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 Chengdu, People’s Re public of China, by NewsRx editors, research stated, “Mtype hexagonal ferrites have received widespread attention for their excellent magnetic properties, but studying the intricate interplay between their composition, process and magnetic properties has long been a puzzling task. The advent of machine learning offers a promising example for accelerating the discovery of connections between them. ” Financial support for this research came from National Key R & D P rogram of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting from Quito, Ecuador, by News Rx journalists, research stated, “The integration of artificial intelligence (AI ) into government decision-making is rapidly gaining traction in public administ ration and politics.” Funders for this research include Universidad Tecnica De Ambato. The news reporters obtained a quote from the research from Polytechnic Universit y: “This scoping review, guided by PRISMA protocols, examines 50 articles from r eputable sources like Scopus and SpringerLink to analyze the trends, benefits, a nd challenges of AI in governance. While AI offers substantial potential to enha nce government efficiency and service delivery, significant barriers remain, inc luding concerns about bias, transparency, public acceptance, and accountability. ”
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 reporting out of Ilmenau, Germany, by NewsRx editors , research stated, “Magnetoactive elastomers are able to significantly change th eir material properties in a controlled manner under magnetic field stimulation. These smart materials provide solutions for many application systems, including magnetic-field-actuated mobile robots and sensors with an adjustable operation range.” Financial support for this research came from German Research Foundation (DFG).
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 out of Izmir, Turkey, by NewsRx ed itors, research stated, “This paper introduces a novel classification method for multi-class multi-label datasets, named multi-class multi-label logistic model tree (MMLMT).” The news journalists obtained a quote from the research from Dokuz Eylul Univers ity: “Our approach supports multi-label learning to predict multiple class label s simultaneously, thereby enhancing the model’s capacity to capture complex rela tionships within the data. The primary goal is to improve the accuracy of classi fication tasks involving multiple classes and labels. MMLMT integrates the logis tic regression (LR) and decision tree (DT) algorithms, yielding interpretable mo dels with high predictive performance. By combining the strengths of LR and DT, our method offers a flexible and powerful framework for handling multi-class mul ti-label data. Extensive experiments demonstrated the effectiveness of MMLMT acr oss a range of well-known datasets with an average accuracy of 85.90% . Furthermore, our method achieved an average of 9.87% improvement compared to the results of state-of-the-art studies in the literature.”
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 Machine Learning. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Ionic liquids (ILs), because of the advant ages of low volatility, good thermal stability, high gas solubility and easy rec overy, can be regarded as the green substitute for traditional solvent. However, the high viscosity and synthesis cost limits their application, the hybrid solv ent which combining ILs together with others especially water can solve this pro blem.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key Laboratory of Hubei Province for Coal Conversion and New Carbon Materials (Wuhan University of Science and Technology).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news originating from Chongqing, People’s Republic of China, by NewsRx editors, the research stated, “Aiming at the problem of diff icult crack detection in underground urban sewage pipelines, a lightweight sewag e pipeline crack detection method based on sewage pipeline robots and improved Y OLOv8n is proposed.” Funders for this research include Chongqing Natural Science Foundation Joint Fun d For Innovation And Development; Scientific And Technological Research Program of Chongqing Municipal Education Commission; Research And Innovation Program For Graduate Students in Chongqing; Research, Development, And Engineering Applicat ion of Bionic Robots For Urban Surveying in Mountainous Areas.
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 originating from Camb ridge, Massachusetts, by NewsRx correspondents, research stated, “Powder X-ray d iffraction (PXRD) is a cornerstone technique in materials characterization. Howe ver, complete structure determination from PXRD patterns alone remains time-cons uming and is often intractable, especially for novel materials.” Financial supporters for this research include United States Department of Energ y (DOE), DOENNSA’s Office of Experimental Sciences, National Science Foundation (NSF), United States Department of Energy (DOE), National Science Foundation (N SF).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news reporting originating from Fujian, People ’s Republic of China, by NewsRx correspondents, research stated, “As a subfield of artificial intelligence, machine learning has gained widespread application d ue to its exceptional ability to learn models and summarize experiences from lar ge datasets.” Our news journalists obtained a quote from the research from Fujian Agriculture and Forestry University: “To address the issues of time consumption, labor inten sity, poor objectivity, and low accuracy in the flavor quality prediction of jas mine tea, machine learning algorithms were introduced. As a branch of artificial intelligence and computer science, machine learning utilizes data and algorithm s to simulate or replicate human learning behavior, exhibiting strong capabiliti es in handling irrelevant information, extracting feature variables, and buildin g calibration models. It has found broad applications in the food industry. In r ecent years, there have been numerous reports on the application of machine lear ning in tea processing, but there are relatively few review articles specificall y focused on the application of machine learning techniques in predicting the fl avor quality of jasmine tea. This paper reviewed the principles of commonly used machine learning models and their application in predicting the flavor quality of jasmine tea.”
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 out of Raleigh, Nort h Carolina, by NewsRx editors, research stated, “Container security has received much research attention recently.” The news editors obtained a quote from the research from North Carolina State Un iversity: “Previous work has proposed to apply various machine learning techniqu es to detect security attacks in containerized applications. On one hand, superv ised machine learning schemes require sufficient labeled training data to achiev e good attack detection accuracy. On the other hand, unsupervised machine learni ng methods are more practical by avoiding training data labeling requirements, b ut they often suffer from high false alarm rates. In this article, we present a generic self-supervised hybrid learning (SHIL) framework for achieving efficient online security attack detection in containerized systems. SHIL can effectively combine both unsupervised and supervised learning algorithms but does not requi re any manual data labeling.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting from Fuzhou, People’s Republic of China, by NewsRx jour nalists, research stated, “The welding of intersecting structures requires multi -layer multi-pass welding. Manual welding of intersecting curves is being replac ed by robotic welding due to its low efficiency and poor consistency.” Financial supporters for this research include Fujian Provincial Special Project on Promoting Highquality Development of Marine and Fishery Industry, Fujian In dustry-University Cooperation Project, Science and Technology Major Project of F ujian Province.
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