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 Pisa, Italy, by NewsRx correspondents, research stated, “Solvatochromism occurs in both homo geneous solvents and more complex biological environments, such as proteins. Whi le in both cases the solvatochromic effects report on the surroundings of the ch romophore, their interpretation in proteins becomes more complicated not only be cause of structural effects induced by the protein pocket but also because the p rotein environment is highly anisotropic.” Our news editors obtained a quote from the research from the University of Pisa, “This is particularly evident for highly conjugated and flexible molecules such as carotenoids, whose excitation energy is strongly dependent on both the geome try and the electrostatics of the environment. Here, we introduce a machine lear ning (ML) strategy trained on quantum mechanics/molecular mechanics calculations of geometrical and electrochromic contributions to carotenoids’ excitation ener gies. We employ this strategy to compare solvatochromism in protein and solvent environments.”
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 cyborg and bionic systems. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “Manipulating cells at a small scale is widely acknowledged as a complex and challenging task, especiall y when it comes to cell grasping and transportation. Various precise methods hav e been developed to remotely control the movement of microrobots.” Our news journalists obtained a quote from the research from Zhejiang University : “However, the manipulation of micro-objects necessitates the use of end-effect ors. This paper presents a study on the control of movement and grasping operati ons of a magnetic microrobot, utilizing only 3 pairs of electromagnetic coils. A specially designed microgripper is employed on the microrobot for efficient cel l grasping and transportation. To ensure precise grasping, a bending deformation model of the microgripper is formulated and subsequently validated. To achieve precise and reliable transportation of cells to specific positions, an approach that combines an extended Kalman filter with a model predictive control method i s adopted to accomplish the trajectory tracking task. Through experiments, we ob serve that by applying the proposed control strategy, the mean absolute error of path tracking is found to be less than 0.155 mm.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating from Milan, Italy, by New sRx correspondents, research stated, “This study examines how the exposure to ro bots and its heterogeneous effects on the labor market opportunities of men and women affected demographic behavior.” Financial support for this research came from European Research Council (ERC). Our news editors obtained a quote from the research from Bocconi University, “We focus on the United States and find that in regions that were more exposed to r obots, gender gaps in income and labor force participation declined, reducing th e relative economic stature of men. Robot penetration also triggered an increase in both divorce and cohabitation and a decline- albeit nonsignificant-in the nu mber of marriages.”
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 out of Anhui University of Science and Techn ology by NewsRx editors, research stated, “In robotic Chinese calligraphy, the b rush stroke training models for Chinese hairy brushes play a crucial role in str oke generation.” Our news reporters obtained a quote from the research from Anhui University of S cience and Technology: “The method of combining end-to-end techniques and physic al models requires further study, however, it is difficult to obtain large amoun ts of brush strokes for deep learning and training. To overcome this, we propose using a simulated brush model to train a generator based on the Bezier brush st roke model generator (B-BSMG), which was formed by two symmetric cubic Bezier cu rves according to the physical characteristics and writing posture of the brush. The B-BSMG can generate images for deep learning and training using a dataset s imulated by the Bezier brush stroke model. Our renderer is based on parameterize d brush strokes, providing a better foundation for deep learning or robotic writ ing.”
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 originating from Singapore, Singapore, by NewsRx edit ors, the research stated, “Developing guidelines for designing robotinclusive s paces has been challenging and resource-intensive, primarily relying on physical experiments and observations of robot interactions within the built environment .” Financial supporters for this research include National Robotics Programme (Nrp) Bau; A*star. The news correspondents obtained a quote from the research from Singapore Univer sity of Technology and Design: “These conventional methods are often costly, tim e-consuming, and labour-intensive, demanding manual intervention. To address the se limitations, this study explores the potential of using digital twins as a pr omising solution to offer detailed insights, reducing the dependence on physical experiments for studying robot-built environment interactions. Although the con cept of digital twins is popular in many domains, the use of digital twins for t his specific problem has not been explored yet. A novel methodology for assessin g existing built environment guidelines by incorporating them as an architectura l digital twin asset within robot simulation software is proposed in this regard . By analysing the digital interactions between robots and the architectural dig ital twin assets in simulations, the compatibility of the environment with robot s is evaluated, ultimately contributing to enhancing these guidelines to be robo t-inclusive. The ultimate goal is to create environments that are not only inclu sive but also readily accessible to Autonomous Mobile Robots (AMRs).”
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 originating from Pittsburgh, P ennsylvania, by NewsRx editors, the research stated, “ABSTRACTWire-feed additive manufacturing (WFAM) produces superalloys with complex thermal cycles and uniqu e microstructures, often requiring optimized heat treatments.” Funders for this research include National Energy Technology Laboratory. Our news correspondents obtained a quote from the research from University of Pi ttsburgh: “To address this challenge, we present a hybrid approach that combines high-throughput experiments, precipitation simulation, and machine learning to design effective aging conditions for the WFAM Haynes 282 superalloy. Our result s demonstrate that the g’ radius is the critical microstructural feature for str engthening Haynes 282 during post-heat treatment compared with the matrix compos ition and g’ volume fraction. New aging conditions at 770°C for 50 hours and 730 °C for 200 hours were discovered based on the machine learning model and were ap plied to enhance yield strength, bringing it on par with the wrought counterpart .”
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 from Zhenjiang, People’s Republic of China, by NewsRx journalists, research stated, “To realize the low-resistance shape op timization design of amphibious robots, an efficient optimization design framewo rk is proposed to improve the geometric deformation flexibility and optimization efficiency.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Jiangsu Universi ty, “In the proposed framework, the free-form deformation parametric model of th e flat slender body is established and an analytical calculation method for the height constraints is derived. CFD method is introduced to carry out the high-pr ecision resistance calculation and a constrained Kriging-based optimization meth od is built to improve the optimization efficiency by circularly infilling the n ew sample points which satisfying the constraints.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on support vector machines are presented in a new report. According to news reporting from Telkom Universit y by NewsRx journalists, research stated, “Imbalanced data presents significant challenges in machine learning, leading to biased classification outcomes that f avor the majority class.” Our news reporters obtained a quote from the research from Telkom University: “T his issue is especially pronounced in the classification of financial distress, where data imbalance is common due to the scarcity of such instances in real-wor ld datasets. This study aims to mitigate data imbalance in financial distress co mpanies using the Kmeans-SMOTE method by combining Kmeans clustering and the syn thetic minority oversampling technique (SMOTE). Various classification approache s, including Nave Bayes and support vector machine (SVM), are implemented on a K aggle financial distress data set to evaluate the effectiveness of Kmeans-SMOTE. Experimental results show that SVM outperforms Nave Bayes with impressive accur acy (99.1%), f1-score (99.1%), area under precision re call (AUPRC) (99.1%), and geometric mean (Gmean) (98.1% ).”
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 Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Recently, numerous spatial p rediction methods with diverse characteristics have been developed.” Funders for this research include National Key Research And Development Program of China; Science And Technology Fundamental Resources Investigation Program of China; Lreis; Shaanxi Normal University. The news journalists obtained a quote from the research from China Earthquake Ad ministration: “Selecting an appropriate spatial prediction method, along with it s data preprocessing and parameter settings, presents a challenging task for man y users, especially for non-experts. This paper addresses this challenge by expl oring the potential of automated machine learning method proposed in artificial intelligent domain to automatically determine the most suitable method among var ious machine learning methods. As a case study, the automated machine learning m ethod was applied to predict the spatial distribution of soil subgroups in Hesha n farm. A total of 110 soil samples and 10 terrain variables were utilized in th e designed experiments. To evaluate the performance, the proposed method was com pared to each machine learning method with default parameters values or paramete rs determined by expert knowledge. The results showed that the proposed method t ypically achieved higher accuracy scores than the two alternative methods.”
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 robotic s. According to news reporting from Beijing, People’s Republic of China, by News Rx journalists, research stated, “To improve the speed and accuracy of the metho ds used for the recognition and positioning of strawberry plants, this paper is concerned with the detection of elevated-substrate strawberries and their pickin g points, using a strawberry picking robot, based on the You Only Look Once vers ion 7 (YOLOv7) object detection algorithm and Red Green Blue- Depth (RGB-D) sensi ng. Modifications to the YOLOv7 model include the integration of more efficient modules, incorporation of attention mechanisms, elimination of superfluous featu re layers, and the addition of layers dedicated to the detection of smaller targ ets.” Funders for this research include National Natural Science Foundation of China; National Key Research And Development Program of China.
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