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 Artificial In telligence have been published. According to news reporting out of Karlstad, Swe den, by NewsRx editors, the research stated, “Since the end of 2022, global disc ussions on Artificial Intelligence (AI) have surged, influencing diverse societa l groups, such as teachers, students and policymakers. This case study focuses o n Swedish primary school students aged 11-12.” Financial support for this research came from Karlstad University.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Support Vector Machines have been published. According to news originating from Guiyang, People’s Republ ic of China, by NewsRx correspondents, research stated, “In the past decades, a variety of learning-based algorithms have been emerged to try to explore a bette r solution for stereo matching by leveraging various machine learning algorithms . For enriching learning-based stereo matching algorithm’s methodologies, we cas t the disparity estimation as a regression problem by leveraging Structured Supp ort Vector Machine (SSVM) in this paper.” Funders for this research include Guizhou Provincial Science and Technology Proj ects, Guizhou Provincial BasicResearch Program, Science and Technology Program o f GuiYang.
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 the Swiss Federal Institute of Technology Zurich (ETH) by NewsRx correspondents, research stated, “We repor t the results of a 4800-respondent survey among students at a technical universi ty regarding their usage of artificial intelligence tools, as well as their expe ctations and attitudes about these tools.” The news editors obtained a quote from the research from Swiss Federal Institute of Technology Zurich (ETH): “We find that many students have come to differenti ated and thoughtful views and decisions regarding the use of artificial intellig ence. The majority of students wishes AI to be integrated into their studies, an d several wish that the university would provide tools that are based on reliabl e, university-level materials. We find that acceptance of and attitudes about ar tificial intelligence vary across academic disciplines.”
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 Machine Learning is now available. According to news reporting from Brooklyn, New York, by NewsRx journ alists, research stated, “Accurate estimation of the ultimate axial load bearing capacity of piles is necessary to ensure the safety of the supported structures and to prevent cost overruns. Traditional mechanics-based design methods do not always predict pile capacity accurately, or precisely, leaving room for improve ment.” Financial support for this research came from Institute of Design and Constructi on Foundation.
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 Stuttgart, Germany, by NewsRx editors, research stated, “Collective robotic construction (CRC) is an e merging approach to construction automation based on the collaboration among tea ms of small mobile robots. This paper enhances an existing modular CRC system, s howcasing its capability to assemble full-scale in -plane timber structures.” Financial supporters for this research include German Research Foundation (DFG), Federal Institute for Research on Building, Urban Affairs and Spatial Developme nt.
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 - Ro botics and Automation have been published. According to news reporting out of Ne wcastle upon Tyne, United Kingdom, by NewsRx editors, research stated, “In this letter, we propose rWiFiSLAM, an indoor localisation system based on WiFi rangin g measurements. Indoor localisation techniques play an important role in mobile robots when they cannot access good quality GPS signals in indoor environments.” Our news journalists obtained a quote from the research from Newcastle Universit y, “Indoor localisation also has many other applications, such as rescue, smart buildings, etc. Inertial Measurement Units (IMU) have been used for Pedestrian D ead Reckoning (PDR) to provide localisation services in the indoor environment a s it does not rely on any other signals. Although PDR is a promising technique, it still suffers from unavoidable noise and bias from IMUs in mobile devices. Lo op closure is necessary for these scenarios. In this letter, we design an effici ent loop closure mechanism based on WiFi ranging measurements along with IMU mea surements in a robust pose graph SLAM framework for indoor localisation. One nov elty of the proposed method is that we remove the requirement of the full knowle dge of the WiFi access point locations, which makes our proposed method feasible for new and/or dynamic environments.”
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 report. According to news reporting from Cangzhou, People’s Republic of C hina, by NewsRx journalists, research stated, “Intramedullary nail fixation of i ntertrochanteric fractures assisted by orthopedic surgical robot navigation is a new surgical method, but there are few studies comparing its efficacy with trad itional intramedullary nail fixation. We aimed to assess whether robot-assisted internal fixation confers certain surgical advantages through a literature revie w.” The news correspondents obtained a quote from the research from the Department o f Orthopedics, “PubMed, EMBASE, Cochrane Library, China National Knowledge Infra structure (CNKI) and Wan fang Data Knowledge service Platform were searched to c ollect randomized and non-randomized studies on patients with calcaneal fracture s. Five studies were identified to compare the clinical indexes. For the clinica l indexes, the technology of robot-assisted is generally feasible, in time to op eration, intraoperative fluoroscopy times, blood loss, pine insertion, tip apex distance (TAD), and Harris score (P <0.05). However, on th e complication and excellent and good rate after operation did not show good eff icacy compared with the traditional group (P > 0.05). Ba sed on the current evidence, For the short-term clinical index, the advantages o f robot-assisted are clear. The long-term clinical effects of the two methods ar e also good, but the robot-assisted shows better.”
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 from the University of Delaware by NewsRx journalists, research stated, “This paper presents a modular approach to motion planning with provable stability guarantees for robots that move through changin g environments via periodic locomotion behaviors.” Financial supporters for this research include Division of Computer And Network Systems; Division of Information And Intelligent Systems.
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 out of Tempe, Arizona, by NewsRx edi tors, research stated, “Data collection at X-ray free electron lasers has partic ular experimental challenges, such as continuous sample delivery or the use of n ovel ultrafast high-dynamic-range gain-switching X-ray detectors. This can resul t in a multitude of data artefacts, which can be detrimental to accurately deter mining structure-factor amplitudes for serial crystallography or single-particle imaging experiments.” Funders for this research include National Science Foundation (NSF), Biodesign C enter for Applied Structural Discovery at Arizona State University, United State s Department of Energy (DOE).
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 reporting out of Wollega University by NewsR x editors, research stated, “Automated disease diagnosis and prediction, powered by AI, play a crucial role in enabling medical professionals to deliver effecti ve care to patients.”The news reporters obtained a quote from the research from Wollega University: “ While such predictive tools have been extensively explored in resource-rich lang uages like English, this manuscript focuses on predicting disease categories aut omatically from symptoms documented in the Afaan Oromo language, employing vario us classification algorithms. This study encompasses machine learning techniques such as support vector machines, random forests, logistic regression, and Naive Bayes, as well as deep learning approaches including LSTM, GRU, and Bi-LSTM. Du e to the unavailability of a standard corpus, we prepared three data sets with d ifferent numbers of patient symptoms arranged into 10 categories. The two featur e representations, TF-IDF and word embedding, were employed. The performance of the proposed methodology has been evaluated using accuracy, recall, precision, a nd F1 score. The experimental results show that, among machine learning models, the SVM model using TF-IDF had the highest accuracy and F1 score of 94.7% , while the LSTM model using word2vec embedding showed an accuracy rate of 95.7% and F1 score of 96.0% from deep learning models.”
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