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 from Dongguan, People’s Republic of China, a G3 continuity local s moothing approach is proposed to smooth the toolpath.” Financial supporters for this research include National Key R&D pro gram of China, 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 – Investigators publish new report on ar tificial intelligence. According to news originating from Gangwon Do, South Kore a, by NewsRx correspondents, research stated, “Current machine-learning training focuses solely on accuracy.” Our news journalists obtained a quote from the research from Catholic Kwandong U niversity: “In this study, the weights of other dimensions were examined rather than measuring only the accuracy of machine learning. By comparatively analyzing the decision-making of machine learning and humans in various fields, this stud y examines how well organizational vision is propagated to lower levels of the o rganization. Also, the results evaluated by humans and machine learning models w ere comparatively analyzed from multiple perspectives. As numerical representati on methods of words, count-based models (Bag of Words, TFIDF), artificial neura l network (ANN) models (Word2Vec, GloVe), and a vision propagation measurement ( VPMS) model combining two methods were used to calculate the similarity between documents, which are comparatively analyzed with the actual results measured by an expert group. The findings of this study can be used as an evaluation metric for how effectively the vision of the upper organization is being disseminated t o the lower-level organizations. Additionally, it could be utilized in developin g algorithms such as customer segmentation for target marketing using text data.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on artificial intelligence have bee n presented. According to news reporting originating from Birmingham, United Kin gdom, by NewsRx correspondents, research stated, “The volatile and nonlinear na ture of stock market data, particularly in the post-pandemic era, poses signific ant challenges for accurate financial forecasting.” Funders for this research include Vc Research; Leverhulme Trust. Our news correspondents obtained a quote from the research from Aston University : “To address these challenges, this research develops advanced deep learning an d machine learning algorithms to predict financial trends, quantify risks, and f orecast stock prices, focusing on the technology sector. Our study seeks to answ er the following question: “Which deep learning and supervised machine learning algorithms are the most accurate and efficient in predicting economic trends and stock market prices, and under what conditions do they perform best?” We focus on two advanced recurrent neural network (RNN) models, long short-term memory (L STM) and Gated Recurrent Unit (GRU), to evaluate their efficiency in predicting technology industry stock prices. Additionally, we integrate statistical methods such as autoregressive integrated moving average (ARIMA) and Facebook Prophet a nd machine learning algorithms like Extreme Gradient Boosting (XGBoost) to enhan ce the robustness of our predictions. Unlike classical statistical algorithms, L STM and GRU models can identify and retain important data sequences, enabling mo re accurate predictions.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from the Pak-Austri a Fachhochschule: Institute of Applied Sciences and Technology by NewsRx editors , the research stated, “Decentralized cryptocurrencies like Bitcoin are digital assets with a price volatility nature, that allow for blockchain-based, peer-to- peer monetary transactions.” Funders for this research include The Authors Would Like To Thank The University of Business & Technology (Ubt) For Providing Financial Support Fo r The Publication of?this?research..
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news originating from Changsha, People’s Republi c of China, by NewsRx correspondents, research stated, “The use of artificial in telligence (AI) in high-resolution computed tomography (HRCT) for diagnosing sys temic sclerosisassociated interstitial lung disease (SSc-ILD) is relatively lim ited. This study aimed to analyse lung HRCT images of patients with systemic scl erosis with interstitial lung disease (SSc-ILD) using artificial intelligence (A I), conduct correlation analysis with clinical manifestations and prognosis, and explore the features and prognosis of SSc-ILD.” Our news journalists obtained a quote from the research from the Xiangya Hospita l of Central South University, “Overall, 72 lung HRCT images and clinical data o f 58 patients with SSC-ILD were collected. ILD lesion type, location, and volume on HRCT images were identified and evaluated using AI. The imaging characterist ics of diffuse SSC (dSSc)-ILD and limited SSc-ILD (lSSc-ILD) were statistically analysed. Furthermore, the correlations between lesion type, clinical indicators , and prognosis were investigated. dSSc and lSSc were more prevalent in patients with a disease duration of <1 and 5 years, respectively. SSc-ILD mainly comprises non-specific interstitial pneumonia (NSIP), usual inter stitial pneumonia (UIP), and unclassifiable idiopathic interstitial pneumonia. H RCT reveals various lesion types in the early stages of the disease, with an inc rease in the number of lesion types as the disease progresses. Lesions appearing as grid, ground-glass, and nodular shadows were dispersed throughout both lungs , while those appearing as consolidation shadows and honeycomb were distributed across the lungs. Ground-glass opacity lesion type was absent on HRCT images of patients with SSc-ILD and pulmonary hypertension.”
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 originating from the Indian Institute of Technology Ma dras by NewsRx correspondents, research stated, “Incremental sheet metal forming is a highly versatile die-less forming process for manufacturing complex sheet metal components. Robot-assisted incremental sheet forming, or roboforming, allo ws a wider range of tool motion, providing the capability to shape intricate com ponents.” Financial supporters for this research include Department of Science And Technol ogy, Ministry of Science And Technology, India; Russian Science Foundation.
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 Sao Paulo, Braz il, by NewsRx correspondents, research stated, “This scoping review aims to map studies that applied artificial intelligence (AI) tools to perform health techno logy assessment tasks in human health care. The review also aims to understand s pecific processes in which the AI tools were applied and to comprehend the techn ical characteristics of these tools.” Our news journalists obtained a quote from the research, “Health technology asse ssment is a complex, time-consuming, and labor-intensive endeavor. The developme nt of automation techniques using AI has opened up new avenues for accelerating such assessments in human health settings. This could potentially aid health tec hnology assessment researchers and decision-makers to deliver higher quality evi dence. This review will consider studies that assesses the use of AI tools in an y process of health technology assessment in human health. However, publications in which AI is a means of clinical aid, such as diagnostics or surgery will be excluded. A search for relevant articles will be conducted in databases such as CINAHL (EBSCOhost), Embase (Ovid), MEDLINE (PubMed), Science Direct, Computer an d Applied Sciences Complete (EBSCOhost), LILACS, Scopus, and Web of Science Core Collection. A search for gray literature will be conducted in GreyLit.Org, ProQ uest Dissertations and Theses, Google Scholar, and the Google search engine. No language filters will be applied. Screening, selection, and data extraction will be performed by 2 independent reviewers.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting originating from Singapore, Singapor e, by NewsRx correspondents, research stated, “Robotic painting, particularly in industrial and construction domains, has attracted considerable attention due t o its precision and uniformity. However, current systems are constrained by inad equate precision and effectiveness in painting, particularly when applied to lar ge-scale surfaces.” Financial support for this research came from Agency for Science Technology & Research (A*STAR). Our news editors obtained a quote from the research from Nanyang Technological U niversity, “This article introduces an advanced adaptive robotic painting system that incorporates a mobile manipulator (MM) designed to enhance both accuracy a nd efficiency in indoor surface painting through two innovative submodules: auto mated trajectory generation and MM adaptive control policy (ACP). Initially, to autonomously generate the accurate trajectory, we propose the attention-aware gr aph network for refining 3-D surface model to significantly enhance the accuracy and efficiency of environment modeling. Following this, the RayCast 3-D mapping technique is introduced for precise projection of 2-D images onto arbitrary 3-D surfaces with its flexibility and adaptability. Furthermore, we introduce an MM ACP comprising a trajectory controller and a close-loop whole-body controller. This dual-controller system enables the MM to swiftly move to target poses and s moothly follow trajectories, with the capability to autonomously switch between control paradigms based on task requirements. In addition, Experimental results demonstrate that the proposed automated trajectory generation strategy, coupled with the MM ACP, significantly improves the accuracy of environmental perception and the efficiency of trajectory generation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on artificial intelligence have bee n presented. According to news reporting originating from Beavercreek, United St ates, by NewsRx correspondents, research stated, “Machine learning algorithms ar e becoming increasingly used in a variety of settings but are often black box in nature.” Our news journalists obtained a quote from the research from DCS Corporation: “R ecent work has emphasized the need for algorithms to be more interpretable to en d users, and calibrated classification models (CCMs) are one such type of model. CCMs provide more accurate confidence intervals to the end user, however little research has investigated how CCM confidence estimates and actual classificatio n accuracy impact user performance. Therefore, the current study explored how ex pectations for machine learning algorithms and their actual behaviors influenced task performance and decision time.” According to the news reporters, the research concluded: “Results demonstrated t hat algorithms with high confidence and low classification accuracy led to the l owest performance and highest decision time in an image classification task. Lim itations of the current study are discussed along with future research opportuni ties.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Esophagectom y is the subject of a report. According to news originating from Mainz, Germany, by NewsRx correspondents, research stated, “Minimally invasive esophagectomies, including robot-assisted procedures, have demonstrated superiority over traditi onal open surgery. Despite the prevalence of transhiatal and transthoracic appro aches, cervical access is less common in minimally invasive esophageal surgery.”Our news journalists obtained a quote from the research from the University Medi cal Center of the Johannes Gutenberg University, “Advancements in robotic system s, such as the daVinci Single-Port (SP), now enable controlled transcervical ext rapleural mediastinoscopic access, potentially reducing pulmonary complications and extending surgical options to patients with comorbidities. The daVinci SP Ro bot- Assisted Cervical Esophagectomy (SP-RACE) employs a single port and laparosc opic approach, demonstrating feasibility with comparable lymphadenectomy and rec urrent nerve palsy rates to transthoracic methods. This technique, performed for the first time in Europe at the University Hospital Mainz, involves a transcerv ical SP-phase that allows for effective mediastinal dissection and esophageal mo bilization. Despite technical challenges due to limited space, robotic systems e nhance controlled access and eliminate arm collision. The daVinci SP platform’s advantages include improved triangulation, fewer interferences, and better contr ol of instruments in confined spaces.”
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