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 artific ial intelligence. According to news originating from Urmia University of Medical Sciences by NewsRx editors, the research stated, “Artificial intelligence (AI) and its techniques are a rapidly growing field and are being used in various fie lds, including healthcare and many others.” Our news journalists obtained a quote from the research from Urmia University of Medical Sciences: “Medical entomology is one of the important sectors in health care. Diseases transmitted through carriers impose a great economic and social burden on the health of society. Mosquito-borne diseases pose major challenges t o human health, affecting more than 600 million people and killing more than 1 m illion people each year. In the current study, we reviewed more than 30 papers i n PubMed and Google Scholar that dealt with the application of artificial intell igence techniques in medical entomology.”
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 originating from Fisciano, Italy, by NewsRx correspon dents, research stated, “This paper addresses the phenomenon of sloshing and the issues that arise during liquid handling at visual inspection stations. The pha rmaceutical industry, recently put under pressure by the pandemic, has long adop ted modular solutions consisting mainly of robotic islands.” The news reporters obtained a quote from the research from University of Salerno : “This work focuses on a visual inspection island for glass vials and ampules c alled VRU. This machine uses robotic arms to optimize the inspection process and enables automated control of a wide range of products using image recognition t echniques and AI algorithms. However, the handling of containers in the presence of liquids requires special precautions to avoid the occurrence of bubbles insi de the fluid that can prevent the cameras from correctly capturing any defects p resent. The banal solution involves a drastic reduction in the speeds and accele rations to which the liquids are subjected. However, using appropriate technique s makes it possible to achieve performance values similar to those obtainable wh en manipulating solid materials. The developed algorithms were tested using mult ibody simulations in the Mathworks Simscape environment and then validated using a six-axis Fanuc robot. In this study, however, the analysis conducted aimed to determine the correlations between trajectories, laws of motion, and sloshing i n containers handled at high speed in industrial applications.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Beijing, People’s Republic o f China, by NewsRx correspondents, research stated, “Soft fingers play an increa singly important role in robotic grippers to achieve adaptive grasping with vari able stiffness features. Previous studies of soft finger design have primarily f ocused on the optimization of the structural parameters of existing finger struc tures, but limited efforts have been put into the design methodology from fundam ental grasping mechanisms to finger structures with desired grasping force featu res.” Financial supporters for this research include Beijing University of Civil Engin eering and Architecture (BUCEA) Project, BUCEA Post Graduate Innovation Project.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subjec t of a new report. According to news originating from Wenzhou, People’s Republic of China, by NewsRx editors, the research stated, “Currently, intelligent robot ics is supplanting traditional industrial applications.” Funders for this research include China Postdoctoral Science Foundation; Natural Science Foundation of Zhejiang Provincial; Wenzhou Major Technology Innovation Project; Wenzhou Industrial Science And Technology Project; Wenzhou Association For Science And Technology; Hunan Provincial Natural Science Foundation of China .
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 originating from Beijing, People’s Repu blic of China, by NewsRx editors, the research stated, “This paper presents a fa ult-tolerant heading-control method for a bionic gliding robotic dolphin operati ng in the presence of flipper faults. To achieve both high manoeuvrability and l ong endurance, a bionic gliding robotic dolphin that integrates the propulsion m odes of dolphins and underwater gliders is introduced.” Funders for this research include National Natural Science Foundation of China ( NSFC), Beijing Municipal Science & Technology Commission.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from Madrid, Spain, by NewsRx correspondents, research stated, “Generative Artificial Intelligence ( GAI) is a technology that provides greater connectivity with people through conv ersational bots (‘chatbots’). These bots can engage in dialogue using natural la nguage indistinguishable from humans and are a potential source of information f or patients.The aim of this study is to examine the performance of these bots in solving specific issues related to orthopedic surgery and traumatology using qu estions from the Spanish MIR exam between 2008 and 2023.” Our news journalists obtained a quote from the research from the Department of O rthopedic Surgery and Traumatology, “Three ‘chatbot’ models (ChatGPT, BARD and P erplexity) were analyzed by answering 114 questions from the MIR. Their accuracy was compared, the readability of their responses was evaluated, and their depen dence on logical reasoning and internal and external information was examined. T he type of error was also evaluated in the failures. ChatGPT obtained 72.81% correct answers, followed by Perplexity (67.54%) and BARD (60.53% ).BARD provides the most readable and comprehensive responses. The responses dem onstrated logical reasoning and the use of internal information from the questio n prompts. In 16 questions (14%), all three applications failed sim ultaneously.Errors were identified, including logical and information failures. While conversational bots can be useful in resolving medical questions, caution is advised due to the possibility of errors.”
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 Robotics. According to news reporting out of London, United Kingdom, by NewsRx e ditors, research stated, “Tactile sensing plays an irreplaceable role in robotic material recognition. It enables robots to distinguish material properties such as their local geometry and textures, especially for materials like textiles.” Financial support for this research came from Engineering & Physic al Sciences Research Council (EPSRC).
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 originating from Huelva, Spain, by NewsRx cor respondents, research stated, “Changes in the endogenous phenolic content of pla nt rooting could be influenced by genotype, hormones, or the interaction of both factors, thus modifying the plant rooting capacity/ability along the rooting de velopment. In this study, the combined effects of IBA treatment and cultivar cap acity on the rooting development of olive cuttings were modeled by the temporary assessment of simple and total phenolic content (TPC).” Our news journalists obtained a quote from the research from the Department of A groforestry Sciences, “Rooting ability and phenolic profile were monitored. Resu lts indicated the lowest cumulative rooting in ‘Lechin-de-Sevilla, <acute accent > and the highest rooting speed during the first days of the trial in high-rooting cultivars (‘Verdial-de-Hue <acute accent >var’ and ‘Arbequina’). A total of 14 pheno lic compounds comprising phenolic acids and aldehyde (8), flavonoids (5), and a glycosylated seco-iridoid were quantified in rooted olive cuttings. Most of the phenolics presented a significant higher concentration in the ‘Lechin-de-Sevilla ’ cultivar, except for the ferulic acid and luteolin, as well the TPC that varie d as did the rooting parameter. At the end of the rooting trial (60 days), luteo lin in ‘Verdial de Hue <acute accent > var’ and ‘Gordal sevillana’ cultivars and ferulic acid in ‘Lechin de Sevilla’ we re the phenolics exclusively found in the highest concentrations. Time did not a ffect vanillin and oleuropein, although in the case of high-rooting cultivars, v alues for these compounds were almost constant, while in low- or medium-rooting cultivars, by general, increased or decreased, respectively.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from San Diego, Californi a, by NewsRx correspondents, research stated, “This study proposes an approach t o measure conservatism using machine learning techniques that are not constraine d by functional form restrictions.” Our news journalists obtained a quote from the research from the University of C alifornia San Diego (UCSD), “We extend the differential timeliness model to allo w for observable characteristics related to conservatism to follow nonlinear rel ationships. By developing machine learning measures of conservatism, we draw att ention to potential benefits and drawbacks and show how its insights complement conventional measures.”
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 National University of Uzbekistan b y NewsRx journalists, research stated, “This paper presents a dataset and approa ches to named entity recognition (NLP) in Uzbek language, in a resource-constrai ned language environment.” Our news reporters obtained a quote from the research from National University o f Uzbekistan: “Despite the increase in NLP applications, the Uzbek language is s till underrepresented, which underscores the importance of our work. Our dataset includes 1,160 sentences with nearly 19,000 word forms annotated for parts of s peech and named entities, making it a valuable resource for linguistic research and machine learning applications in Uzbek. In addition, for practical applicati on and experiments, the authors have developed two algorithms that, using this d ictionary, identifies named entities in Uzbek language texts. In addition, the a uthors described the methodology for creating the dataset, the design of the alg orithms, and their application to the Uzbek language. This study not only provid es an important dataset for future named entity recognition(NER) tasks in the Uz bek language, but also offers a methodological basis for the use of vocabulary-b ased NER or Machine learning NER in other low-resource languages (e.g. Karakalpa k).”
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