查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on robotics is the subject of a new report. According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Fast and accurate pose estimatio n is essential for the local motion control of robots such as drones. At present , camera-based motion capture (Mocap) systems are mostly used by robots.”
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 are discussed in a new report. According to news reporting from Liaoning, People ’s Republic of China, by NewsRx journalists, research stated, “In this work, the Light Gradient Boosting Machine (LightGBM), which is a modern decision tree bas ed machine-learning algorithm, is used to study the fusion cross section (CS) of heavy -ion reaction. Several basic quantities (e.g., mass number and proton num ber of projectile and target) and the CS obtained from phenomenological formula are fed into the LightGBM algorithm to predict the CS.”
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 Changchun, Pe ople’s Republic of China, by NewsRx journalists, research stated, “Traditional o bject detection algorithms operate within a closed set, where the training data may not cover all real-world objects.” The news correspondents obtained a quote from the research from Changchun Univer sity of Science and Technology: “Therefore, the issue of open-world object detec tion has attracted significant attention. Open-world object detection faces two major challenges: “neglecting unknown objects” and “misclassifying unknown objec ts as known ones.” In our study, we address these challenges by utilizing the Re gion Proposal Network (RPN) outputs to identify potential unknown objects with h igh object scores that do not overlap with ground truth annotations. We introduc e the reselection mechanism, which separates unknown objects from the background .”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on robotics have been pr esented. According to news originating from Xuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “A walking trajectory tracking contro l approach for a walking electrohydraulic control system is developed to reduce the walking trajectory tracking deviation and enhance robustness.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - New research on Transportation - Intelligent Tran sport Systems is the subject of a report. According to news reporting out of Hef ei, People’s Republic of China, by NewsRx editors, research stated, “Recent year s have witnessed the proliferation of traffic accidents, which led wide research es on automated vehicle (AV) technologies to reduce vehicle accidents, especiall y on risk assessment framework of AV technologies. However, existing time-based frameworks cannot handle complex traffic scenarios and ignore the motion tendenc y influence of each moving objects on the risk distribution, leading to performa nce degradation.”
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 Fairfax, Virginia, by NewsRx editor s, the research stated, “Multi-robot motion planning is a core capability in rob otics, yet is made challenging by the need to simultaneously consider robot dyna mics, robots obstructing the paths of their teammates, and static obstacles duri ng deployment, challenges that compound when the map is not known in advance.”
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 out of Amman, Jord an, by NewsRx editors, research stated, “This review critically analyzes the inc orporation of artificial intelligence (AI) in surface chemistry and catalysis to emphasize the revolutionary impact of AI techniques in this field.” Our news editors obtained a quote from the research from Faculty of Pharmacy and Medical Sciences: “The current review examines various studies that using AI te chniques, including machine learning (ML), deep learning (DL), and neural networ ks (NNs), in surface chemistry and catalysis. It reviews the literature on the a pplication of AI models in predicting adsorption behaviours, analyzing spectrosc opic data, and improving catalyst screening processes. It combines both theoreti cal and empirical studies to provide a comprehensive synthesis of the findings. It demonstrates that AI applications have made remarkable progress in predicting the properties of nanostructured catalysts, discovering new materials for energ y conversion, and developing efficient bimetallic catalysts for CO2 reduction. AI-based analyses, particularly using advanced NNs, have provided si gnificant insights into the mechanisms and dynamics of catalytic reactions. It w ill be shown that AI plays a crucial role in surface chemistry and catalysis by significantly accelerating discovery and enhancing process optimization, resulti ng in enhanced efficiency and selectivity.”
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 Atlanta, Georgia, by NewsRx editors, the research stated, “The college-level integration of gener ative artificial intelligence presents new opportunities and challenges as educa tors explore the potential of artificial intelligence technologies to enhance le arning experiences and academic outcomes.” Financial support for this research came from School of Chemistry and Biochemist ry at Georgia Tech.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - Research findings on Machine Learning - Intellige nt Systems are discussed in a new report. According to news reporting from Shang hai, People’s Republic of China, by NewsRx journalists, research stated, “This p aper efficiently addresses the high-dimensional robust order scheduling problem. A novel algorithm named dynamic cooperative coevolution based on an implicit de cision variable classification approach (DCC/IDVCA) is developed to search for r obust order schedules.”
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 - Nephrectomy is the subject of a report. According to news reporting out of Sichuan, People’s Republic of China, by NewsRx editors, research stated, “The study aims to asses s the available literature and compare the perioperative outcomes of robotic-ass isted partial nephrectomy (RAPN) for posterior-lateral renal tumors using transp eritoneal (TP) and retroperitoneal (RP) approaches. Systematically searched the Embase, PubMed, and Cochrane Library databases for literature.”
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