查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to news originating from Jiangsu, People’ s Republic of China, by NewsRx correspondents, research stated, “Asymptomatic CO VID-19 carriers with normal chest computed tomography (CT) scans have perpetuate d the ongoing pandemic of this disease. This retrospective study aimed to use au tomated machine learning (AutoML) to develop a prediction model based on CT char acteristics for the identification of asymptomatic carriers.”
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 Artificial In telligence have been published. According to news reporting from Guangdong, Peop le’s Republic of China, by NewsRx journalists, research stated, “With the advent of the big data era and the Internet of Things, promising hardware techniques f or data storage and energy-efficient data processing are in great demand. This i s especially more urgent with the emergence of the generated artificial intellig ence (AI) applications, such as ChatGPT, which are changing and will continuousl y impact every aspect of our daily lives.”
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 out of Johannesburg, South Africa, by NewsRx editors, research stated, “In order to improve the accessibili ty and user friendliness of an accurately pretrained stacking ensemble machine l earning regressor used to predict sulfate levels (mg/L) in Acid Mine Drainage (A MD), a Graphical User Interface (GUI) was developed using Python by combining hu man input with ChatGPT and deployed in the Jupyter Notebook environment. This wa s achieved by combining human prompts with ChatGPT to create an error message fe edback loop to generate the working code for the GUI.”
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 originating in Shangha i, People’s Republic of China, by NewsRx journalists, research stated, “With the increasing application of artificial intelligence (AI) in medicine and healthca re, AI technologies have the potential to improve the diagnosis, treatment, and prognosis of rare diseases. Presently, existing research predominantly focuses o n the areas of diagnosis and prognosis, with relatively fewer studies dedicated to the domain of treatment.”
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 artificial in telligence have been published. According to news originating from Ciudad Real, Spain, by NewsRx correspondents, research stated, “Explainable artificial intell igence (XAI) is a group of techniques and evaluations that allows users to under stand artificial intelligence knowledge and increase the reliability of the resu lts produced using artificial intelligence.” Funders for this research include Feder And The State Research Agency (Aei) 590 of The Spanish Ministry of Economy And Competition.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Liver Cance r is the subject of a report. According to news originating from Berlin, Germany , by NewsRx correspondents, research stated, “The clinical role of lymphadenecto my (LAD) as part of hepatic resection for malignancies of the liver remains uncl ear. In this study, we aimed to report on the use cases and postoperative outcom es of liver resection and simultaneous LAD for hepatic malignancies (HM).”
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 out of Beijing, People’s Republic of China, by N ewsRx editors, research stated, “Sound source approaching is a typical task for the robot with auditory sensing. Many existing methods are based on sound source localization (SSL), and utilize the explicit location as the control input.” Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China (NSFC), Majo r Basic Research Projects of Natural Science Foundation of Shandong Province.
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 Ma chine Learning - Artificial Intelligence. According to news reporting out of Emd en, Germany, by NewsRx editors, research stated, “Today’s users expect to be abl e to interact with the products they own without much effort and also want to be excited about them. The development of a positive user experience must therefor e be managed.”
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 London, United Kingdom, by NewsR x correspondents, research stated, “Inspired by musculoskeletal systems in natur e, this paper presents a pneumatically actuated quadruped robot which utilizes t wo soft-rigid hybrid rotary joints in each of the four two-degrees of freedom (D oF) planar legs.” Funders for this research include National Centre For Nuclear Robotics; Core Equ ipment; Royal Society Research; Royal Society International Exchanges Cost Share .
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 Leuven, Belgium, by Ne wsRx editors, research stated, “With the increasing prevalence of machine learni ng in critical fields like healthcare, ensuring the safety and reliability of th ese systems is crucial. Estimating uncertainty plays a vital role in enhancing r eliability by identifying areas of high and low confidence and reducing the risk of errors.”
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