查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Evanston, Illinois, by NewsRx correspondents, research stated, “To advance the designspace of elect rically-driven soft actuators, a flexible, architected soft robotic actuator is presented formotor-driven extensional motion. The actuator comprises a 3D print ed, cylindrical handed shearingauxetic (HSA) structure and a deformable, intern al rubber bellows shaft.”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Artificial Intelligence is the su bject of a report. According to news reportingout of Shenzhen, People’s Republi c of China, by NewsRx editors, research stated, “Internet of thingstechnology c an not only improve people’s lives, but also bring great changes and innovations to theindustry and promote the rapid development of economy. The future commun ication system will be asystem of everything connected with IoT.”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsoriginating from Padova, Italy, by NewsRx correspondents, research stated, “Artificial intelligence (AI)models can play a more effective role in managing patients with the explosion of digita l health recordsavailable in the healthcare industry. Machine-learning (ML) and deep-learning (DL) techniques are twomethods used to develop predictive models that serve to improve the clinical processes in the healthcareindustry.”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news originating fromGhent, Belgium, by NewsRx correspond ents, research stated, “Joint space and task space control are thetwo dominant action modes for controlling robot arms within the robot learning literature. Ac tions in jointspace provide precise control over the robot’s pose, but tend to suffer from inefficient training; actions intask space boast data-efficient tra ining but sacrifice the ability to perform tasks in confined spaces due tolimit ed control over the full joint configuration.”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Stavanger, Norway, b y NewsRx correspondents, research stated, “Laser powder bed fusion(L-PBF) fuses metallic powder using a high-energy laser beam, forming parts layer by layer. T his techniqueoffers flexibility and design freedom in metal additive manufactur ing (MAM).”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Beijing, People’s Re public of China, by NewsRx correspondents, research stated, “Tactilesensors pla y an important role when robots perform contact tasks, such as physical informat ion collection,force or displacement control to avoid collision. For these mani pulations, excessive contact may causedamage while poor contact cause informati on loss between the robotic end-effector and the objects.”Financial supporters for this research include Programme 173, National Science F oundation of China,ZHKF.
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Tamil Nadu, India, by NewsRx correspondents, research stated, “In this study,eXtreme Gradi ent Boosting (XGBoost) and Light Gradient Boosting (LightGBM) algorithms were us edto model -predict the drying characteristics of banana slices with an indirec t solar drier. The relationshipsbetween independent variables (temperature, moi sture, product type, water flow rate, and mass of product)and dependent variabl es (energy consumption and size reduction) were established.”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Digestive System Disea ses and Conditions - Gastrointestinal StromalTumors is the subject of a report. According to news originating from Wenzhou, People’s Republic of China,by News Rx correspondents, research stated, “The objective was to assess and examine rad iomics modelsderived from contrast-enhanced CT for their predictive capacity us ing the sub-regional radiomics regardingthe Ki-67 proliferation index (PI) in p atients with pathologically confirmed gastrointestinal stromal tumors(GIST). In this retrospective study, a total of 412 GIST patients across three institution s (223 from center1, 106 from center 2, and 83 from center 3) was enrolled.”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Enterostomy is the subject of a report. According to newsreporting originating from Shangha i, People’s Republic of China, by NewsRx correspondents, researchstated, “Based on machine learning method, four types of early postoperative frailty risk pred iction modelof enterostomy patients were constructed to compare the performance of each model and provide the basisfor preventing early postoperative frailty of elderly patients with enterostomy. The prospective conveniencesampling metho d was conducted and 362 early postoperative enterostomy patients were selected i n threehospitals from July 2020 to November 2023 in Shanghai, four different pr ediction models of Support VectorMachine (SVM), Bayes, XG Boost, and Logistic r egression were used and compared the test effects of thefour models (MCC, F1, A UC, and Brier index) to judge the classification performance of the four modelsin the data of this study.”
查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting from Tochigi, Japan, by NewsRx journalists, research stated, “Diagnostic performance ofgenera tive artificial intelligences (AIs) using large language models (LLMs) across co mprehensive medicalspecialties is still unknown. We aimed to evaluate the diagn ostic performance of generative AIs usingLLMs in complex case series across com prehensive medical fields.”