

    Recent Studies from Stanford University Add New Data to Machine Learning (Design automation of microfluidic single and double emulsion droplets with machine learning)

    40-40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 intelligence have been presented. According to news reportingout of Stanford University by NewsRx editors, research stated, “Droplet microfluidics enables kHz screeningof picoliter samples at a fraction of the cost of other high-throughput approaches.”

    Reports Summarize Machine Learning Research from North Dakota State University (Alignment of Unsupervised Machine Learning with Human Understanding: A Case Study of Connected Vehicle Patents)

    41-42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 out of Fargo, North Dakota, by NewsRx editors, research stated, “As official public records ofinventions, patents provide an understanding of technological trends across the competitive landscape ofvarious industries.”

    University Grenoble Alpes Reports Findings in Telemedicine (Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Telemedicine is the subject of a report. According to news originatingfrom Grenoble, France, by NewsRx correspondents, research stated, “Telemedicine ™ has augmentedhealthcare by enabling remote consultations, diagnosis, treatment, and monitoring of patients, therebyimproving healthcare access and patient outcomes. However, successful adoption of TM depends on useracceptance, which is influenced by technical, socioeconomic, and health-related factors.”

    New Machine Learning Research Reported from KIIT Deemed to be University (Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques)

    43-44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 intelligence have been published. According tonews reporting out of KIIT Deemed to be University by NewsRx editors, research stated, “In the era ofautomated and digitalized information, advanced computer applications deal with a major part of thedata that comprises audio-related information. Advancements in technology have ushered in a new erawhere cutting-edge devices can deliver comprehensive insights into audio content, leveraging sophisticatedalgorithms such such as Mel Frequency Cepstral Coefficients (MFCCs) and Short-Time Fourier Transform(STFT) to extract and provide pertinent information.”

    Data on Machine Learning Described by Researchers at Nanjing University (Machine-learning-based Morphological Analyses of Leaf Epidermal Cells In Modern and Fossil Ginkgo and Their Implications for Palaeoclimate Studies)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Nanjing, People’s Republic of China, by NewsRx correspondents, researchstated, “Leaf stomata form an essential conduit between plant tissue and the atmosphere, thus presentinga link between plants and their environments. Changes in their properties in fossil leaves have been studiedwidely to infer palaeo-atmospheric-CO(2 )in deep time, ranging from the Palaeozoic to the Cenozoic.”

    Data from Beijing Jiaotong University Advance Knowledge in Machine Translation (Wdsrl: Multi-domain Neural Machine Translation With Word-level Domain-sensitive Representation Learning)

    45-46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 Machine Translation. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Due to the strongreliance on domain-specific knowledge, the joint learning manner of domain discrimination and translationhas been widely considered in the Multi-Domain Neural Machine Translation (MDNMT) task. However,the word ambiguity problem still inevitably exists in MDNMT, especially when mixed multi-domain data isbrought into the model training phase.”

    New Machine Learning Research Reported from Erzurum Technical University (Ensemble Machine Learning Approaches for Prediction of Turkiye’s Energy Demand)

    46-47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 artificial intelligence. According to news reportingfrom Erzurum Technical University by NewsRx journalists, research stated, “Energy demand forecasting isa fundamental aspect of modern energy management. It impacts resource planning, economic stability,environmental sustainability, and energy security.”