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 originating from Wolverhampton, United Kingd om, by NewsRx correspondents, research stated, "The rapidly evolving field of ma chine learning (ML), along with artificial intelligence in a broad sense, is rev olutionising many areas of healthcare, including laboratory medicine." The news reporters obtained a quote from the research from Royal Wolverhampton N HS Foundation Trust: "The amalgamation of the fields of ML and patient-based rea l-time quality control (PBRTQC) processes could improve the traditional PBRTQC a nd error detection algorithms in the laboratory. This narrative review discusses published studies on using ML for the detection of systematic errors, non-syste matic errors, and combinations of different types of errors in clinical laborato ries. The studies discussed used ML for detecting bias, the requirement for re-c alibration, samples contaminated with intravenous fluid or EDTA, delayed sample analysis, wrong-blood-in-tube errors, interference or a combination of different types of errors, by comparing the performance of ML models with human validator s or traditional PBRTQC algorithms."
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 out of Nanchang, People's Rep ublic of China, by NewsRx editors, research stated, "For the electroencephalogra m- (EEG-) based motor imagery (MI) brain-computer interface (BCI) system, more attention has been paid to the advanced machine learning algorithms rather than t he effective MI training protocols over past two decades. However, it is crucial to assist the subjects in modulating their active brains to fulfill the endogen ous MI tasks during the calibration process, which will facilitate signal proces sing using various machine learning algorithms." Funders for this research include National Natural Science Foundation of China; Natural Science Foundation of Jiangxi Province.
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 from Gyeongbuk, South Korea, by NewsRx jou rnalists, research stated, "This paper introduces a new concept of a zero-platfo rm delta robot with three key parameters affecting the shape and size of the wor kspace." Funders for this research include National Research Foundation of Kore. Our news reporters obtained a quote from the research from Kumoh National Instit ute of Technology: "This concept is applied to directly bring the torus configur ation into the links of the robot and shows its usefulness in configuring and ge nerating the workspace conveniently. Analyzing the workspace of parallel robots, such as delta robots, requires extensive computation due to the constraints bet ween the links, typically requiring complex equations or numerical methods. This paper proposes a new method for quickly estimating the shape and size of the wo rkspace using a cross-section diagram based on a geometrical analysis of the zer o-platform delta robot."
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 Aberdeen Provi ng Ground, Maryland, by NewsRx journalists, research stated, "Strain energy is a fundamental measure of the steric and configurational properties of organic mol ecules. The ability to estimate strain energy through quantum chemical simulatio ns requires at minimum the knowledge of an initial set of nuclear coordinates." The news reporters obtained a quote from the research, "In general, such knowled ge is not categorically known when screening or generating large numbers of mole cule candidates in the context of molecular design. We present a machine learnin g approach to predict hydrocarbon strain energies using Benson group equivalents . A featurization strategy is crafted by concatenating the molecule group equiva lent counts with easily computable molecular fingerprints. The data are obtained from electronic structure calculations we performed on a set of 166 previously synthesized strained hydrocarbons. These data are provided and include gas phase enthalpies of formation and associated optimized atomic coordinates."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on virtual reality and in telligent hardware is the subject of a new report. According to news reporting f rom Berkeley, California, by NewsRx journalists, research stated, "With the deve lopment of virtual reality (VR) technology, there is a growing need for customiz ed 3D avatars." Our news reporters obtained a quote from the research from University of Califor nia Berkeley: "However, traditional methods for 3D avatar modeling are either ti me-consuming or fail to retain the similarity to the person being modeled. This study presents a novel framework for generating animatable 3D cartoon faces from a single portrait image. First, we transferred an input real-world portrait to a stylized cartoon image using StyleGAN. We then proposed atwo-stage reconstruc tion method to recover a 3D cartoon face with detailed texture. Our two-stage st rategy initially performs coarse estimation based on template models and subsequ ently refines the model by nonrigid deformation under landmark supervision. Fina lly, we proposed a semantic-preserving face-rigging method based on manually cre ated templates and deformation transfer."
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 Kitwe, Zambia, by NewsRx ed itors, research stated, "The Copper mining industry accounts for the country's l argest export earning and creates several jobs." Our news editors obtained a quote from the research from Copperbelt University: "Despite this the mines have been known to be the major contributor to the envir onmental pollution. It has been observed that in one province of the country, th ere is high presence of iron and other heavy metals in the surrounding areas. Un fortunately these heavy metals find themselves in water bodies and consequently affect the aquatic life. This study was conducted to develop suitable machine le arning prediction models that estimate the impact of mine pollutants on fish pro duction in the Kalumbila area of North-Western Province. The Machine Learning te chniques employed include Multiple Linear Regression (MLR), Artificial Neural Ne tworks (ANN), Random Forest (RF) and K-Nearest Neighbors (KNN). These models wer e evaluated and, in terms of Mean Absolute Error (MAE) and Root Mean Squared Err or (RMSE) with the values of 0.25 (25%) and 0.22 (22%) indicating that Random Forest appear to be the best-performing models in terms of prediction accuracy compared to other models."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors He trich, Matthew (Raleigh, NC, US), filed on May 5, 2021, was published online on August 20, 2024. The assignee for this patent, patent number 12065051, is ABB E-Mobility B.V. (De lft, Netherlands). Reporters obtained the following quote from the background information supplied by the inventors: "Automatic charging of electric vehicles (EVs) is perceived in the EV industry as an important business opportunity because it enables a high degree of safety during charging, which, in turn, enables use of high charging p ower ratings (fast-charging), improves operational efficiency in charging fleet vehicles or vehicles at a public charge station, and increases customer comfort. Autonomous charging is made possible using mobile robots or robotic arms capabl e of interacting with the EV charging equipment and EVs.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Amthor, Manuel (Jena, DE); Haase, Daniel (Jena, DE), filed on May 9, 2022, was made available online on Au gust 22, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "The simulation models used for this may be, in particular, models on the basis of machine learning (ML models). Such simulation models are trained using data of atraining data set, in which case the data sets availabl e for this purpose are often severely limited and comprise, for example, only a specific type of samples and recording parameters. If a simulation model trained in this way is applied to hitherto unseen, i.e., to date unknown, image data, an inadequate quality of the prediction may arise. In this regard, artefacts may occur, for example, if the input data used for the relevant model differ signifi cantly from the training data.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Agha, Imran (Manchester, G B); Hulley, Mark (Sheffield, GB); Moody, Robert (Knutsford, GB); Ng, Jia Hua (Sh effield, GB), filed on February 7, 2024, was made available online on August 22, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Sustainability is of increasing focus in relation to both sourcing of and disposing of industrial electrical products. This broadly covers the environmental, economic and societal factors in materials usage, particular ly around recycling and reuse of electronic materials and components. When an in dustrial electrical product, such as an electric motor, drive or controller appr oaches its end of life it is typically disposed of without any targeted disassem bly or automated processing for reuse. This may be at e-waste facilities or even landfill. One exception to this is the Apple™ Material Recovery Lab, where the Daisy robot dismantles used Apple™ devices to recover components for materials r ecycling. However, such programs are not widespread, and at present cover only a small geographical area and product line.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventor Gildert, Suzanne (Vancouver , CA), filed on January 29, 2024, was made available online on August 22, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Robots are machines that can assist humans or substitute f or humans. Robots can be used in diverse applications including construction, ma nufacturing, monitoring, exploration, learning, and entertainment. Robots can be used in dangerous or uninhabitable environments, for example. "Machine learning and artificial intelligence techniques can be applied to the o peration of a robotic system, for example, to help perform complex tasks based o n real-time feedback.
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