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    Findings on Machine Learning Discussed by Investigators at Beihang University (R evisiting Residential Self-selection and Travel Behavior Connection Using a Doub le Machine Learning)

    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 th e subject of a report. According to newsoriginating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Residentialself-sele ction (RSS) confounds the connection between the built environment and travel be havior.Existing studies have used endogenous switching regression models to qua ntify the proportions of the builtenvironment itself and RSS in the observed be havioral difference between different environments.”
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    Investigators at Faculty of Electrical Engineering Detail Findings in Machine Le arning (An End-to-end Machine Learning Approach With Explanation for Time Series With Varying Lengths)

    39-39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 Machine Learning. According to news reportingfrom Schmalkalden, Germany, by New sRx journalists, research stated, “An accurate prediction of complexproduct qua lity parameters from process time series by an end-to-end learning approach rema ins asignificant challenge in machine learning. A special difficulty is the app lication of industrial batch processdata because many batch processes generate variable length time series.”
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    Walailak University Researchers Report Recent Findings in Machine Learning (AI-p owered ensemble machine learning to optimize cost strategies in logistics busine ss)

    40-40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 artificial intell igence have been published. According to newsoriginating from Nakhon Si Thammar at, Thailand, by NewsRx correspondents, research stated, “Thisresearch investig ates the potential advantages of using artificial intelligence (AI) to drive ens emblemachine learning (ML) for enhancing cost strategies and maximizing profits .”
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    Imperial College London Reports Findings in Klebsiella pneumoniae (Optimising ma chine learning prediction of minimum inhibitory concentrations in Klebsiella pne umoniae)

    40-41页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Gram-Negative Bacteria - Klebsiella pneumoniae is the subject of areport. According to news originati ng from London, United Kingdom, by NewsRx correspondents, researchstated, “Mini mum Inhibitory Concentrations (MICs) are the gold standard for quantitatively me asuringantibiotic resistance. However, lab-based MIC determination can be time- consuming and suffers from lowreproducibility, and interpretation as sensitive or resistant relies on guidelines which change over time.”
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    Findings in Machine Learning Reported from Renmin University of China (Discovery of Ultra-weakly Coupled 0-carotene J-aggregates By Machine Learning)

    42-42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 from Beijing, People’s Repu blic of China, by NewsRx journalists, research stated, “Carotenoidaggregates ar e omnipresent in natural world and can be synthesized in hydrophilic environment s. Despitedifferent types of carotenoid aggregates have been reported hitherto, the way to predict the formation ofcarotenoid aggregates, i.e.”
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    Study Results from BioRobot Institute Update Understanding of Machine Learning ( Generating Frequency Selective Vibrations In Remote Moving Magnets)

    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 Machine Learning is th e subject of a report. According to newsoriginating from Pisa, Italy, by NewsRx correspondents, research stated, “Extensive efforts in providing upper limb amp utees with sensory feedback have primarily focused on the restoration of tactile capabilities,while challenges in evoking proprioceptive sensations have been p oorly addressed. Previously, an humanmachineinterface (HMI) was proposed based on permanent magnets implanted in residual muscles of anamputee, namely the my okinetic interface, to control robotic limb prostheses.”
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    Shandong University Reports Findings in Biomimetics (Biomimetic Electronic Skin for Robots Aiming at Superior Dynamic-Static Perception and Material Cognition B ased on Triboelectric- Piezoresistive Effects)

    43-44页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nanotechnology - Biomi metics is the subject of a report. Accordingto news reporting originating from Jinan, People’s Republic of China, by NewsRx correspondents, researchstated, “E mpowering robots with tactile perception and even thinking as well as judgment c apabilitiessimilar to those of humans is an inevitable path for the development of future robots. Here, we propose a biomimetic electronic skin (BES) that trul y serves and applies to robots to achieve superior dynamic-staticperception and material cognition functionalities.”
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    East China University of Science and Technology Reports Findings in Machine Lear ning (Evaluation of machine learning models for cytochrome P450 3A4, 2D6, and 2C 9 inhibition)

    44-45页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating in Shanghai, People’s Republ ic of China, by NewsRx journalists, research stated, “CytochromeP450 (CYP) enzy mes are involved in the metabolism of approximately 75% of markete d drugs. Inhibitionof the major drug-metabolizing P450s could alter drug metabo lism and lead to undesirable drug-druginteractions.”
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    Studies from Simon Fraser University Update Current Data on Robotics (Holoslam: a Novel Approach To Virtual Landmark-based Slam for Indoor Environments)

    45-46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. According to news reporting originatingfrom Surrey, Canada, by NewsRx correspondents, research stated, “In this paper, we present HoloSLAMwhich is a novel solution to landmark detection issues in the simultaneous localization an d mapping(SLAM) problem in autonomous robot navigation. The approach integrates real and virtual worlds tocreate a novel mapping robotic environment employing a mixed-reality technique and a sensor, namelyMicrosoft HoloLens.”
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    Investigators at Xiamen University Describe Findings in Machine Translation (A M ultitask Co-training Framework for Improving Speech Translation By Leveraging Sp eech Recognition and Machine Translation Tasks)

    46-47页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Translation h ave been presented. According to newsoriginating from Xiamen, People’s Republic of China, by NewsRx correspondents, research stated, “Endto-end speech transla tion (ST) has attracted substantial attention due to its less error accumulation andlower latency. Based on triplet ST data \document class[12pt]{minimal} \ usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \ usepackage{amssymb} \usepackage{ amsbsy} \usepackage{mathrsfs} \ usepackage{upgreek} \setlength{ \oddsidemargin}{-69pt} \ begin{document}$$\ langle$$\end{do cument} speech-transcription-translation \documentcl ass[12pt]{minimal} \ usepackage{amsmath}\usepackage{ wasysym} \usepackage{amsfonts} \ usepackage{amssymb} \usepackage{ amsbsy}\usepackage{mathrsfs} \ usepackage{upgreek} \setlength{ \oddsidemargin}{-69pt} \ begin{document}$$\ rangle$$\end{do cument}, multitask learning (MTL) that utilizes machine translation \documentclass[12pt] {minimal} \usepackage{amsm ath} \usepackage{wasysym} \ usepackage{amsfonts} \usepackage{ amssymb} \usepackage{amsbsy} \ usepackage{mathrsfs} \usepackage{ upgreek} \setlength{\ oddsidemargin}{-69pt} \beg in{document}$$\ langle$$\end{do cument}transcription-translation \documentclass[12pt]{minimal} \ usepackage{amsmath} \usepackage{ wasysym} \usepackage{amsfonts} \ usepackage{amssymb} \usepackage{ amsbsy} \usepackage{mathrsfs} \ usepackage{upgreek} \setlength{ oddsidemargin}{-69pt} \ begin{document}$$\ rangle$$\end{do cument} or automatic speech recognition\documentcla ss[12pt]{minimal} \ usepackage{amsmath} \usepackage{ wasysym} \usepackage{amsfonts}\ usepackage{amssymb} \usepackage{ amsbsy} \usepackage{mathrsfs} \ usepackage{upgreek} setlength{ \oddsidemargin}{-69pt} \ begin{document}$$\ langle$$\end{do cument}speech-transcription\documentclas s[12pt]{minimal} \ usepackage{amsmath} \usepackage{ wasysym} \usepackage{amsfonts}\ usepackage{amssymb} \usepackage{ amsbsy} \usepackage{mathrsfs} \ usepackage{upgreek} \setlength{ \oddsidemargin}{-69pt} \ begin{document}$$\ rangle$$\end{do cument} task to assist intraining ST model is widely employed.”
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