查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Inventors and researchers have been de veloping robots for almost 70 years. To date, all the machines they have built - whether for factories or elsewhere - have had one thing in common: they are pow ered by motors, a technology that is already 200 years old. Even walking robots feature arms and legs that are powered by motors, not by muscles as in humans an d animals. This in part suggests why they lack the mobility and adaptability of living creatures.
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 in Rotterdam, Netherlands, by NewsRx journalists, research stated, “Online grocers typically let customers ch oose a delivery time slot to receive their goods. To ensure reliable service, th e retailer may want to close time slots as capacity fills up.” Financial support for this research came from Netherlands Organization for Scien tific Research under the City Logistics Living Laboratory project.
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 robotics have bee n published. According to news originating from Maharashtra, India, by NewsRx co rrespondents, research stated, “The quality of okra is crucial in satisfying con sumer expectations, and the tenderness of okra is an essential parameter in esti mating its condition. However, the current methods for assessing okra tenderness are slow and prone to errors, necessitating the development of a better, non-de structive method.” Funders for this research include Valencia Government; Nahep, World Bank Project Authority, Icar, New Delhi, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbha ni Project Centre.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Biotechnology - Bioinformatics is the subject of a report. According to news originating from Suzhou, People’s Re public of China, by NewsRx correspondents, research stated, “Kawasaki disease (K D) is a systemic vasculitis primarily affecting the coronary arteries in childre n. Despite growing attention to its symptoms and pathogenesis, the exact mechani sms of KD remain unclear.”
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 Presidente Pru dente, Brazil, by NewsRx correspondents, research stated, “Early soybean yield e stimation has become a fundamental tool for market policy and food security.” Financial supporters for this research include Sao Paulo Research Foundation Fap esp; National Council For Scientific And Technological Development Cnpq; Coorden acao De Aperfeicoamento De Pessoal De Nivel Superior.
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 La Jolla, Cali fornia, by NewsRx journalists, research stated, “Immune Checkpoint Blockade (ICB ) has revolutionized cancer treatment, however the mechanisms determining patien t response remain poorly understood. Here, we used machine learning to predict I CB response from germline and somatic biomarkers and interpreted the learned mod el to uncover putative mechanisms driving superior outcomes.”
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 reporting originating in Kuala Lumpur, Malaysia, b y NewsRx journalists, research stated, “Regional Wall Motion Abnormality (RWMA) serves as an early indicator of myocardial infarction (MI), the global leader in mortality. Accurate and early detection of RWMA is vital for the successful tre atment of MI.” The news reporters obtained a quote from the research from the University of Mal aya, “Current automated echocardiography analyses typically concentrate on peak values from left ventricular (LV) dis-placement curves, based on LV contour annot ations or key frames during the heart’s systolic or diastolic phases within a si ngle echocardiographic cycle. This approach may overlook the rich motion field f eatures available in multi-cycle cardiac data, which could enhance RWMA detectio n. In this research, we put forward an innovative approach to detect RWMA by har nessing motion information across multiple echocardiographic cycles and multi-vi ews. Our methodology synergizes U-Net-based segmentation with optical flow algor ithms for detailed cardiac structure delineation, and Temporal Convolutional Net works (ConvNet) to extract nuanced motion features. We utilize a variety of mach ine learning and deep learning classifiers on both A2C and A4C views echocardiog rams to enhance detection accuracy. A three-phase algorithm-originating from the HMC-QU dataset-incorporates U-Net for segmentation, followed by optical flow fo r cardiac wall motion field features. Temporal ConvNet, inspired by the Temporal Segment Network (TSN), is then applied to interpret these motion field features , independent of traditional cardiac parameter curves or specific key phase fram e inputs. Employing five-fold cross-validation, our SVM classifier demonstrated high performance, with a sensitivity of 93.13%, specificity of 83.6 1%, precision of 88.52%, and an F1 score of 90.39% . When compared with other studies using the HMC-QU datasets, these Fig s stand out, underlining our method’s effectiveness. The classifier also attained an ove rall accuracy of 89.25% and Area Under the Curve (AUC) of 95% , reinforcing its potential for reliable RWMA detection in echocardiographic ana lysis.”
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 Machine Learn ing have been published. According to news reporting from Hamburg, Germany, by N ewsRx journalists, research stated, “Magnetic field generators are a key compone nt of Magnetic Particle Imaging (MPI) systems, and their power consumption is a major obstacle on the path to human-sized scanners. Despite their importance, a focused discussion of these generators is rare, and a comprehensive description of the design process is currently lacking.” Funders for this research include Funding Programme Open Access Publishing of Ha mburg University of Technology (TUHH), Projekt DEAL.
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 artificial intelligence. According to news reporting originating from Jinan, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Trafficrel ated air pollution (TRAP) is a major contributor to urban pollution and varies s harply at the street level, posing a challenge for air quality modeling. Traditi onal land use regression models combined with data from fixed monitoring station s may be unable to predict and characterize fine-scale TRAP, especially in compl ex urban environments influenced by various features.”
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 from Bari, Italy, by N ewsRx journalists, research stated, “Risk stratification and treatment benefit p rediction models are urgent to improve negative sentinel lymph node (SLN-) melan oma patient selection, thus avoiding costly and toxic treatments in patients at low risk of recurrence. To this end, the application of artificial intelligence (AI) could help clinicians to better calculate the recurrence risk and choose wh ether to perform adjuvant therapy.”
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