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 originating from Guangzhou, People’s Republic of China , by NewsRx correspondents, research stated, “Service robots have been widely in troduced into the hospitality industry and are being extensively utilized.Most existing research has focused on the customer perspective and explored the antec edents of robotic usage experience, leaving the mechanisms of its work-related c onsequences unclear.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Artificial In telligence.According to news reporting from Cambridge, Massachusetts, by NewsRx journalists, research stated, “This study explores English as a Foreign Languag e (EFL) learners’ perceptions of the promise and limitations of EAP Talk, an AI- based speech evaluation system, for speaking practice.Using a mixed-methods app roach, data were collected from 366 EFL learners across five universities throug h questionnaires and semi-structured interviews.”Financial supporters for this research include Xi’an Jiaotong-Liverpool Universi ty and Center for Culture, Communication, Society at Xi’ an Jiaotong-Liverpool U niversity.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning.According to news reporting originating from Shenyang, People’s Republic of Chin a, by NewsRx correspondents, research stated, “The objective of this study is to develop a broadly applicable, high-precision, and robust prediction model for t he drying shrinkage of recycled aggregate concrete, a material that exhibits sig nificantly greater shrinkage compared to natural aggregate concrete due to its c omplex characteristics.To achieve this, the study began by selecting relevant c haracteristic parameters based on international concrete codes, followed by the application of various machine learning algorithms including Backpropagation Neu ral Network, Support Vector Machine, Random Forest, eXtreme Gradient Boosting, G aussian Process Regression, k-Nearest Neighbor, Linear Regression, and Long Shor t-Term Memory to model and forecast the drying shrinkage of recycled aggregate c oncrete.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report.According to news reporting out of Thessaloniki, Greece, by NewsRx editors, research stated, “Most existing robotic harvesters utilize a unimanual approach with a single arm grasping and detaching the crop, either via a detachment movement, or stem cutting by a especially designed gripper/cutter end-effector.However, such unimanual solutions cannot be applied for sensitive crops and cluttered environments such as grapes, where obstacles may occlude the stem, leaving no space for the cutter’s placement.”
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 Ma chine Learning.According to news reporting from New Brunswick, New Jersey, by N ewsRx journalists, research stated, “We report on a novel machine learning metho d for the design optimization of femtosecond (fs) laser written dielectric waveg uides.Experimental results previously obtained from the optical characterizatio n of fs laser written depressed cladding diamond waveguides have been used to fo rm statistically generated regression models.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning.According to news originating from Tallahassee, Florida, by Ne wsRx correspondents, research stated, “This study aims to develop a machine lear ning-based approach to predict adherence to gamified cognitive training using a variety of baseline measures (demographic, attitudinal, and cognitive abilities) as well as game performance data.We aimed to: (1) identify the cognitive games with the strongest adherence prediction and their key performance indicators; ( 2) compare baseline characteristics and game performance indicators for adherenc e prediction, and (3) test ensemble models that use baseline characteristics and game performance data to predict adherence over ten weeks.Research design and m ethod Using machine learning algorithms including logistic regression, ridge reg ression, support vector machines, classification trees, and random forests, we p redicted adherence from weeks 3 to 12.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented.According to news reporting out of Tsukuba, Japan, by NewsRx editors, r esearch stated, “A robot hand-arm that can perform various tasks with the unaffe cted arm could ease the daily lives of patients with a single upper-limb dysfunc tion.A smooth interaction between robot and patient is desirable since their ot her arm functions normally.”
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 artificial intelligence is now available.According to news originating from Tampere, Finland, by NewsR x correspondents, research stated, “Scientific machine learning and physics-info rmed neural networks are novel conceptual approaches that integrate scientific k nowledge with methods from data science and deep learning.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in autonomous intelligence.According to news originating from Central South Univer sity by NewsRx correspondents, research stated, “Metal powder contributes to the environmental burdens of additive manufacturing (AM) substantially.Current lif e cycle assessments (LCAs) of metal powders present considerable variations of l ifecycle environmental inventory due to process divergence, spatial heterogeneit y, or temporal fluctuation.”Financial supporters for this research include National Natural Science Foundati on of China; Project of Guangdong Science And Technology Innovation Strategy.
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 Ma chine Learning.According to news reporting from Elche, Spain, by NewsRx journal ists, research stated, “Making accurate predictions of the true production front ier is critical for reliable efficiency analysis.However, canonical determinist ic methods like Data Envelopment Analysis (DEA) provide approximations of the pr oduction frontier that cannot accommodate noise satisfactorily and suffer from o verfitting.”Financial supporters for this research include MICIU/AEI, European Union (EU), V alencian Community (Spain).
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