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 Stock holm, Sweden, by NewsRx correspondents, research stated, “Image-based artificial intelligence (AI) methods have shown high accuracy in prostate cancer (PCa) det ection. Their impact on patient outcomes and cost effectiveness in comparison to human pathologists remains unknown.” Our news editors obtained a quote from the research from Karolinska Institute, “ Our aim was to evaluate the effectiveness and cost-effectiveness of AI-assisted pathology for PCa diagnosis in Sweden. We modeled quadrennial prostate-specific antigen (PSA) screening for men between the ages of 50 and 74 yr over a lifetime horizon using a health care perspective. Men with PSA 3 ng/ml were referred for standard biopsy (SBx), for which cores were either examined via AI followed by a pathologist for AI-labeled positive cores, or a pathologist alone. The AI perf ormance characteristics were estimated using an internal STHLM3 validation data set. Outcome measures included the number of tests, PCa incidence and mortality, overdiagnosis, quality-adjusted life years (QALYs), and the potential reduction in pathologist-evaluated biopsy cores if AI were used. Cost-effectiveness was a ssessed using the incremental cost-effectiveness ratio. In comparison to a patho logist alone, the AI-assisted workflow increased the number of PSA tests, SBx pr ocedures, and PCa deaths by 0.03%, and slightly reduced PCa inciden ce and overdiagnosis. AI would reduce the proportion of biopsy cores evaluated b y a pathologist by 80%. At a cost of €0 per case, the AI-assisted workflow would cost less and result in <0.001% lower QALYs in comparison to a pathologist alone. The results were sensitive to the AI cost. According to our model, AI-assisted pathology would significantly d ecrease the workload of pathologists, would not affect patient quality of life, and would yield cost savings in Sweden when compared to a human pathologist alon e. We compared outcomes for prostate cancer patients and relevant costs for two methods of assessing prostate biopsies in Sweden: (1) artificial intelligence (A I) technology and review of positive biopsies by a human pathologist; and (2) a human pathologist alone for all biopsies. We found that addition of AI would red uce the pathology workload and save money, and would not affect patient outcomes when compared to a human pathologist alone.”
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 Robotics is now availab le. According to news originating from Vancouver, Canada, by NewsRx corresponden ts, research stated, “Pre-programmed welding robots significantly improved the e fficiency and quality of the welds in large batch production. In small and mediu m batch production, the robots need appropriate sensors to perform well and adap t to the changes and uncertainties in a noisy welding environment.” Our news journalists obtained a quote from the research from the University of B ritish Columbia, “Vision-based sensors enabled by machine learning are making it possible to sense in process previously not measurable. One challenge is develo ping artificial intelligent models capable of real-time seam tracking, particula rly in fillet joints where visual analysis is hindered by non-perpendicular came ra angles and arc reflections. In this paper, we propose a vision system that en ables automated seam tracking with a collaborative robot. The vision-based deep learning classification model detects the tacks, where the seam is not visible. It is based on a keypoint detection deep learning model that addresses the chall enges in distorted and noisy images of fillet joints between the pipes and flang es during the real-time Gas Metal Arc Welding to track the location of the seam in non tack images. The system is optimized for real time seam tracking by propo sing the appropriate input image size. Multiple images and multiple points are a lso considered to provide a controllable signal of the location of the seam with less errors and outliers. Our proposed model can track the seam with more than 80 percent accuracy for errors less than 0.3 mm in fillet joints. The high accur acy of the proposed method would result in fewer flaws and defects and reduced r ework, resulting in significant cost saving in manufacturing.”
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 originating from Dalian, People’s Repub lic of China, by NewsRx correspondents, research stated, “A key requirement for product design is the ability to capture the physical features of structures qui ckly and efficiently. One way to achieve this purpose is to use machine learning to support topology optimization.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Liao Ni ng Revitalization Talents Program, Fundamental Research Funds for the Central Un iversities, Program for Changjiang Scholars & Innovative Research Team in University (PCSIRT), Ministry of Education, China - 111 Project.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting out of Milan, Italy, by NewsRx editors, research st ated, “PurposeThis paper aims to use Bayesian network (BN) methodology complemen ted by machine learning (ML) and what-if analysis to investigate the impact of d igital technologies (DT) on logistics service quality (LSQ), this study estimates the probability distributio ns associated with both DT and SERVQUAL logistics, as well as their interrelatio nships.” Financial support for this research came from European Union-NextGenerationEU.
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 National Yunlin University of Science and Technology by NewsRx editors, the research stated, “CMOS image se nsor (CIS) semiconductor products are integral to mobile phones and photographic devices, necessitating ongoing enhancements in efficiency and quality for super ior photographic outcomes.” Financial supporters for this research include National Science And Technology C ouncil, Taiwan.
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 Machine Learning. According to news reporting originating from Jiangsu, People’s Republ ic of China, by NewsRx correspondents, research stated, “Coal roadway fault zone s typically rely on multiple re -excavations and repeated reinforcements for con trol, posing challenges in achieving precise control of the initial support stre ngth of the roadway. Therefore, predicting the deformation of the surrounding ro ck during the stability phase of fault zone excavation is a prerequisite for the precise control of the initial support strength.” Funders for this research include National Natural Science Foundation of China ( NSFC), Graduate Innovation Program of China University of Mining and Technology, Fundamental Research Funds for the Central Universities, Postgraduate Research & Practice Innovation Program of Jiangsu Province.
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 Machine Learning. According to news reporting originating from Toulouse, France, by New sRx correspondents, research stated, “In an increasingly competitive and digital industrial environment, the optimization of structures is a key point not only to reduce costs but also to reduce the consumption of natural resources. To this end, different approaches have emerged throughout history based on the tools av ailable at the time.” Our news editors obtained a quote from the research from the University of Toulo use, “With the current rise of artificial intelligence and the concept of machin e learning, revolutionary ideas are emerging that allow an optimal dimensioning of structures in record time. This work presents the use of variational autoenco ders and mixed-variable solvers as a proposal for structural optimization and ma terial selection. It has expanded upon previous research by advancing in three d irections: (1) incorporating more material attributes, particularly relevant for environmental considerations; (2) analyzing in more detail aspects of VAEs such as the dimensionality of the latent space; and (3) a two-step hybrid approach t o select the optimal candidate: preliminary filtering with VAE and final design via mixed-variable model.”
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 - Intelligent Systems are discussed in a new report. According to news originati ng from Henan, People’s Republic of China, by NewsRx correspondents, research st ated, “The incorporation of thermal imaging data in RGB-T images has demonstrate d its usefulness in cross-modal crowd counting by offering complementary informa tion to RGB representations. Despite achieving satisfactory results in RGB-T cro wd counting, many existing methods still face two significant limitations: (1) T he oversight of the heterogeneous gap between modalities complicates the effecti ve integration of multimodal features. (2) The absence of mining consistency hin ders the full exploitation of the unique complementary strengths inherent in eac h modality.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC).
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 - Intel ligent Systems are presented in a new report. According to news originating from Shanxi, People’s Republic of China, by NewsRx correspondents, research stated, “Robust matching, especially the number, precision and distribution of feature p oint matching, directly affects the effect of 3D reconstruction. However, the ex isting methods rarely consider these three aspects comprehensively to improve th e quality of feature matching, which in turn affects the effect of 3D reconstruc tion.” Funders for this research include Natural Science Foundation of Shanxi Province, Natural Science Foundation of Shanxi Province, National Natural Science Foundat ion of China (NSFC).
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 National Cent ral University by NewsRx journalists, research stated, “In recent years, the fie ld of learning analytics has gained significant attention as educators and resea rchers seek to understand and optimize the learning process in online learning s ystems. This paper presents a novel methodology for predicting learning performa nce in online learning systems by leveraging natural language processing (NLP) a nd embedding techniques.” Financial supporters for this research include National Science And Technology C ouncil.
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