查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers led by the University of Oxford have developed a new test to assess howdangerous robotic lawnmowers are to hedgehogs. They hope this will lead to a certification scheme thatwill allow consumers to choose ‘hedgehog-friendly’ mowers to help protect these lovable mammals. [Arange of images and video footage is available via the links in the notes section].Robotic lawnmowers are becoming increasingly popular, however many are concerned that runningthese, especially at night when most hedgehogs are active, could pose a threat to European hedgehogs.This species is already in serious decline, with reasons including habitat loss, road traffic accidents, intensiveagriculture, and injuries from dog bites and garden strimmers. In recent years, many hedgehogrehabilitation centres have reported a significant increase in the numbers of hedgehog injuries caused byrobotic lawnmowers.
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 Machine Learning. According to news reportingoriginating from Bar Harbor, Maine, by NewsRx correspondents, research stated, “The ability to quantifyaging-related changes in histological samples is important, as it allows for evaluation of interventionsintended to effect health span. We used a machine learning architecture that can be trained to detect andquantify these changes in the mouse kidney.”Financial supporters for this research include NIH National Institute on Aging (NIA), National Institutesof Health (NIH) - USA.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligence is the subject of a report. According to newsreporting from Gaithersburg, Maryland, by NewsRx journalists, research stated, “The Kovats retentionindex (RI) is a quantity measured using gas chromatography and is commonly used in the identification ofchemical structures. Creating libraries of observed RI values is a laborious task, so we explore the use of adeep neural network for predicting RI values from structure for standard semipolar columns.”
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 Learning. According to news originating fromShanghai, People’s Republic of China, by NewsRx correspondents, research stated, “The physical unclonablefunctions (PUFs) are novel cryptographic primitives in modern hardware security systems. Compared withtraditional alternatives based on digital keys and non-volatile memory (NVM), the PUF system shows greatunclonability, high efficiency, and physical attack resilience.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting out of Dalian,People’s Republic of China, by NewsRx editors, research stated, “Water depth data products are fundamentalfor the study of near-shore marine science and coastal engineering; therefore, it is essential to identifythe optimal technique for coastal water depth mapping. There are reliable mapping techniques for clearopen waters.”Financial supporters for this research include National Key Research and Development Program ofChina, National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the CentralUniversities, Nanjing University.
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 Machine Learning. According to news reportingoriginating in Irvine, California, by NewsRx journalists, research stated, “Multimodal machine learning(MMML) applications combine results from different modalities in the inference phase to improve predictionaccuracy. Existing MMML fusion strategies use static modality weight assignment, based on the intrinsicvalue of sensor modalities determined during the training phase.”
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 newsoriginating from Zurich, Switzerland, by NewsRx correspondents, research stated, “Over the past twodecades, advances in computational power and data availability combined with increased accessibility topre-trained models have led to an exponential rise in machine learning (ML) publications. While ML mayhave the potential to transform healthcare, this sharp increase in ML research output without focus onmethodological rigor and standard reporting guidelines has fueled a reproducibility crisis.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have been published. According to news reporting outof Bucharest University of Economic Studies by NewsRx editors, research stated, “Over the latest decades,technology has been the driving force for most of the transformations that characterize the professionalwork today.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Thyroidectomy is the subject of a report. According tonews reporting out of Rochester, United States, by NewsRx editors, research stated, “To assess the safetyand effectiveness of bilateral axillo-breast approach robotic thyroidectomy in thyroid tumor. Bilateral axillo-breast approach robotic thyroidectomy and other approaches (open thyroidectomy, transoral roboticthyroidectomy, and bilateral axillo-breast approach endoscopic thyroidectomy) were compared in studiesfrom 6 databases.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on robotics have been published. According to news reportingout of the University of Gdansk by NewsRx editors, research stated, “Robotic Process Automation (RPA)has gained increasing significance in recent years.”Our news correspondents obtained a quote from the research from University of Gdansk: “RPA leveragessoftware bots to automate repetitive business processes traditionally performed by humans, making it oneof the easiest, least invasive, and fastest automation approaches. Publications on the topic are scarce,however, and concerns regarding job loss and employee acceptance of new operational processes andtechnologies remain significant challenges. The additional motivation behind this study is to address thelack of research on the implementation strategy of RPA in the context of ambidexterity, i.e., optimizingenterprise capability in balancing between exploration and exploitation. The paper adopts a managerialperspective and aims to identify the key factors supporting the implementation of RPA in the context ofambidexterity, using an empirical study of service companies as an example. The research methodologyemployed includes literature review, opinion surveys, and statistical analysis. The paper highlights thestimulating role of the ambidexterity concept in RPA implementation projects and strategies, with a hybridapproach to dynamic balancing of exploitation and exploration.”
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