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 robotic s. According to news reporting originating from Charlottesville, Virginia, by Ne wsRx correspondents, research stated, “Arthropods’ eyes are effective biological vision systems for object tracking and wide field of view because of their stru ctural uniqueness; however, unlike mammalian eyes, they can hardly acquire the d epth information of a static object because of their monocular cues.” The news journalists obtained a quote from the research from University of Virgi nia: “Therefore, most arthropods rely on motion parallax to track the object in three-dimensional (3D) space. Uniquely, the praying mantis (Mantodea) uses both compound structured eyes and a form of stereopsis and is capable of achieving ob ject recognition in 3D space. Here, by mimicking the vision system of the prayin g mantis using stereoscopically coupled artificial compound eyes, we demonstrate d spatiotemporal object sensing and tracking in 3D space with a wide field of vi ew. Furthermore, to achieve a fast response with minimal latency, data storage/t ransportation, and power consumption, we processed the visual information at the edge of the system using a synaptic device and a federated split learning algor ithm. The designed and fabricated stereoscopic artificial compound eye provides energy-efficient and accurate spatiotemporal object sensing and optical flow tra cking. It exhibits a root mean square error of 0.3 centimeter, consuming only ap proximately 4 millijoules for sensing and tracking.”
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 new report. According to news reporting from the Korea Ins titute of Medical Microrobotics by NewsRx journalists, research stated, “Navigat ion of microcarriers in complex environments as a vascular network remains an op en challenge due to limited solutions for effective targeting strategy.” Financial supporters for this research include Korea Medical Device Development Fund; Ministry of Trade, Industry And Energy.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Beijing, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Riparian v egetation imposes complex flow resistance, influencing hydraulics and morphodyna mics of meandering rivers. Analytical characterizations remain limited regarding flexible foliage reconfiguration and leaf area index (LAI) impacts.” Funders for this research include Significant Science and Technology Project of the Ministry of Water Resources, China, Basic Scientific Research Project of the China Institute of Water Resources and Hydropower Research, National Natural Sc ience Foundation of China (NSFC), Open Research Fund of Key Laboratory of Sedime nt Science and Northern River Training, Ministry of Water Resources, China Insti tute of Water Resources and Hydropower Research.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Munich, German y, by NewsRx journalists, research stated, “Classical statistical analysis of da ta can be complemented or replaced with data analysis based on machine learning. However, in certain disciplines, such as education research, studies are freque ntly limited to small datasets, which raises several questions regarding biases and coincidentally positive results.” The news reporters obtained a quote from the research from Ludwig-Maximilians-Un iversitat Munchen, “In this study, we present a refined approach for evaluating the performance of a binary classification based on machine learning for small d atasets. The approach includes a non-parametric permutation test as a method to quantify the probability of the results generalising to new data. Furthermore, w e found that a repeated nested cross-validation is almost free of biases and yie lds reliable results that are only slightly dependent on chance. Considering the advantages of several evaluation metrics, we suggest a combination of more than one metric to train and evaluate machine learning classifiers. In the specific case that both classes are equally important, the Matthews correlation coefficie nt exhibits the lowest bias and chance for coincidentally good results.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Amst erdam, Netherlands, by NewsRx correspondents, research stated, “The sentences ‘M ore than half of the students passed the exam’ and ‘Fewer than half of the stude nts failed the exam’ describe the same set of situations, and yet the former res ults in shorter reaction times in verification tasks. The two-step model explain s this result by postulating that negative quantifiers contain hidden negation, which involves an extra processing stage.” Funders for this research include European Research Council (ERC), German Resear ch Foundation (DFG).
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 originating from Padua, Italy, by NewsRx corres pondents, research stated, “Material extrusion is a very common and facile addit ive manufacturing technique for ceramic materials, allowing for rapid design and fabrication of 3D structures without expensive tools. However, fabricating soph isticated structures with large spanning parts and overhanging features using th is technology is still a challenge.” Financial supporters for this research include China Scholarship Council, Europe an Union Next- Generation EU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) - MI SSIONE 4 COMPONENTE 2, INVESTIMENTO 1.3).
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 originating in Zhuhai, People’s Republic of China, by NewsRx journalists, research stated, “Due to the advantages of fle xibility, security and economy, small modular reactor (SMR) has become a researc h hotspot in the field of nuclear energy. Gas liquid two-phase flow is one of th e most common phenomena for the research and development of SMR.” The news reporters obtained a quote from the research from Sun Yat-sen Universit y, “An effective two-phase flow pattern prediction model with high accuracy is v ery crucial since it will impact the thermalhydraulic and heat transfer phenome na, and consequently, the safety of SMR. In this paper, support vector machine ( SVM), Random Forest (RF) and K-Nearest Neighbor (KNN) algorithm were chosen as t he candidates of machine learning (ML) models. we selected 12 databases to train and test ML models.”
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 reporting originating from Cali, Colombia, by NewsRx correspondents, research stated, “Traumatic brain injury (T BI) has become a major source of disability worldwide, increasing the interest i n algorithms that use Artificial Intelligence (AI) to optimize the interpretatio n of imaging studies, prognosis estimation, and critical care issues. In this st udy we present a bibliometric analysis and Mini Review on the main uses that hav e been developed for TBI in AI.” Our news editors obtained a quote from the research from the University of Valle , “The results informing this review come from a Scopus database search as of Ap ril 15, 2023. The bibliometric analysis was carried out via the mapping bibliogr aphic metrics method. Knowledge mapping was made in the VOSviewer software (V1.6 .18), analyzing the ‘link strength’ of networks based on co-occurrence of keywor ds, countries co-authorship and co-cited authors. In the mini-review section, we highlight the main findings and contributions of the studies. A total of 495 sc ientific publications were identified from 2000 to 2023, with 9262 citations pub lished since 2013. Among the 160 journals identified, The Journal of Neurotrauma , Frontiers in Neurology, and Plos One where those with the greatest number of p ublications. The most frequently co-occurring keywords were: ‘machine learning’, ‘deep learning’, ‘magnetic resonance imaging’, and ‘intracranial pressure’. The United States accounted for more collaborations than any other country, followe d by United Kingdom and China. Four co-citation author clusters were found, and the top 20 papers were divided into reviews and original articles.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Paragangliomas is the subject of a report. According to news reporting from Lubeck, Germany, by NewsRx journalists, research stated, “Mediastinal paragangliomas are rare. Their dange rousness may unfold during surgery, especially if hormonal activity was previous ly unknown.” Financial support for this research came from Technische Universitat Dresden. The news correspondents obtained a quote from the research from University Hospi tal Schleswig- Holstein, “We report our experience with this case in context to t he incidence and localization of atypically located mediastinal paragangliomas i n the literature. A 69-year-old female patient who was scheduled for thoracoscop ic resection due to a posterior mediastinal tumor that had been progressing in s ize for several years and increasing symptoms. The induction of anesthesia, the ventilation of the lungs and the gas exchange after lung separation was uneventf ul. After initially stable circulatory conditions, there was a sudden increase i n blood pressure up to 300/130 mmHg and tachycardia up to 130/min. This hyperten sive phase was difficult to influence and required a rapid and consistent use of antihypertensive medication to bring down the blood pressure to reasonable valu es. The patient stabilized after tumor resection. The postoperative course was u nremarkable. During the intraoperative blood pressure crisis, blood was drawn fo r analysis. These samples showed elevated concentrations of normetanephrine and metanephrine. The tumor subsequently presented as a catecholamine-secreting para ganglioma. In order to avoid life-threatening blood pressure crises, hormone act ivity should be ruled out preoperatively in the case of mediastinal tumor, in wh ich a paraganglioma could be considered in the differential diagnosis, especiall y if there are indications of hypertension in the medical history.”
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 reporting from Boston, Massachusetts, by News Rx journalists, research stated, “Open RAN (O-RAN) has the potential for revolut ionizing not only cellular communication but also spectrum sensing by carefully controlling uplink/downlink traffic in shared spectrum bands. In this paper, we present the design of SenseORAN, which detects the presence of radar pulses with in the Citizens Broadband Radio Service (CBRS) band.” Financial support for this research came from National Science Foundation (NSF).
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