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    Study Findings from Complutense University Madrid Broaden Understanding of Machi ne Learning (Machine Learning Screening Tools for the Prediction of Extraction Y ields of Pharmaceutical Compounds From Wastewaters)

    51-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting from Madrid, Spain, by NewsR x journalists, research stated, “Pharmaceutical compounds have become an increas ingly important source of pollutants in wastewaters being conventional treatment s ineffective in removing them, so they are commonly discharged into the environ ment. Pharmaceuticals can be successfully removed using liquid -liquid extractio n, and COSMO-RS can be used to predict interactions and identify the most promis ing solvents.”

    Recent Findings from University of Science and Technology Beijing Provides New I nsights into Machine Learning (Rapid Accomplishment of Cost-effective and Macro- defect-free Lpbf-processed Ti Parts Based On Deep Data Augmentation)

    52-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Machine learning methods can accurately predict the density of as-built parts by laser power bed fusion (LPBF), providing a reference for optimizing process parameters. However, obtaining massive training data via experiments is time-consuming and high-cost .”

    Researchers from Shanxi University Detail New Studies and Findings in the Area o f Machine Learning (Application of Machine Learning In Perovskite Materials and Devices: a Review)

    53-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Shanxi, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Metal-halide hybrid perovskite materials are excellent candidates for solar cells and photoe lectric devices. In recent years, machine learning (ML) techniques have develope d rapidly in many fields and provided ideas for material discovery and design.”

    Investigators at Ghent University-imec Report Findings in Robotics (No More Mumb les: Enhancing Robot Intelligibility Through Speech Adaptation)

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Ghent, Belgium, by NewsRx corres pondents, research stated, “Spoken language interaction is at the heart of inter personal communication, and people flexibly adapt their speech to different indi viduals and environments. It is surprising that robots, and by extension other d igital devices, are not equipped to adapt their speech and instead rely on fixed speech parameters, which often hinder comprehension by the user.”

    Study Results from Hohai University Provide New Insights into Machine Learning ( Machine learning in prediction of residual stress in laser shock peening for max imizing residual compressive stress formation)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Nanj ing, People’s Republic of China, by NewsRx correspondents, research stated, “Las er Shock Peening (LSP) is an advanced technique for enhancing surface properties , drawing significant interest for its ability to induce beneficial residual str esses in materials.” Financial supporters for this research include National Natural Science Foundati on of China.

    University of Science and Technology of China Reports Findings in Support Vector Machines (Raman spectroscopy with an improved support vector machine for discri mination of thyroid and parathyroid tissues)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Support Vector Machines is the su bject of a report. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “The objective of this study was to discriminate thyroid and parathyroid tissues using Raman spect roscopy combined with an improved support vector machine (SVM) algorithm. In thy roid surgery, there is a risk of inadvertently removing the parathyroid glands.” Financial supporters for this research include National Key Research and Develop ment Program of China, Fundamental Research Funds for the Central Universities.

    Studies from Sidi Mohamed Ben Abdellah University Reveal New Findings on Machine Learning (Predicting Market Performance Using Machine and Deep Learning Techniq ues)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Fez, Morocco, by NewsRx correspondents, research stated, “Today, forecasting the stock market has been one of the most challenging issues for the ‘artificial intelligence’ AI research community.” The news correspondents obtained a quote from the research from Sidi Mohamed Ben Abdellah University: “Stock market investment methods are sophisticated and rel y on analyzing massive volumes of data. In recent years, machine-learning techni ques have come under increasing scrutiny to assess and improve market prediction s over traditional approaches. The observation in time is due to their dependenc e. Their predictions are crucial tasks in data mining and have attracted great i nterest and considerable effort over the past decades. Tackling this challenge r emains difficult due to the inherent characteristics of time series data, includ ing its high dimensionality, large volume of data, and constant updates. Explora tion of Machine Learning and Deep Learning methods undertaken to enhance the eff ectiveness of conventional approaches.”

    New Findings from Shanghai Jiao Tong University Update Understanding of Artifici al Intelligence (How Do Employees Form Initial Trust In Artificial Intelligence: Hard To Explain but Leaders Help)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ar tificial Intelligence. According to news originating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “This study experimen tally investigates initial trust formation in the organizational context of an a rtificial intelligence (AI) system in human resource management (HRM). Drawing o n social exchange theory and leadermember exchange theory, we identify factors that contribute to initial trust in AI through cognitive and affective processin g from the perspective of employees in the Chinese context.”

    Findings from Chinese Academy of Sciences Provides New Data on Robotics (A Porta ble Robot-assisted Device With Built-in Intelligence for Autonomous Ultrasound A cquisitions In Follow-up Diagnosis)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting out of Beijing, People’s Republic of China, by N ewsRx editors, research stated, “Robot-assisted ultrasound (US) offers several t echnological advances over manual US scanning that can more effectively assist i n clinical diagnosis and procedure guidance. However, the adoption of robotic US devices has been hindered by issues of portability and automation, especially i n followed-up diagnosis.”

    Findings on Robotics Reported by Investigators at Qufu Normal University (Adapti ve Tracking Control of Uncertain Robotic Manipulators)

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting from Rizhao, People’s Republic of China, by NewsRx journalists, research stated, “This brief focuses on the tracking control problem of robotic manipulators subject to the uncertainties in both kinematics and dynamics. We use the zeroing-dynamics method to address uncertain kinematic s.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).