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 - Arthroplasty is the subject of a report. According to news reporting originating from Newcas tle upon Tyne, United Kingdom, by NewsRx correspondents, research stated, “The a im was to assess whether robotic-assisted total knee arthroplasty (rTKA) had gre ater kneespecific outcomes, improved fulfilment of expectations, health-related quality of life (HRQoL), and patient satisfaction when compared with manual TKA (mTKA). A randomized controlled trial was undertaken (May 2019 to December 2021 ), and patients were allocated to either mTKA or rTKA.”
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 from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Energy is one of the primary challenges i n the long-term operation of robotic fish.” Financial supporters for this research include Key Laboratory of Port, Waterway & Sedimentation Engineering Ministry of Communications, Prc; Natio nal Natural Science Foundation of China.
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 Robotics - Ro botics and Automation have been published. According to news reporting from Aust in, Texas, by NewsRx journalists, research stated, “Effectively predicting inten t and behavior requires inferring leadership in multi-agent interactions. Dynami c games provide an expressive theoretical framework for modeling these interacti ons.” Financial support for this research came from National Science Foundation (NSF).
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 out of Caen, France, by NewsR x editors, research stated, “We present a modification to selfconsistent charge density functional-based tight binding (SCC-DFTB), which allows computation bas ed on approximate atomic charges. We obtain these charges by means of a machine learning (ML) process that combines a Coulomb model with a neural network.”
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 reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “The issue of marine litter ha s been an important concern for marine environmental protection for a long time, especially underwater litter.” Funders for this research include National Natural Science Foundation of China; Creative Activity Plan For Science And Technology Commission of Shanghai.
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 reporting originating from Beijing, People’ s Republic of China, by NewsRx correspondents, research stated, “Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associated with an increased risk of neurological disorders, specifically cryptogenic stroke. S aline-contrasted transthoracic echocardiography (scTTE) is often used for RLS di agnosis.”
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 out of Mashhad, Iran, by Ne wsRx editors, research stated, “The human gut microbiome is an intricate ecosyst em with profound implications for host metabolism, immune function, and neuroend ocrine activity.” Our news reporters obtained a quote from the research from Mashhad University of Medical Sciences: “Over the years, studies have strived to decode this microbia l universe, especially its interactions with human health and underlying metabol ic processes. Traditional analyses often struggle with the complex interplay wit hin the microbiome due to presumptions of microbial independence. In response, m achine learning (ML) and deep learning (DL) provide advanced multivariate and no n-linear analytical tools that adeptly capture the complex interactions within t he microbiota. With the influx of data from metagenomic next-generation sequenci ng (mNGS), there’s an increasing reliance on these artificial intelligence (AI) subsets to derive actionable insights. This review delves deep into the cutting- edge ML techniques tailored for human gut microbiota research.”
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 Robotics - Ro botics and Automation have been published. According to news reporting originati ng in Pittsburgh, Pennsylvania, by NewsRx journalists, research stated, “In the domain of autonomous driving, the offline Reinforcement Learning (RL) approaches exhibit notable efficacy in addressing sequential decision-making problems from offline datasets. However, maintaining safety in diverse safety-critical scenar ios remains a significant challenge due to long-tailed and unforeseen scenarios absent from offline datasets.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on pattern recognition an d artificial intelligence is the subject of a new report. According to news orig inating from Chongqing, People’s Republic of China, by NewsRx editors, the resea rch stated, “Accurate segmentation of medical images is critical for disease dia gnosis, surgical planning and prognostic assessment. TransUNet, a hybrid CNN-Tra nsformer-based method, extracts local features using CNN and compensates for the lack of long-range dependencies through a self-attention mechanism.”
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 from Fairbanks, Alaska, by NewsRx journa lists, research stated, “We introduce a new framework called Machine Learning (M L) based Auroral Ionospheric electrodynamics Model (ML-AIM). ML-solves a current continuity equation by utilizing the ML model of Field Aligned Currents of Kund uri et al. (2020, ), the FAC-derived auroral conductance model of Robinson et al . (2020, ), and the solar irradiance conductance model of Moen and Brekke (1993, ). The ML-inputs are 60-min time histories of solar wind plasma, interplanetary magnetic fields (IMF), and geomagnetic indices, and its outputs are ionospheric electric potential, electric fields, Pedersen/Hall currents, and Joule Heating. ”
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