查看更多>>摘要：Fresh data on Machine Learning are pre sented in a new report. According to news originating from Gaithersburg, Marylan d, by NewsRx correspondents, research stated, "Automation and machine learning t echniques are poised to dramatically accelerate the development of new materials while simultaneously increasing our understanding of the physics and chemistry that underlie the formation of such materials. In particular, the convergence of accessible machine learning tools, the availability of highquality data, and t he advent of accessible experimental automation platforms have led to a number o f closed-loop autonomous experimentation platforms or ‘self-driving labs."
查看更多>>摘要：Investigators publish new report on Ro botics. According to news reporting originating from Trieste, Italy, by NewsRx c orrespondents, research stated, "Micro-organisms propel themselves in viscous en vironments by the periodic, nonreciprocal beating of slender appendages known as flagella. Active materials have been widely exploited to mimic this form of loc omotion." Funders for this research include Ministry of Education, Universities and Resear ch (MIUR), Gruppo Nazionale di Fisica Matematica' (GNFM) of the ‘Istituto Nazion ale di Alta Matematica' (INdAM). Our news editors obtained a quote from the research from SISSA - International S chool for Advanced Studies, "However, the realization of such coordinated beatin g in biomimetic flagella requires complex actuation modulated in space and time. We prove through experiments on polyelectrolyte hydrogel samples that directed undulatory locomotion of a soft robotic swimmer can be achieved by untethered ac tuation from a uniform and static electric field. A minimal mathematical model i s sufficient to reproduce, and thus explain, the observed behavior. The periodic beating of the swimming hydrogel robot emerges from flutter instability thanks to the interplay between its active and passive reconfigurations in the viscous environment. Interestingly, the flutter-driven soft robot exhibits a form of ele ctrotaxis whereby its swimming trajectory can be controlled by simply reorientin g the electric field. Our findings trace the route for the embodiment of mechani cal intelligence in soft robotic systems by the exploitation of flutter instabil ity to achieve complex functional responses to simple stimuli. While the experim ental study is conducted on millimeter-scale hydrogel swimmers, the design princ iple we introduce requires simple geometry and is hence amenable for miniaturiza tion via micro-fabrication techniques."
查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting out of Cagliari, Italy, by NewsRx ed itors, research stated, "This paper investigates tensile behavior of through thi ckness reinforced carbon/epoxy lap joint composite laminates, reinforced with st eel z-pins and staples, arranged in two rows parallel to the overlapping edges, via experimental testing. Acoustic emission (AE) monitoring is employed during t he displacement-controlled tensile tests to monitor damage propagation during lo ading using the Vallen AMSY-5 measurement system, with two piezoelectric sensors being mounted at the laminate surface." Financial support for this research came from Lublin University of Technology. Our news journalists obtained a quote from the research from the University of C agliari, "Furthermore, machine learning algorithms are integrated to process AE data, enabling the recognition and prediction of failure mechanisms. Fractograph ic analyses were performed to observe the nature of damage post-failure. The exp erimental research was enriched with capturing high-resolution pictures of total crack propagation length growth using a high-resolution photocamera. The perfor med empirical tests demonstrated that the unstable propagation of a crack along the bonding interface has led to an eventual breakdown of both unreinforced and reinforced joints."
查看更多>>摘要：Investigators discuss new findings in artificial intelligence. According to news originating from Washington, District of Columbia, by NewsRx editors, the research stated, "Identifying the influenti al variables that provide early warning of financial network instability is chal lenging, in part due to the complexity of the system, uncertainty of a failure, and nonlinear, time-varying relationships between network participants." Financial supporters for this research include The Office of Financial Research (Ofr), U.S. Department of The Treasury. Our news journalists obtained a quote from the research from George Washington U niversity: "In this study, we introduce a novel methodology to select variables that, from a data-driven and statistical modeling perspective, represent these r elationships and may indicate that the financial network is trending toward inst ability. We introduce a novel variable selection methodology that leverages Shap ley values and modified Borda counts, in combination with statistical and machin e learning methods, to create an explainable linear model to predict relationshi p value weights between network participants. We validate this new approach with data collected from the March 2023 Silicon Valley Bank Failure."
查看更多>>摘要：Fresh data on robotics are presented i n a new report. According to news reporting originating from Tianjin, People's R epublic of China, by NewsRx correspondents, research stated, "To address the dem ands for precision and load-bearing capacity in the installation of building pan els, a hybrid force-position driven robot with redundant actuation has been deve loped. The mechanical performance of this robot is primarily governed by its cen tral parallel mechanism, which is equipped with redundant actuators matching the degrees of freedom." Funders for this research include National Natural Science Foundation of China; Postdoctoral Research Project in Hebei Province.
查看更多>>摘要：Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting originating in Beijing, People's Republic of China, by NewsRx journalists, research stated, "Data-drive n trajectory prediction is critical in autonomous vehicles, which requires high- quality data. However, discussions about the compatibility of data collected fro m different countries remain limited, with a typical issue being the different d riving rules in various countries." Financial support for this research came from National Key Research & Development Program of China. The news reporters obtained a quote from the research from Tsinghua University, "Therefore, we propose a hierarchical framework for mixing left and right-hand d riving data to support trajectory prediction. Integrated with a proposed LLM-bas ed sample generation method, the framework utilizes mirroring, MMD and sample ge neration incrementally to reduce the domain gap between datasets."
查看更多>>摘要：A new study on Robotics is now availab le. According to news reporting out of Brno, Czech Republic, by NewsRx editors, research stated, "The market of collaborative robots is thriving due to their in creasing affordability. The ability to program a collaborative robot without req uiring a highly skilled specialist would increase their spread even more." Financial support for this research came from European Union (EU). Our news journalists obtained a quote from the research from the Brno University of Technology, "Visual programming is a prevalent contemporary approach for end -users on desktops or handheld devices, allowing them to define the program logi c quickly and easily. However, separating the interface from the robot's task sp ace makes defining spatial features difficult. At the same time, augmented reali ty can provide spatially situated interaction, which would solve the issue and a llow end-users to intuitively program, adapt, and comprehend robotic programs th at are inherently highly spatially linked to the real environment. Therefore, we have proposed Spatially Anchored Actions to address the problem of comprehensio n, programming, and adaptation of robotic programs by end-users, which is a form of visual programming in augmented reality. It uses semantic annotation of the environment and robot hand teaching to define spatially important points precise ly. Individual program steps are created by attaching parametrizable, high -leve l actions to the points. Program flow is then defined by visually connecting ind ividual actions. The interface is specifically designed for tablets, which provi de a more immersive experience than phones and are more affordable and wellknown by users than head-mounted displays. The realized prototype of a handheld AR us er interface was compared against a commercially available desktop-based visual programming solution in a user study with 12 participants."
查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting from Milan, Italy, by NewsRx journal ists, research stated, "Microclimate mapping and monitoring are of fundamental i mportance to manage natural resources and optimize agricultural procedures. Prec ision agriculture is based on the management of spatial-temporal microclimatic v ariation in fields monitored by IoT systems." Funders for this research include FAIR-Future Artificial Intelligence Research: Adaptive AI methods for Digital Health, DNDG Srl.
查看更多>>摘要：2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Robotics. Accordin g to news reporting out of Ithaca, New York, by NewsRx editors, research stated, "Shape morphing is vital to locomotion in microscopic organisms but has been ch allenging to achieve in sub-millimetre robots. By overcoming obstacles associate d with miniaturization, we demonstrate microscopic electronically configurable m orphing metasheet robots." Funders for this research include United States Department of Defense, National Science Foundation (NSF), Army Research Office, Cornell Center for Materials Res earch, Air Force Office of Scientific Research (AFOSR), National Science Foundat ion (NSF), Biotechnology Resource Center (BRC) Imaging Facility at the Cornell I nstitute of Biotechnology, National Institutes of Health (NIH) - USA.
查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting from Paris, France, by NewsRx journa lists, research stated, "Studying without sampling the fine layering of heritage objects, usually heterogeneous in composition and with an uneven surface requir es new methodologies. Single spot analyses are not representative and may lead t o misinterpretation; thus, they are not sufficient to conclude on the layering. 2D-imaging is essential to analyze a bigger area to recover the characteristics of heritage objects." Financial supporters for this research include Foundation Group EDF, C2RMF.
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