查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting originating from Catanzaro, Italy, by NewsRx correspondents, research stated, “The Podolica cattle breed is widesp read in southern Italy, and its productivity is characterized by low yields and an extraordinary quality of milk and meats. Most of the milk produced is transfo rmed into “Caciocavallo Podolico” cheese, which is made with 100% Podolica milk.” Financial supporters for this research include Fondazione Con Il Sud.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning - In telligent Systems have been presented. According to news reporting originating i n Giza, Egypt, by NewsRx journalists, research stated, “Code assistance refers t o the utilization of various tools, techniques, and models to help developers in the process of software development. As coding tasks become increasingly comple x, code assistant plays a pivotal role in enhancing developer productivity, redu cing errors, and facilitating a more efficient coding workflow.” Financial support for this research came from Cairo University.
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 Ar tificial Intelligence. According to news reporting originating in Sao Paulo, Bra zil, by NewsRx editors, the research stated, “Artificial intelligence is a gener al-purpose technology (GPT), term given to technologies that shape an entire era and reorient innovations by reconfiguring the economy’s logic and functioning a nd bringing in new business models. AI offers unprecedented opportunities and ri sks.” The news reporters obtained a quote from the research from Pontifical Catholic U niversity, “The benefits of AI are extraordinary, as are its potential harms. Po tential damage does not have the same degree of problematization, since the inte nsity and extent of the damage varies according to the domain and the object of application. To address the scale of this challenge, regulation is necessary but not sufficient. Standards, unwritten codes of compliance and arbitration proced ures, supervision and auditability, AI governance, international agreements, com pliance with current local and global standards and laws. All of this needs to b e integrated. Society seems to have no alternative to facing the challenges of a t least mitigating the damage already identified and trying to predict future da mage in advance.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting from Oslo, Norway, by NewsRx journalists, researc h stated, “Robots are becoming part of our social landscape. Social interaction with humans must be efficient and intuitive to understand because nonverbal cues make social interactions between humans and robots more efficient.” Financial support for this research came from Predictive and Intuitive Robot Com panion (PIRC) project through The Research Council of Norway (RCN).
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 from Revere, United States, b y NewsRx journalists, research stated, “The reconstruction of complete microbial metabolic pathways using ‘omics data from environmental samples remains challen ging. Computational pipelines for pathway reconstruction that utilize machine le arning methods to predict the presence or absence of KEGG modules in incomplete genomes are lacking.” The news correspondents obtained a quote from the research, “Here, we present Me taPathPredict, a software tool that incorporates machine learning models to pred ict the presence of complete KEGG modules within bacterial genomic datasets. Usi ng gene annotation data and information from the KEGG module database, MetaPathP redict employs deep learning models to predict the presence of KEGG modules in a genome. MetaPathPredict can be used as a command line tool or as a Python modul e, and both options are designed to be run locally or on a compute cluster.”
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. According to news reporting originating from Valencia, Spain, by NewsRx correspondents, research stated, “Statistical regression methods are wid ely used in remote sensing applications but tend to lack physical interpretabili ty. In this article, we introduce a methodological framework to improve model em ulation and its understanding with machine learning feature selection.” Financial support for this research came from Young Researchers Research and Dev elopment Project through AUTO-BA-GRAPH funded by the Community of Madrid and Rey Juan Carlos University.
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 have been published. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Human-robot collaboration (HRC) can greatly facilitate the disassembling processes of end-of-life (EoL) product s. For the robot in HRC, an intuitive control function enabled by a brain-machin e interface (BMI) and human brainwaves will be useful to support dynamic decisio n-making under various disassembly conditions.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of Science and Technology, China, Science & Technology Commission of Shanghai Municipality (STCSM), China Scholarships Counc il.
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 repo rting originating from Zhejiang, People’s Republic of China, by NewsRx correspon dents, research stated, “In order to meet the motion characteristics requirement s of multi-objective fusion of execution components, a synthesis method of open- chain coupled serial linkage mechanism fusing trajectory and posture is proposed .” Financial supporters for this research include Shaoxing Bureau of Science And Te chnology; National Natural Science Foundation of China; Science And Technology P lan Project of Wenzhou Municipality.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic systems. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “When constructing a multiple automated guided vehicle (multi-AGV) system, it is essential to calculate the potential v alues of the system’s feature parameters.” The news editors obtained a quote from the research from Shanghai Polytechnic Un iversity: “This article presents two time-cost calculators and an improved simul ation platform for scientifically estimating the cost of constructing a multi-AG V system. By inputting the parameters of the number of automated guided vehicles (AGVs), the velocity of the AGV, the number of tasks, scheduling interval and p ath length, the designed calculator can output the system’s time expense when al l tasks are completed. The designed simulation platform can display a specific m ulti-AGV system’s time cost and how the entire progress works in a visual interf ace. An advanced scheduling method based on handover mode and A* algorithm is us ed to solve task scheduling problems in a multi-AGV system.”
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 Singapore, Singapore, by NewsRx journalists, research stated, “Visual Odom etry (VO) is vital for the navigation of autonomous systems, providing accurate position and orientation estimates at reasonable costs. While traditional VO met hods excel in some conditions, they struggle with challenges like variable light ing and motion blur.” Financial support for this research came from National Research Foundation, Sing apore.
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