查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnology - Nanocomposites. According to news reportingoriginating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated,“Designing 4D printed shape memory polymers (SMPs) with mechanical robust and multi-stimulus responsesapplied in soft robot holds vast promise. While significant progress has been made in this area,implementing SMP composites with multi-stimulus response capabilities for fused filament fabrication(FFF) 4D printing typically sacrifices the inherent mechanical properties of the materials, limiting therequirements for robust and tough applications of SMP in soft robotics.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligence is the subject of a new report. According to newsreporting out of Bangkok, Thailand, by NewsRx editors, research stated, “Recruitment is a fundamentalaspect of Human Resource Management to drive organizational performance. Traditional recruitmentprocesses, with manual stages, are time-consuming and inefficient.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artificial intelligence. According to news reporting originatingfrom the University of Ljubljana by NewsRx correspondents, research stated, “This paper exploresthe evolving perception of artificial intelligence (AI) systems in our increasingly AI-driven world, focusingon conversational AI or chatbots.”Our news journalists obtained a quote from the research from University of Ljubljana: “With the rise ofhuman-like robotic AI systems, there is a growing need to understand the identity these machines assumeas they take on roles previously reserved for humans, such as caring for the elderly and educating children.The central thesis posits that comprehending the identity of such AI systems necessitates considering theaspect of our own identity that we shape and project onto them in our interactions with these systems.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on cyborg and bionic systems is now available. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Anomaly detection haswide applications to help people recognize false, intrusion, flaw, equipment failure, etc. In most practicalscenarios, the amount of the annotated data and the trusted labels is low, resulting in poor performanceof the detection.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of National Research University by NewsRx editors, research stated, “With an emphasis onmachine learning and artificial intelligence (AI), the Internet of Things (IoT), robotics, and data analytics,this research offers a methodical empirical evaluation of cutting-edge technologies in the field of smartmanufacturing.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Ulm, Germany, by NewsRx editors, research stated, “Computed tomography (CT) can capture volumeslarge enough to measure a statistically meaningful number of micron-sized particles with a sufficientlygood resolution to allow for the analysis of individual particles. However, the development of methods toefficiently investigate such image data and interpretably model the observed particle features is still anactive field of research.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. Accordingto news reporting originating in Klagenfurt, Austria, by NewsRx journalists, research stated, “This letterre-visits the problem of visual-inertial navigation system (VINS) and presents a novel filter design we dubthe multi state constraint equivariant filter (MSCEqF, in analogy to the well known MSCKF). We define asymmetry group and corresponding group action that allow specifically the design of an equivariant filterfor the problem of visualinertial odometry (VIO) including IMU bias, and camera intrinsic and extrinsiccalibration states.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligence is the subject of a report. According to news originatingfrom Istanbul, Turkey, by NewsRx correspondents, research stated, “The existence of a very largenumber of porous materials is a great opportunity to develop innovative technologies for carbon dioxide(CO) capture to address the climate change problem. On the other hand, identifying the most promisingadsorbent and membrane candidates using iterative experimental testing and brute-force computersimulations is very challenging due to the enormous number and variety of porous materials.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingout of Munich, Germany, by NewsRx editors, the research stated, “In this paper, we study consensus-basedoptimisation (CBO), a versatile, flexible and customisable optimisation method suitable for performingnonconvex and nonsmooth global optimisations in high dimensions. CBO is a multi-particle metaheuristic,which is effective in various applications and at the same time amenable to theoretical analysis thanks toits minimalistic design.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Autonomousterrain traversal of articulated tracked robots can reduce operator cognitive load to enhance taskefficiency and facilitate extensive deployment. We present a novel hybrid trajectory optimization methodaimed at generating efficient, stable, and smooth traversal motions.”
NETL
NSTL