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 out of Uttarakhand, India, by NewsRx editors, research stated, "Landslide is one of the most destructive hazards in the Upper Beas valley of the Himalayan region of India. Landslide susceptibility mapping is an important and preliminary task in order to prospect the spatial v ariability of landslide prone zones in the area." Financial support for this research came from Council of Scientific & Industrial Research (CSIR) - India. Our news journalists obtained a quote from the research from the Wadia Institute of Himalayan Geology, "As the use of machine learning algorithms has increased the success rate in susceptibility studies, the performance of the four machine learning models, namely Naive Bayes (NB), K-Nearest Neighbor (KNN), Random Fores t (RF) and Extreme Gradient Boosting (XGBoost) were initially tested for landsli de susceptibility mapping in the area. Landslide inventory containing both lands lide and non-landslide data and thirteen landslide conditioning factors were con sidered to train the models. The models were optimized using hyperparameter opti mization and input factors selection based on variable importance. Among the fou r models, Extreme Gradient Boosting (XGBoost), an advanced ensemble-based machin e learning algorithm, demonstrated superior performance (AUC = similar to 0.91) followed by RF, NB and KNN with AUC values of similar to 0.88, similar to 0.87, and similar to 0.82. Therefore, XGboost model was selected for detailed study, i ncluding sensitivity analysis. The results depict that 44% of the total area falls under high and very high susceptible zones. Southward facing sl opes having inclination between 31 degrees-50 degrees located at an elevation of 2001-3000 m in the vicinity of road and drainage network contain most of the la ndslide susceptible zones."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on machine translati on are discussed in a new report. According to news reporting from Nanjing, Peop le's Republic of China, by NewsRx journalists, research stated, "Machine transla tion systems have been widely adopted in our daily life, making life easier and more convenient. Unfortunately, erroneous translations may result in severe cons equences, such as financial losses." Our news reporters obtained a quote from the research from Nanjing University: " This requires to improve the accuracy and the reliability of machine translation systems. However, it is challenging to test machine translation systems because of the complexity and intractability of the underlying neural models. To tackle these challenges, we propose a novel metamorphic testing approach by syntactic tree pruning (STP) to validate machine translation systems. Our key insight is t hat a pruned sentence should have similar crucial semantics compared with the or iginal sentence. Specifically, STP (1) proposes a core semantics-preserving prun ing strategy by basic sentence structures and dependency relations on the level of syntactic tree representation, (2) generates source sentence pairs based on t he metamorphic relation, and (3) reports suspicious issues whose translations br eak the consistency property by a bag-of-words model. We further evaluate STP on two state-of-the-art machine translation systems (i.e., Google Translate and Bi ng Microsoft Translator) with 1,200 source sentences as inputs. The results show that STP accurately finds 5,073 unique erroneous translations in Google Transla te and 5,100 unique erroneous translations in Bing Microsoft Translator (400% more than state-of-the-art techniques), with 64.5% and 65.4% precision, respectively."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting out of Coimbra, Portugal, by NewsRx editors, research stated, "Porous concrete with expanded clay inherent porosity makes it an interesting and effective acoustic material, applied in numerous sc enarios such as highways, airports and architectural structures, due to its capa city to mitigate noise pollution, by absorbing and damping sound waves." Financial supporters for this research include Fundacao para a Ciencia e a Tecno logia (FCT), FCT/MCTES through national funds (PIDDAC) under Associate Laborator y Advanced Production and Intelligent Systems ARISE, Fundacao para a Ciencia e a Tecnologia (FCT).
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 originating in Shenzhen, People's Republic o f China, by NewsRx journalists, research stated, "With the increasing complexity of industrial production and manufacturing tasks, industrial robots are expecte d to learn intricate operations from simple actions easily and quickly with adap tion to dynamic environment. In this paper, a task-parameterized multi -task lea rning framework is proposed to facilitate rapid learning of operational skills f or industrial robots." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Shenzhen Science and Technology Program, China, Guangdong Ba sic and Applied Basic Research Foundation, China.
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 artific ial intelligence. According to news reporting originating from Jiangsu, People's Republic of China, by NewsRx correspondents, research stated, "Machine learning has sparked significant interest in the realm of designing mechanical metamater ials. These metamaterials derive their unique properties from microstructures ra ther than the constituent materials themselves." Funders for this research include National Key Research And Development Program of China. The news editors obtained a quote from the research from Nanjing Tech University : "In this context, we introduce a novel data-driven approach for the design of an orthotropic cellular metamaterials with specific target properties. Our metho dology leverages a Bezier curve framework with strategically placed control poin ts. A machine learning model harnesses the positions of these control points to achieve the desired material properties. This process consists of two main steps . Initially, we establish a forward model capable of predicting material propert ies based on given designs. Then, we construct an inverse model that takes mater ial properties as inputs and produces corresponding design parameters as outputs . Our results demonstrate that the dataset generated using the Bezier curve-base d strategy shows a wide range of elastic distributions. Describing the geometry in terms of design parameters, rather than pixel-based figures, enhances the tra ining efficiency of the networks."
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 originating from Nantong, People 's Republic of China, by NewsRx correspondents, research stated, "The intersecti on of Artificial Intelligence (AI) and perinatal mental health research presents promising avenues, yet uncovers significant challenges for innovation. This rev iew explicitly focuses on this multidisciplinary field and undertakes a comprehe nsive exploration of existing research therein." Our news journalists obtained a quote from the research from Nantong University, "Through a scoping review guided by the Preferred Reporting Items for Systemati c Reviews and Meta-Analyses (PRISMA) framework, we searched relevant literature spanning a decade (2013-2023) and selected fourteen studies for our analysis. We first provide an overview of the main AI techniques and their development, incl uding traditional methods across different categories, as well as recent emergin g methods in the field. Then, through our analysis of the literature, we summari ze the predominant AI and ML techniques adopted and their applications in perina tal mental health studies, such as identifying risk factors, predicting perinata l mental health disorders, voice assistants, and Q&A chatbots."
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 originating from Ulm, Germany, b y NewsRx correspondents, research stated, "With the introduction of an artificia l intelligence-based dashboard into the clinic, the project SURGE-Ahead responds to the importance of improving perioperative geriatric patient treatment and co ntinuity of care. The use of artificial intelligence to process and analyze data automatically, aims at an evidence-based evaluation of the patient's health con dition and recommending treatment options." Funders for this research include Bundesministerium fur Bildung und Forschung, U niversitat Ulm.
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 originating from Ningbo, People's Republic of China, b y NewsRx correspondents, research stated, "Trajectory planning is a crucial aspe ct of macro -micro robotic systems (MMRSs), especially when the system has high degrees of freedom (DOFs). In the field of robotic polishing, the MMRS is usuall y composed of an industrial robot and an end -effector, which is responsible for polishing force control." Financial supporters for this research include National Key Research and Develop ment Program of China, Key Research and Development Program of Zhejiang Province , China, Natural Science Foundation of Zhejiang Province, Ningbo Key Project of Scientific and Technological Innovation 2025, China.
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 reporting originating from Che ngdu, People's Republic of China, by NewsRx correspondents, research stated, "Th e accumulation of large datasets and increasing data availability have led to th e emergence of data-driven paleontological studies, which reveal an unprecedente d picture of evolutionary history. However, the fastgrowing quantity and complic ation of data modalities make data processing laborious and inconsistent, while also lacking clear benchmarks to evaluate data collection and generation, and th e performances of different methods on similar tasks." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Youth Innovation Promotion Association, CAS, Yunnan Revitali zation Talent Support Program, Swedish Research Council, Chengdu University of T echnology Zhufeng Starting Grant.
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 Pittsburgh, Pennsylvania, by NewsRx correspondents, research stated, "The demand for green h ydrogen has raised concerns over the availability of iridium used in oxygen evol ution reaction catalysts. We identify catalysts with the aid of a machine learni ng-aided computational pipeline trained on more than 36,000 mixed metal oxides." Our news editors obtained a quote from the research from Carnegie Mellon Univers ity, "The pipeline accurately predicts Pourbaix decomposition energy () from unr elaxed structures with a mean absolute error of 77 meV per atom, enabling us to screen 2070 new metallic oxides with respect to their prospective stability unde r acidic conditions. The search identifies RuCrTiO as a candidate having the pro mise of increased durability: experimentally, we find that it provides an overpo tential of 267 mV at 100 mA cm and that it operates at this current density for over 200 h and exhibits a rate of overpotential increase of 25 mV h. Surface den sity functional theory calculations reveal that Ti increases metal-oxygen covale ncy, a potential route to increased stability, while Cr lowers the energy barrie r of the HOO* formation rate-determining step, increasing activity compared to R uO and reducing overpotential by 40 mV at 100 mA cm while maintaining stability. "
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