查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on robotics have been presented.Ac cording to news reporting out of Tianshui, People’s Republic of China, by NewsRx editors, research stated, “This paper presents a comprehensive study on the des ign optimization of a robotic gripper, focusing on both the gripper modeling and the optimization of its parallel mechanism structure.”Financial supporters for this research include Tianshui Normal University Scient ific Research Innovation Platform.
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 intelligent s ystems have been published.According to news originating from National Universi ty of Defense Technology by NewsRx editors, the research stated, “In recent year s, recommendation explanation methods have received widespread attention due to their potentials to enhance user experience and streamline transactions.In scen arios where auxiliary information such as text and attributes are lacking, count erfactual explanation has emerged as a crucial technique for explaining recommen dations.”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Drugs and Therapies - Personalize d Medicine is the subject of a report.According to news reporting originating f rom Malatya, Turkey, by NewsRx correspondents, research stated, “Differentiated thyroid cancer (DTC) is the most prevalent endocrine malignancy with a recurrenc e rate of about 20%, necessitating better predictive methods for pa tient management.This study aims to create a relational classification model to predict DTC recurrence by integrating clinical, pathological, and follow-up dat a.”Financial support for this research came from King Khalid University.
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 from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Air quality models are increasingly important in air pollution forecasting and control.Sec toral emissions significantly impact the accuracy of air quality models and sour ce apportionment.”
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 - An droids have been published.According to news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Cable-drive n arms have the advantages of light weight, large workspace, good compliance, hi gh-speed, and acceleration.This paper proposes a cable-driven variable stiffnes s humanoid arm that can reproduce typical daily postures of the upper limb with a few actuators via kinematic synergy.”Funders for this research include National Natural Science Foundation of China ( NSFC), National Key R&D Program of China, National Natural Science Foundation of China (NSFC), State Key Laboratory of Robotics and Systems (HIT).
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 originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The incredibly efficient a nd agile flight abilities of butterflies have become the inspiration for the des ign of butterflyinspired flapping-wing robots, but their intricate flight mecha nisms bring challenges to the flight control of these robots.Aerodynamic simula tion emerges as an effective tool for addressing these challenges.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Dreams Foundation of Jianghuai Advance Technology Center, Ch ina Postdoctoral Science Foundation, Postdoctoral Fellowship Program of CPSF.
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 Nanchang, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Green manufacturing, widely recognized as a crucial avenue for companies to achieve sustainable comp etitive advantages, exerts significant spillover effects on both environmental p rotection and social responsibility.Accordingly, this can significantly enhance corporate Environmental, Social, and Governance (ESG) practices and enhance ove rall ESG performance.”
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 Machine Learning.According to news reporting originating in Krakow, Poland, by NewsRx journalists, research stated, “Over the years, significant hardware advan cements have led to higher magnetic field MRI (Magnetic Resonance Imaging) acqui sitions, providing improved diagnostic image quality at a higher cost.While hig her image quality is desired, the investment required for high-field MRI imaging systems remains a significant consideration.”
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 Ankara, Turkey, by N ewsRx editors, research stated, “To evaluate the answers to multiple-choice ques tions about retina and vitreous diseases and treatment modalities of Chat Genera tive Pre-Trained Transformer (ChatGPT), Bard, and Bing artificial intelligence c hatbots, examining the level of knowledge about these subjects, and investigatin g the existence of their superiority over each other.”
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 reporting out of Shanghai, People’s Republic of China , by NewsRx editors, research stated, “Deep reinforcement learning (DRL) has eme rged as an efficient approach for motion planning in mobile robot systems.It le verages the offline training process to enhance real-time computation efficiency .”