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 to newsreporting out of Leuven, Belgi um, by NewsRx editors, the research stated, “The development of artificialintel ligence necessarily implies the anthropological question of the difference betwe en human and artificialintelligence for two reasons: on the one hand artificial intelligence tends to be conceived on the model ofhuman intelligence, on the o ther hand, a large part of types of artificial intelligence are designed in orde rto exhibit at least some features of what is conceived as being human intellig ence. In this article I addressthis anthropological question in two parts.”
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 originating fromQuito, Ecuador, by NewsRx corresp ondents, research stated, “The prediction of possible lead compoundsfrom alread y-known drugs that may present DPP-4 inhibition activity imply a advantage in th e drugdevelopment in terms of time and cost to find alternative medicines for t he treatment of Type 2 DiabetesMellitus (T2DM). The inhibition of dipeptidyl pe ptidase-4 (DPP-4) has been one of the most exploredstrategies to develop potent ial drugs against this condition.”
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 Harbin, People’s Repub lic of China, by NewsRx journalists, research stated, “This studyfocuses on eva luating the load-bearing capacity of cold-formed steel (CFS) equal lipped angle components.It delves into the structural behavior and design methods, taking in to account various edge conditions andbuckling modes.”
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 reportingfrom Waterloo, Canada, by NewsRx journalists, research stated, “Monitoring sea ice in the Arctic regionis crucia l for polar maritime activities.”Financial supporters for this research include Natural Sciences And Engineering Research Council ofCanada.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Transportat ion - Intelligent Transport Systems. Accordingto news reporting out of Xi’an, P eople’s Republic of China, by NewsRx editors, research stated, “In thecooperati ve vehicle-infrastructure system (CVIS), due to its computation limitation, vehi cles are difficultto handle computing-intensive delay-sensitive tasks, so offlo ad tasks to roadside unit (RSU) becomepopular. Due to the complexity of vehicle s’ tasks and tasks generated by different vehicles have differentdelay constrai nts, minimize energy consumption of RSUs under task dependence and delay constra ints ischallenging.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cardiovascular Disease s and Conditions - Hypertension is the subjectof a report. According to news re porting out of Glasgow, United Kingdom, by NewsRx editors, researchstated, “Ina ccurate blood pressure (BP) classification results in inappropriate treatment. W e testedwhether machine learning (ML), using routine clinical data, can serve a s a reliable alternative to ambulatoryBP monitoring (ABPM) in classifying BP st atus.”
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 to news reporting from Berlin, Germany, by NewsRx journalists, research stated, “A reference method forquantifying con taminations on two-piece abutments manufactured using CAD/CAM has not yet beene stablished. In the present in vitro study, a pixel-based machine learning (ML) m ethod for detectingcontamination on customized two-piece abutments was investig ated and embedded in a semiautomatedquantification pipeline.”
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 newsreporting originating from Singapore, S ingapore, by NewsRx correspondents, research stated, “Machinelearning (ML) meth ods are increasingly used to assess variable importance, but such black box mode ls lackstability when limited in sample sizes, and do not formally indicate non -important factors. The Shapleyvariable importance cloud (ShapleyVIC) addresses these limitations by assessing variable importance froman ensemble of regressi on models, which enhances robustness while maintaining interpretability, and estimates uncertainty of overall importance to formally test its significance.”
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 Su pport Vector Machines. According to news reporting originating from Johor Baharu , Malaysia, by NewsRx correspondents, research stated, “This workcombines the S upport Vector Machine (SVM) model with Ensemble Empirical Mode Decomposition (EEMD) to present a novel method for drought prediction. The EEMD-SVM model is asse ssed for droughtforecasting, comparing it to conventional Auto Regressive Integ rated Moving Average (ARIMA) and SVMmodels.”
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 originating from the Vels Institute of Scie nce by NewsRx correspondents, research stated, “Fashion trend forecastingis a c rucial task for both academia and industry.”The news correspondents obtained a quote from the research from Vels Institute o f Science: “Althoughsome efforts have been devoted to tackling this challenging task, they only studied limited fashion elementswith highly seasonal or simple patterns, which could hardly reveal the real fashion trends. Towards insightfulfashion trend forecasting, this work focuses on investigating fine-grained fash ion element trends for specificuser groups. We first contribute a large-scale f ashion trend dataset (FIT) collected from social media withextracted time serie s fashion element records and user information. Furthermore, to effectively mode l thetime series data of fashion elements with rather complex patterns, we prop ose a Machine Learning whichtakes advantage of the capability in modeling time series data. Moreover, it leverages internal and externalknowledge in fashion d omain that affects the time-series patterns of fashion element trends.”
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