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 - Robotics and Automation. According to news originating from Wuhan, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “In order t o estimate both camera poses and dynamic object poses, the visual SLAMMOT method combines visual Simultaneous Localization and Mapping (SLAM) with Multiple Obje ct Tracking (MOT). Many visual SLAMMOT methods represent dynamic objects as boun ding boxes and point cloud clusters, which ignores the geometric properties of t he object surfaces that can provide additional constraints.”
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 from Lanzhou, People’s Republic of China, by NewsRx journalists, research stated, “Grasp detection serves as the fundamental element for achieving successful grasping in robotic systems.” Financial supporters for this research include Fundamental Research Funds For Th e Central Universities of Northwest Minzu University; Gansu Province Demonstrati on Major of Innovation And Entrepreneurship Education For Colleges And Universit ies; National Natural Science Foundation of China.
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 St. Lucia, Australia, by NewsRx ed itors, the research stated, “The scale of the potential implications of machine learning (ML) has prompted discussions on the issues of corporate control and te chnological openness. However, how commercial and non -commercially oriented org anisations each contribute to ML progress remains an open question.” Our news journalists obtained a quote from the research from the University of Q ueensland, “This study uses the recombinant innovation perspective as a lens to explore recombinant patterns across projects in an open source software (OSS) en vironment - where a great deal of ML innovation occurs - and assess how commerci al orientation influences such patterns. It builds on a unique dataset containin g data on 28,443 OSS projects, their code dependencies and the organisations own ing them. Exploratory analyses reveal that ML projects combine larger and more d iverse components, and produce more atypical combinations in shorter timeframes than other OSS projects, and that both company and non -company owned ML project s contribute to such recombinant atypicality. Regression analyses indicate that company owned ML projects tend to rely more on distant combinations of technical knowledge, whereas non -company owned ML projects tend to produce more novel co mbinations of application ideas.”
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 in Toronto, Canad a, by NewsRx journalists, research stated, “The advent of singlecell RNA-sequen cing (scRNA-seq) has driven significant computational methods development for al l steps in the scRNA-seq data analysis pipeline, including filtering, normalizat ion, and clustering. The large number of methods and their resulting parameter c ombinations has created a combinatorial set of possible pipelines to analyze scR NA-seq data, which leads to the obvious question: which is best? Several benchma rking studies compare methods but frequently find variable performance depending on dataset and pipeline characteristics.”
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 Western Cape, South Af rica, by NewsRx editors, research stated, “African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and straine d health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities.” Financial support for this research came from National Institutes of Health.
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 Guangzhou, P eople’s Republic of China, by NewsRx correspondents, research stated, “Due to th e absence of more efficient diagnostic tools, the spread of mpox continues to be unchecked. Although related studies have demonstrated the high efficiency of de ep learning models in diagnosing mpox, key aspects such as model inference speed and parameter size have always been overlooked.” Funders for this research include National Natural Science Foundation of China, International Science and Technology Cooperation Programme.
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 originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “State-of-the-art robotics simulator s are equipped with well-established mapping, planning, and control systems. How ever, they lack modularity and the convenience of plug-and-play functionality.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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 from Aache n, Germany, by NewsRx correspondents, research stated, “Tooth extraction is one of the most frequently performed medical procedures. The indication is based on the combination of clinical and radiological examination and individual patient parameters and should be made with great care.” Financial support for this research came from Universitatsklinikum RWTH Aachen. Our news editors obtained a quote from the research from University Hospital RWT H Aachen, “However, determining whether a tooth should be extracted is not alway s a straightforward decision. Moreover, visual and cognitive pitfalls in the ana lysis of radiographs may lead to incorrect decisions. Artificial intelligence (A I) could be used as a decision support tool to provide a score of tooth extracta bility. Using 26,956 single teeth images from 1,184 panoramic radiographs (PANs) , we trained a ResNet50 network to classify teeth as either extraction-worthy or preservable. For this purpose, teeth were cropped with different margins from P ANs and annotated. The usefulness of the AI-based classification as well that of dentists was evaluated on a test dataset. In addition, the explainability of th e best AI model was visualized via a class activation mapping using CAMERAS. The ROC-AUC for the best AI model to discriminate teeth worthy of preservation was 0.901 with 2% margin on dental images. In contrast, the average RO C-AUC for dentists was only 0.797. With a 19.1% tooth extractions prevalence, the AI model’s PR-AUC was 0.749, while the dentist evaluation only r eached 0.589. AI models outperform dentists/specialists in predicting tooth extr action based solely on X-ray images, while the AI performance improves with incr easing contextual information.”
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 Krakow, Poland, by NewsRx correspondents, research stated, “Cloud computing is gaining popularity i n high-performance computing applications. Its utilization enables advanced simu lations when local computing resources are limited.” Financial supporters for this research include Ministry of Science and Higher Ed ucation, Poland, AGH University of Krakow.
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 originating in Ljubljana, Slovenia, by News Rx journalists, research stated, “Robust local navigation is a critical capabili ty for any mobile robot operating in a real-world unstructured environment, espe cially when there are humans or other moving obstacles in the workspace. One of the most commonly used methods for local navigation is the dynamic window approa ch (DWA), which does not address the problem of dynamic obstacles and depends he avily on the settings of the parameters in its cost function.” Financial support for this research came from Slovenian Research Agency - Sloven ia.
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