查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on artificial intelligence. According to news originatingfrom Duke University by NewsRx correspondents, research stated, “Remotely sensed imagery has increaseddramatically in quantity and public availability.”Funders for this research include Alfred P. Sloan Foundation; U.S. Environmental Protection Agency.The news journalists obtained a quote from the research from Duke University: “However, automated,large-scale analysis of such imagery is hindered by a lack of the annotations necessary to train and testmachine learning algorithms. In this study, we address this shortcoming with respect to above-groundstorage tanks (ASTs) that are used in a wide variety of industries. We annotated available high-resolution,remotely sensed imagery to develop an original, publicly available multi-class dataset of ASTs. This datasetincludes geospatial coordinates, border vertices, diameters, and orthorectified imagery for over 130,000ASTs from five labeled classes (external floating roof tanks, closed roof tanks, spherical pressure tanks,sedimentation tanks, and water towers) across the contiguous United States.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning - Intelligent Systems. According to news originating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated,“Despite the ability of 3D convolutional methods to extract spatio-temporal information simultaneously,they also increase parameter redundancy and computational and storage costs. Previous work that hasutilized the 2D convolution method has approached the problem in one of two ways: either using theentire body sequence as input to extract global features or dividing the body sequence into several partsto extract local features.”
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 subject of a report. According to news reporting outof Amsterdam, Netherlands, by NewsRx editors, research stated, “Soft robots are intrinsically capable ofadapting to different environments by changing their shape in response to interaction forces. However,sensory feedback is still required for higher level decisions.”
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 subject of a report. According to news reporting fromGenova, Italy, by NewsRx journalists, research stated, “Self-growing robots are an emerging solution insoft robotics for navigating, exploring, and colonizing unstructured environments. However, their ability togrow and move in heterogeneous three-dimensional (3D) spaces, comparable with real-world conditions, isstill developing.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now available. According to news reporting from VirginiaPolytechnic Institute and State University (Virginia Tech) by NewsRx journalists, research stated, “This paperpresents the design, optimization, control, and experimental evaluation of a novel compact exoskeletonglove aiming to assist patients with brachial plexus injuries in grasping daily used objects.”Financial supporters for this research include National Institute of Child Health And Human Development.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject of a report. According to news reporting fromCambridge, Massachusetts, by NewsRx journalists, research stated, “This IEEE Micro special issue ontiny machine learning (TinyML) explores cutting-edge research on optimizing machine learning models forhighly resource-constrained devices like microcontrollers and embedded systems.”The news correspondents obtained a quote from the research from Harvard University, “The articlescover techniques across the full TinyML stack, including efficient neural network design, on-device learning,model compression, hardware-software co-design, and specialized applications. These selected worksshowcase techniques to enable increasingly sophisticated intelligence on low-power, memory-constrainededge devices.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been presented. According to news originating fromSao Jose dos Campos, Brazil, by NewsRx correspondents, research stated, “The significance of anomalydetection is particularly pronounced in Industry 4.0 applications. For instance, in manufacturing, the timelydetection of equipment malfunctions can prevent costly downtime and maintain production efficiency.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Hemangioma is the subject of a report. According to news reportingoriginating from Verona, Italy, by NewsRx correspondents, research stated, “Hemangiomas, benign vascularmasses, occasionally occur in the kidneys, presenting as rare, small, unilateral, and solitary growths. Venoushemangiomas, a renal subtype, are atypical.”Our news editors obtained a quote from the research from the University of Verona, “While clinicallynonspecific, they are typically asymptomatic and may be incidentally discovered during unrelated clinicalworkups. Diagnosing renal hemangioma preoperatively is challenging due to rarity, lacking standard radiographiccriteria, and poor differentiation from aggressive renal neoplasms on contrast-enhanced imaging.These tumors commonly follow a benign course, with no documented recurrence.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intelligence have been published. According to newsreporting from Kassel, Germany, by NewsRx journalists, research stated, “Data-based process monitoringin injection molding plays an important role in compensating disturbances in the process and the associatedimpairment of part quality.”Our news reporters obtained a quote from the research from University of Kassel: “Selecting appropriatefeatures for a successful online quality prediction based on machine learning methods is crucial. Time seriessuch as the injection pressure and injection flow curve are particularly suitable for this purpose. Predictingquality as early as possible during a cycle has many advantages. In this paper it is shown how the recordinglength of the time series affects the prediction performance when using machine learning algorithms. For thispurpose, two successful molding quality prediction algorithms (k Nearest Neighbors and Ridge Regression)are trained with time series of different lengths on extensive data sets. Their prediction performances forpart weight and a geometric dimension are evaluated.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Brain-Based Devices are presented in a new report. According tonews reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “BrainmachineInterface (BMI) with implantable bioelectronics systems can provide an alternative way to cureneural diseases, while a power management system plays an important role in providing a stable voltagesupply for the implanted chip. a prototype system of power management integrated circuit (PMIC) withheavy load capability supplying artifacts tolerable neural recording integrated circuit (ATNR-IC) is presentedin this work. A reverse nested miller compensation (RNMC) low dropout regulator (LDO) with a transientenhancer is proposed for the PMIC.”
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