查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – ROCKVILLE, MD - Soft robotics is the study of creating robots from soft materials, which has the advantage of flexibility and safety in human interactions. These robots are well-suited for applications ranging from medical devices to enhancing efficiency in various tasks. Additionally, using different forms of robotic movement may also serve us well in exploring the ocean or space, or doing certain jobs in those environments. To broaden our understanding of locomotion, Richard Desatnik, who works in the labs of Philip LeDuc and Carmel Majidi at Carnegie Mellon University and collaborates with paleontologists from Europe, turns to the past. The team creates robots with the movement of ancient animals such as pleurocystitids, a sea creature that lived around 500 million years ago. Desatnik will present their findings from the process of building a soft robot based on pleurocystitids at the 68th Biophysical Society Annual Meeting, to be held February 10 - 14, 2024 in Philadelphia, Pennsylvania.
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “This article designs a robotic Chinese character writing system that can resist random human interference. Firstly, an innovative stroke extraction method of Chinese characters was devised.” Funders for this research include National Natural Science Foundation of China (NSFC), Guangdong Basic and Applied Basic Research Foundation, Industrial Key Technologies R & D Program of Foshan.
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Gram-Negative Bacteria - Escherichia coli. According to news reporting out of Tianjin, People’s Republic of China, by NewsRx editors, research stated, “Rapid identification of the active state of foodborne bacteria is crucial for ensuring the safety and quality control of food or pharmaceutical products. In this study, a combination of hyperspectral microscope imaging (HMI) and machine learning algorithm is employed for the identification of active state of Escherichia coli (E. coli).” Financial support for this research came from National Natural Science Foundation of China (NSFC).
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning. According to news reporting from Clayton, Australia, by NewsRx journalists, research stated, “Operation stability significantly impacts hydrocyclone separation performance during wastewater treatment, sludge processing, and microplastic removal from water. The air core inside a hydrocyclone is an important indicator of operation stability.” Financial support for this research came from Australian Research Council. The news correspondents obtained a quote from the research from Monash University, “This paper presents a machine learning model designed for fast prediction and control of air core profiles. The model is built upon a modified graph neural network (GNN). It is trained by the data generated from a well- established and validated computational fluid dynamics (CFD) model. This GNNbased surrogate model has undergone two modifications to enhance its prediction accuracy. One is data smoothing, to mitigate the adverse effects of the drastic data change in spatial distributions. The other is the loss function modification to incorporate the air core information acquired by the CFD model. The predicted air cores are compared with the original GNN and random forest (RF) against the CFD results. It shows that the new surrogate model can reproduce air profiles and have higher accuracy than other models in predicting spatial distribution results among different error metrics. Furthermore, this surrogate model is combined with the genetic algorithm to optimize the air core.” According to the news reporters, the research concluded: “The proposed machine learning model framework offers a promising avenue for the prediction and control of hydrocyclones.” This research has been peer-reviewed.
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Mainz, Germany, by NewsRx journalists, research stated, “Satellite instruments provide high-temporal- resolution data on a global scale, but extracting 3D information from current instruments remains a challenge.” Financial supporters for this research include Carl-zeiss-stiftung. Our news reporters obtained a quote from the research from Johannes Gutenberg University Mainz: “Most observational data are two-dimensional (2D), offering either cloud top information or vertical profiles. We trained a neural network (Res-UNet) to merge high-resolution satellite images from the Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) with 2D CloudSat radar reflectivities to generate 3D cloud structures. The Res-UNet extrapolates the 2D reflectivities across the full disk of MSG SEVIRI, enabling a reconstruction of the cloud intensity, height, and shape in three dimensions. The imbalance between cloudy and clear-sky CloudSat profiles results in an overestimation of cloud-free pixels. Our root mean square error (RMSE) accounts for 2.99 dBZ. This corresponds to 6.6 % error on a reflectivity scale between -25 and 20 dBZ.”
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning. According to news report- ing from La Jolla, California, by NewsRx journalists, research stated, “Fetal alcohol spectrum disorders (FASDs) affect at least 0.8% of the population globally. The diagnosis of FASD is uniquely complex, with a heterogeneous physical and neurobehavioral presentation that requires multidisciplinary expertise for diagnosis.” Financial supporters for this research include NIH National Institute on Alcohol Abuse & Alcoholism (NIAAA), NIH National Institute on Alcohol Abuse & Alcoholism (NIAAA), Texas A&M University’s Accountability, Climate, Equity, and Scholarship (ACES) Faculty Fellows Program, Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD) - NIAAA, CIFASD NIAAA.
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning. According to news reporting originating in Oslo, Norway, by NewsRx journalists, research stated, “Machine learning is increasingly used to discover diagnostic and prognostic biomarkers from high-dimensional molecular data. However, a variety of factors related to experimental design may affect the ability to learn generalizable and clinically applicable diagnostics.” Funders for this research include Leona M. and Harry B. Helmsley Charitable Trust, UiO World-Leading Research Community, UiO:LifeScience Convergence Environment Immunolingo, UiO:LifeScience Conver- gence Environment RealArt, European Union (EU), Research Council of Norway FRIPRO project, Norwe- gian Cancer Society Grant, Research Council of Norway, Stiftelsen Kristian Gerhard Jebsen.
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on artificial intelligence. According to news originating from Trento, Italy, by NewsRx correspondents, research stated, “Bundle recommendation aims to generate bundles of associated products that users tend to consume as a whole under certain circumstances.” The news reporters obtained a quote from the research from University of Trento: “Modeling the bundle utility for users is a non-trivial task, as it requires to account for the potential interdependencies between bundle attributes. To address this challenge, we introduce a new preference-based approach for bundle recommendation exploiting the Choquet integral. This allows us to formalize preferences for coalitions of environmental-related attributes, thus recommending product bundles accounting for synergies among product attributes. An experimental evaluation of a dataset of local food products in Northern Italy shows how the Choquet integral allows the natural formalization of a sensible notion of environmental friendliness and that standard approaches based on weighted sums of attributes end up recommending bundles with lower environmental friendliness even if weights are explicitly learned to maximize it.”
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learning. According to news reporting originating in Genoa, Italy, by NewsRx journalists, research stated, “The anomalous lambda-transition of liquid sulfur, which is supposed to be related to the transformation of eight-membered sulfur rings into long polymeric chains, has attracted considerable attention. However, a detailed description of the underlying dynamical polymerization process is still missing.” Funders for this research include Centro Svizzero di Calcolo Scientifico, Team at Fondazione Istituto Italiano di Tecnologia, Swiss National Supercomputing Centre (CSCS).
查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The reactive molecular dynamics using ReaxFF provides an effective means to generate global reactions for pyrolysis of realistic fuel mixtures. The reactions from large-scale pyrolysis simulations of a fuel mixture may be characterized by multiple reaction sites, explosion of intermediate species structures, and scattered contribution of diversified pathways to product species.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC).
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