查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics and artificial intelligence are presented in a new report. According to news reporting from Stu ttgart, Germany, by NewsRx journalists, research stated, “Teleoperation allows w orkers to safely control powerful construction machines; however, its primary re liance on visual feedback limits the operator’s efficiency in situations with st iff contact or poor visibility, hindering its use for assembly of pre-fabricated building components. Reliable, economical, and easy-to-implement haptic feedbac k could fill this perception gap and facilitate the broader use of robots in con struction and other application areas.” Funders for this research include Deutsche Forschungsgemeinschaft; Max-planck-ge sellschaft. Our news editors obtained a quote from the research from Max-Planck-Institute fo r Intelligent Systems: “Thus, we adapted widely available commercial audio equip ment to create AiroTouch, a naturalistic haptic feedback system that measures th e vibration experienced by each robot tool and enables the operator to feel a sc aled version of this vibration in real time. Accurate haptic transmission was ac hieved by optimizing the positions of the system’s off-the-shelf accelerometers and voice-coil actuators. A study was conducted to evaluate how adding this natu ralistic type of vibrotactile feedback affects the operator during telerobotic a ssembly. Thirty participants used a bimanual dexterous teleoperation system (Int uitive da Vinci Si) to build a small rigid structure under three randomly ordere d haptic feedback conditions: no vibrations, one-axis vibrations, and summed thr ee-axis vibrations. The results show that users took advantage of both tested ve rsions of the naturalistic haptic feedback after gaining some experience with th e task, causing significantly lower vibrations and forces in the second trial. S ubjective responses indicate that haptic feedback increased the realism of the i nteraction and reduced the perceived task duration, task difficulty, and fatigue .”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “To comp rehend the complexities of pathophysiological mechanisms and molecular events th at contribute to proliferative diabetic retinopathy (PDR) and evaluate the diagn ostic value of aqueous humor (AH) in monitoring the onset of PDR. A cohort conta ining 16 PDR and 10 cataract patients and another validation cohort containing 8 PDR and 4 cataract patients were studied.” Our news journalists obtained a quote from the research from Peking Union Medica l College Hospital, “AH was collected and subjected to proteomics analyses. Bioi nformatics analysis and a machine learningbased pipeline called inference of bi omolecular combinations with minimal bias were used to explore the functional re levance, hub proteins, and biomarkers. Deep profiling of AH proteomes revealed s everal insights. First, the combination of SIAE, SEMA7A, GNS, and IGKV3D-15 and the combination of ATP6AP1, SPARCL1, and SERPINA7 could serve as surrogate prote in biomarkers for monitoring PDR progression. Second, ALB, FN1, ACTB, SERPINA1, C3, and VTN acted as hub proteins in the profiling of AH proteomes. SERPINA1 was the protein with the highest correlation coefficient not only for BCVA but also for the duration of diabetes. Third, ‘Complement and coagulation cascades’ was an important pathway for PDR development. AH proteomics provides stable and accu rate biomarkers for early warning and diagnosis of PDR.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Skidmore College by NewsRx corr espondents, research stated, “Algorithmic technologies are widely applied in org anizational decision-making today, which can improve resource allocation and dec ision-making coordination to facilitate the accuracy and efficiency of the decis ion-making process within and across organizations.” Our news editors obtained a quote from the research from Skidmore College: “Howe ver, algorithmic controls also introduce and amplify organizational inequalities -workers who are female, people of color and the marginalized population, and wo rkers with low skills, a low level of education, or who have low technology lite racy can be disadvantaged and discriminated against due to the lack of transpare ncy, explainability, objectivity, and accountability in these algorithms. Throug h a systematic literature review, this study comprehensively compares three diff erent types of controls in organizations: technical controls, bureaucratic contr ols, and algorithmic controls, which led to our understanding of the advantages and disadvantages associated with algorithmic controls. The literature on the or ganizational inequality related to the employment of algorithmic controls is the n discussed and summarized. Finally, we explore the potential of trustworthy alg orithmic controls and participatory development of algorithms to mitigate organi zational inequalities associated with algorithmic controls.”
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 Chengdu, People’s R epublic of China, by NewsRx correspondents, research stated, “High energy and lo w sensitivity have been the focus of developing new energetic materials (EMs). H owever, there has been a lack of a quick and accurate method for evaluating the stability of diverse EMs.” Financial supporters for this research include Science and Technology Department of Sichuan Province, National Natural Science Foundation of China. Our news editors obtained a quote from the research from Sichuan University, “He re, we develop a machine learning prediction model with high accuracy for bond d issociation energy (BDE) of EMs. A reliable and representative BDE dataset of EM s is constructed by collecting 778 experimental energetic compounds and quantum mechanics calculation. To sufficiently characterize the BDE of EMs, a hybrid fea ture representation is proposed by coupling the local target bond into the globa l structure characteristics. To alleviate the limitation of the low dataset, pai rwise difference regression is utilized as a data augmentation with the advantag e of reducing systematic errors and improving diversity.”
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 from Cambridge, United Kingdom, by NewsRx journalists, research stated, “Generative AI has revolutioni zed medicine over the past several years. A generative adversarial network (GAN) is a deep learning framework that has become a powerful technique in medicine, particularly in ophthalmology and image analysis.” The news correspondents obtained a quote from the research from the University o f Cambridge, “In this paper we review the current ophthalmic literature involvin g GANs, and highlight key contributions in the field. We briefly touch on ChatGP T, another application of generative AI, and its potential in ophthalmology. We also explore the potential uses for GANs in ocular imaging, with a specific emph asis on 3 primary domains: image enhancement, disease identification, and genera ting of synthetic data. PubMed, Ovid MEDLINE, Google Scholar were searched from inception to October 30, 2022 to identify applications of GAN in ophthalmology. A total of 40 papers were included in this review. We cover various applications of GANs in ophthalmic-related imaging including optical coherence tomography, o rbital magnetic resonance imaging, fundus photography, and ultrasound; however, we also highlight several challenges, that resulted in the generation of inaccur ate and atypical results during certain iterations.”
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 - Robotics and Automation. According to news reporting out of Singapore, Singa pore, by NewsRx editors, research stated, “In this letter, we propose a continuo us-time lidar-inertial odometry (CT-LIO) system named SLICT2, which promotes two main insights. One, contrary to conventional wisdom, CT-LIO algorithm can be op timized by linear solvers in only a few iterations, which is more efficient than commonly used nonlinear solvers.” Financial support for this research came from National Research Foundation, Sing apore. Our news journalists obtained a quote from the research from Nanyang Technologic al University, “Two, CT-LIO benefits more from the correct association than the number of iterations. Based on these ideas, we implement our method with a custo mized solver where the feature association process is performed immediately afte r each incremental step, and the solution can converge within a few iterations. Our implementation can achieve real-time performance with a high density of cont rol points while yielding competitive performance in highly dynamical motion sce narios.”
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 Jinan, People’s Republic of China, by NewsRx editors, research stated, “Industrial robots endure severe vibrations in the grinding process due to factors such as joint flexibility, low damping, and contact force fluctuations. Additionally, the motion control of the robot prima rily relies on feedback signals from the motor -side encoders, while lacking mot ion state feedback from the load side.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Key Research and Development Program of China, Key R& D Program of Shandong Province, Aeronautical Science Foundation of China, Open F und of Laboratory of Aerospace Servo Actuation and Transmission, Shandong Provin ce enterprise innovation enhancement project.
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 Bucharest, Ro mania, by NewsRx editors, the research stated, “Artificial intelligence (AI) has radically changed companies’ vision of business development, based on its wides pread assimilation in key organisational processes. However, in organisational p ractice, the implementation of AI has generated major challenges, such as those related to the high need for investments in technologies, insufficient level of skill development, and resistance to change of personnel.” Our news journalists obtained a quote from the research from Bucharest Universit y of Economic Studies: “At the same time, under the conditions in which markets become increasingly dynamic, an increasingly emphasised requirement for companie s is to maintain increased organisational agility to quickly adapt to the challe nges of the external environment. Therefore, this study aims to analyse the role of AI in capitalising on an organisation’s digital capabilities as a means of a mplifying organisational agility in order to improve internal and external proce sses. The research conclusions were based on the application of a questionnaire to employees from various Romanian sectors of activity and for data analysis, st ructural equation modelling (PLS-SEM) and predictionoriented segmentation (PLS-P OS) were used. The main results indicate that the more digital capabilities orga nisations have, the more agile they become in relation to internal processes and changes in the external environment. This relationship is facilitated by the us e of AI tools. At the same time, prediction-oriented segmentation highlighted tw o distinct categories of organisations in terms of AI transformation: in those i n which this process is more advanced, the mediation effect is stronger.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Santiago, Chile, by NewsRx c orrespondents, research stated, “Intelligent transportation and advanced mobilit y techniques focus on helping operators to efficiently manage navigation tasks i n smart cities, enhancing cost efficiency, increasing security, and reducing cos ts.” Financial supporters for this research include Anid. Our news reporters obtained a quote from the research from University of Andres Bello: “Although this field has seen significant advances in developing large-sc ale monitoring of smart cities, several challenges persist concerning the practi cal assignment of delivery personnel to customer orders. To address this issue, we propose an architecture to optimize the task assignment problem for delivery personnel. We propose the use of different cost functions obtained with determin istic and machine learning techniques. In particular, we compared the performanc e of linear and polynomial regression methods to construct different cost functi ons represented by matrices with orders and delivery people information. Then, w e applied the Hungarian optimization algorithm to solve the assignment problem, which optimally assigns delivery personnel and orders. The results demonstrate t hat when used to estimate distance information, linear regression can reduce est imation errors by up to 568.52 km (1.51%) for our dataset compared to other methods.”
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