查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-If it walks like a particle, and talks like a particle... it may still not be a particle. A topological soliton is a s pecial type of wave or dislocation which behaves like a particle: it can move ar ound but cannot spread out and disappear like you would expect from, say, a ripp le on the surface of a pond. In a new study published in Nature, researchers fro m the University of Amsterdam demonstrate the atypical behaviour of topological solitons in a robotic metamaterial, something which in the future may be used to control how robots move, sense their surroundings and communicate. Topological solitons can be found in many places and at many different length sc ales. For example, they take the form of kinks in coiled telephone cords and lar ge molecules such as proteins. At a very different scale, a black hole can be un derstood as a topological soliton in the fabric of spacetime. Solitons play an i mportant role in biological systems, being relevant for protein folding and morp hogenesis - the development of cells or organs. The unique features of topological solitons - that they can move around but alwa ys retain their shape and cannot suddenly disappear - are particularly interesti ng when combined with so-called non-reciprocal interactions. "In such an interac tion, an agent A reacts to an agent B differently to the way agent B reacts to a gent A," explains Jonas Veenstra, a PhD student at the University of Amsterdam a nd first author of the new publication. Veenstra continues: "Non-reciprocal interactions are commonplace in society and complex living systems but have long been overlooked by most physicists because they can only exist in a system out of equilibrium. By introducing non-reciproca l interactions in materials, we hope to blur the boundary between materials and machines and to create animate or lifelike materials."
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 . According to news reporting from Weihai, People's Republic of China, by NewsRx j ournalists, research stated, "Underwater sound speed is one of the most signific ant factors that affects high-accuracy underwater acoustic positioning and navig ation." Financial supporters for this research include National Natural Science Foundati on of China; Shandong Provincial Natural Science Foundation; China Post-doctoral Science Foundation; Open Foundation of The State Key Laboratory of Geo-informat ion Engineering. Our news editors obtained a quote from the research from Shandong University: "D ue to its complex temporal variation, the forecasting of the underwater sound sp eed field (SSF) becomes a challenging task. Taking advantage of machine learning methods, we propose a new method for SSF forecasting based on the least square support vector machine (LSSVM) and a multi-parameter model, aiming to enhance th e forecasting accuracy of underwater SSF with hourly resolution. We first use a matching extension method to standardize profile data and train the LSSVM with t he parameters of observation time, temperature, salinity, and depth. We then emp loy radial basis function kernels to construct the forecasting model of SSF."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on robotics are disc ussed in a new report. According to news originating from Beijing, People's Repu blic of China, by NewsRx correspondents, research stated, "Biological fish exhib it a remarkably broad-spectrum visual perception capability." Financial supporters for this research include National Natural Science Foundati on of China; Joint Fund of The Ministry of Education For Equipment Pre-research; Postdoctoral Innovative Talent Support Program. The news correspondents obtained a quote from the research from Chinese Academy of Sciences: "Inspired by the eye arrangement of biological fish, we design a fi sh-like binocular vision system, thereby endowing underwater bionic robots with an exceptionally broad visual perception capacity. Firstly, based on the design principles of binocular visual field overlap and tangency to streamlined shapes, a fish-like vision system is developed for underwater robots, enabling wide-fie ld underwater perception without a waterproof cover. Secondly, addressing the si gnificant distortion and parallax of the vision system, a visual field stitching algorithm is proposed to merge the binocular fields of view and obtain a comple te perception image. Thirdly, an orientation alignment method is proposed that d raws scales for yaw and pitch angles in the stitched images to provide a referen ce for the orientation of objects of interest within the field of view. Finally, underwater experiments evaluate the perception capabilities of the fish-like vi sion system, confirming the effectiveness of the visual field stitching algorith m and the orientation alignment method."
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 out of Edmonton, Canada, by N ewsRx editors, research stated, "Bark beetle outbreaks can have serious conseque nces on forest ecosystem processes, biodiversity, forest structure and function, and economies. Thus, accurate and timely detection of bark beetle infestations in the early stage (known as green-attack detection) is crucial to mitigate the further impact, develop proactive forest management activities, and minimize eco nomic losses."
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 from Wuhan, People's Republic of Chi na, by NewsRx journalists, research stated, "The planetary boundary layer (PBL) is the lowermost part of the troposphere that governs the exchange of momentum, mass and heat between surface and atmosphere. To date, the radiosonde measuremen ts have been extensively used to estimate PBL height (PBLH); suffering from low spatial coverage and temporal resolution, the radiosonde data are incapable of p roviding a diurnal description of PBLH across the globe." Funders for this research include National Natural Science Foundation of China ( NSFC), National Oceanic Atmospheric Admin (NOAA) - USA, University of Wyoming.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotics have bee n published. According to news reporting out of Xi'an, People's Republic of Chin a, by NewsRx editors, research stated, "In order to solve the problem of graspin g failure or missing grasping due to the change of target gangue position and po sture caused by belt slip, deviation and belt speed fluctuation of belt conveyor when the gangue sorting robot sorts gangue, an improved ORB-FLANN efficient mat ching method of gangue recognition image and sorting image is proposed."
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 new report. According to news originating from Milan, Ital y, by NewsRx editors, the research stated, "Artificial intelligence (AI) is a ra pidly developing technology that has the potential to create previously unimagin able chances for our societies." Financial supporters for this research include European Association of Social Ps ychology. The news editors obtained a quote from the research from University of Milano Bi cocca: "Still, the public's opinion of AI remains mixed. Since AI has been integ rated into many facets of daily life, it is critical to understand how people pe rceive these systems. The present work investigated the perceived social risk an d social value of AI. In a preliminary study, AI's social risk and social value were first operationalized and explored by adopting a correlational approach. Re sults highlighted that perceived social value and social risk represent two sign ificant and antagonistic dimensions driving the perception of AI: the higher the perceived risk, the lower the social value attributed to AI. The main study con sidered pretested AI applications in different domains to develop a classificati on of AI applications based on perceived social risk and social value."
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 in Alesund, Norway, by Ne wsRx journalists, research stated, "Weber B fractures with concomitant deltoid l igament injury have traditionally been operated with open reduction and internal fixation of the fibular fracture. More recently, clinical studies have suggeste d that some fractures have concomitant partial deltoid ligament injury with the deep posterior tibiotalar ligament intact (SER4a), allowing for nonoperative tre atment in this subgroup." Financial support for this research came from Helse Sor-0st RHF.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Fede ral University of Minas Gerais-UFMG by NewsRx correspondents, research stated, " Objective: the objective of this article is to address the misalignment between the expectations of Artificial Intelligence (or just AI) systems and what they c an currently deliver. Despite being a pervasive and cutting-edge technology pres ent in various sectors, such as agriculture, industry, commerce, education, prof essional services, smart cities, and cyber defense, there exists a discrepancy b etween the results some people anticipate from AI and its current capabilities."
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 - Sup port Vector Machines is the subject of a report. According to news reporting out of Nanjing, People's Republic of China, by NewsRx editors, research stated, "We aimed to develop machine learning (ML) models based on diffusion- and perfusion -weighted imaging fusion (DP fusion) for identifying stroke within 4.5 h, to com pare them with DWIand/ or PWI-based ML models, and to construct an automatic se gmentation-classification model and compare with manual labeling methods. ML mod els were developed from multimodal MRI datasets of acute stroke patients within 24 h of clear symptom onset from two centers."
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