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 Artificial Intelligence is now available. According to news reporting out of Palo Alto, California, by NewsRx editors, research stated, “Artificial intelligence’s (AI) emergence in ra diology elicits both excitement and uncertainty.” Our news journalists obtained a quote from the research from Stanford University , “AI holds promise for improving radiology with regards to clinical practice, e ducation, and research opportunities. Yet, AI systems are trained on select data sets that can contain bias and inaccuracies.”
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 originating from Mos cow State University of Civil Engineering by NewsRx correspondents, research sta ted, “A step-by-step implementation of a machine learning algorithm for estimati ng the capacity of rectangular sections of reinforced concrete beams is consider ed.” The news reporters obtained a quote from the research from Moscow State Universi ty of Civil Engineering: “In this case, prestressing is not taken into account. Dependencies for strength determination based on analytical models are given, as well as the solution to the linear regression equation. The minimisation of the MSE between the data obtained from the linear regression equation and the analy tical model is used as a metric to assess the quality of the predictions. A prel iminary prediction of the ultimate moment is given in the case of considering a single working rebar and the plastic nature of normal section failure. The appro ach presented has prospects for use in the study of the load-bearing capacity of steel structures.”
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 ro botics. According to news reporting out of the Technische Universitat Berlin by NewsRx editors, research stated, “Indoor inspection robots operating in occupied buildings need to minimize disturbance to occupants and access high areas of a room and cramped spaces obstructed by obstacles for higher inspection coverage.” Financial supporters for this research include China Scholarship Council; Techni sche Universitat Berlin.
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 originating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “This paper presents an asynchronous motion-control approach for undulating-fin amphibious robots, with emphasis on optimizing the phase differences of bilateral fin-surface waves to mitigate the pitch-angle instability typically observed in synchronous control. A comprehensi ve ground dynamics model is used in this study, which facilitates the meticulous analysis of pitch-angle variations.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting from Oklahoma State Univ ersity by NewsRx journalists, research stated, “Wheat is a staple grain crop in the United States and around the world. Weed infestation, particularly grass wee ds, poses significant challenges to wheat production, competing for resources an d reducing grain yield and quality.”
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 Jiang su, People’s Republic of China, by NewsRx correspondents, research stated, “To d evelop and validate natural language processing (NLP)-driven artificial intellig ence (AI) models for the diagnosis of lumbar disc herniation (LDH) with L5 and S 1 radiculopathy using electronic health records (EHRs). EHRs of patients undergo ing single-level Percutaneous Endoscopic Lumbar Discectomy (PELD) for the treatm ent of LDH at the L4/5 or L5/S1 level between June 1, 2013, and December 31, 202 1, were collected.”
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 originating from Zurich, Switzerland, by NewsRx correspondents, research stated, “Cerebrospinal fluid analysis is an imp ortant diagnostic test when assessing a neurological canine patient.” The news correspondents obtained a quote from the research from University of Zu rich: “For this analysis, the total nucleated cell count and differential cell c ounts are routinely taken, but both involve time-consuming manual methods. To in vestigate faster automated methods, in this study, the Sysmex XN-V body fluid mo de and the deep-learning-based algorithm generated by the Olympus VS200 slide sc anner were compared with the manual methods in 161 canine cerebrospinal fluid sa mples for the total nucleated cell count and in 65 samples with pleocytosis for the differential counts. Following incorrect gating by the Sysmex body fluid mod e, all samples were reanalyzed with manually set gates. The Sysmex body fluid mo de then showed a mean bias of 15.19 cells/mL for the total nucleated cell count and mean biases of 4.95% and -4.95% for the two-part differential cell count, while the deep-learning-based algorithm showed mean bi ases of -7.25%, -0.03% and 7.27% for th e lymphocytes, neutrophils and monocytoid cells, respectively. Based on our find ings, we propose that the automated Sysmex body fluid mode be used to measure th e total nucleated cell count in canine cerebrospinal fluid samples after making adjustments to the predefined settings from the manufacturer.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nanotechnology - Nanomaterials is the subject of a report. According to news reporting originating in Durango, Me xico, by NewsRx journalists, research stated, “Scanning tunneling microscopy (ST M) is a key characterization technique that allows for visualization of specific features at nanostructures, given its ability to reveal changes in local charge densities in doping or defective sites. Besides the experimental acquisition of STM data from real samples, there is the theoretical route, which allows for ST M images simulation from ab-initio calculations on defined nanostructures.” Financial support for this research came from National Council of Science and Te chnology (CONAHCYT, Mexico).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Toronto, Canada, by NewsRx corres pondents, research stated, “The digital era has witnessed an escalating dependen ce on digital platforms for news and information, coupled with the advent of ‘de epfake’ technology. Deepfakes, leveraging deep learning models on extensive data sets of voice recordings and images, pose substantial threats to media authenti city, potentially leading to unethical misuse such as impersonation and the diss emination of false information.”
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 Machine Learning. According to news reporting originating from Shanghai, People’ s Republic of China, by NewsRx correspondents, research stated, “Few studies rep orted using the convolutional neural network with transfer learning to finely cl assify the construction and demolition waste. This study aims to develop a highl y efficient method to realize the finely sorting the construction and demolition waste, which is a key step for promoting the recycling system to realize carbon neutrality in the waste management sector.” Financial supporters for this research include National Key RAMP;D Program of Ch ina, National Natural Science Foundation of China (NSFC), Shanghai Municipal Sci ence and Technology Major Project, Fundamental Research Funds for the Central Un iversities, International Postdoctoral Exchange Fellowship Program.
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