查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news originating from Zhengzhou, People's Republic of China, by NewsRx correspondents, research stated, "Combining a machine-learning (ML) surrogate model with a particle swarm optimization (PSO) algorithm, we propose a design strategy to search for high-entropy alloys (HEAs) with high hardness in the Al-Co-Cr- Cu-Fe-Ni system. The relationship between various materials descriptors and a targeted property can be established by the ML models based on the data set, which contains the mole fraction of each element." Financial supporters for this research include Key Scientific and Technological Project of Henan Province, Strategic Research and Consulting Project of Chinese Academy of Engineering, National Natural Science Foundation of China (NSFC), Zhong Yuan Science and Technology Innovation Leadership Program, National Science Foundation (NSF), Army Research Office Project.
查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting out of Wroclaw, Poland, by NewsRx editors, research stated, "Divergent thinking (DT) has been at the heart of creativity measurement for over seven decades. At the same time, large-scale usage of DT tests is limited due to the tedious procedure of scoring the responses, which often requires several judges to assess thousands of participants' ideas."
查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news originating from Manila, Philippines, by NewsRx correspondents, research stated, "To evaluate mydriatic handheld retinal imaging performance assessed by point-of-care (POC) artificial intelligence (AI) as compared with retinal image graders at a centralized reading center (RC) in identifying diabetic retinopathy (DR) and diabetic macular edema (DME). Prospective, comparative study. Five thousand five hundred eighty-five eyes from 2793 adult patients with diabetes."
查看更多>>摘要：A new study on robotics is now available. According to news reporting originating from Swansea, United Kingdom, by NewsRx correspondents, research stated, "The rail industry is constantly facing challenges related to safety with regard to the detection of surface cracks and internal defects within rail tracks." The news correspondents obtained a quote from the research from Swansea University: "Significant focus has been placed on developing sensor technologies that would facilitate the detection of flaws that compromise rail safety. In parallel, robot automation has demonstrated significant advancements in the integration of sensor technologies within end effectors. This study investigates the novel integration of an ultrasonic sensor within a robotic platform specifically for the application of detecting surface cracks and internal defects within rail tracks. The performance of the robotic sensor system was assessed on a rail track specimen containing sacrificial surface cracks and internal defects and then compared against a manual detection system. The investigation concludes that the robotic sensor system successfully identified internal defects in the web region of the rail track when utilising a 60° and 70° wedged probe, with a frequency range between 4 MHz and 5 MHz."
查看更多>>摘要：New study results on artificial intelligence have been published. According to news originating from Petroleum-Gas University of Ploiesti by NewsRx correspondents, research stated, "In the current era of advanced digital technologies, form recognition is integrated into numerous applications, from computer vision to industrial automation. This paper focuses on a comparative analysis of two distinct form recognition algorithms, namely harnessing the power of artificial intelligence (AI) and image processing techniques."
查看更多>>摘要：A new study on Artificial Intelligence is now available. According to news reporting originating from Turku, Finland, by NewsRx editors, the research stated, "Value creation based on artificial intelligence (AI) can significantly change global healthcare. Diagnostics, therapy and drug discovery startups are some key forces behind this change." Our news editors obtained a quote from the research from Abo Akademi University, "This article aims to study the process of start-ups' value creation within healthcare. Design/methodology/approach A multiple case study method and a business model design approach were used to study nine European startups developing AI healthcare solutions. Obtained information was performed using within and cross-case analysis. Three unique design elements were established, with 16 unique frames and three unifying design themes based on business models for AI healthcare start-ups. Originality/value Our in-depth framework focuses on the features of AI start-up business models in the healthcare industry."
查看更多>>摘要：New study results on robotics have been published. According to news originating from Petroleum-Gas University of Ploiesti by NewsRx correspondents, research stated, "The objective of this paper is to develop the control system for driving a mobile robot using the Arduino board, controlled by an ESP 32 logic processor, named SPIDER4LEGS." The news correspondents obtained a quote from the research from Petroleum-Gas University of Ploiesti: "In order to be used in the oil and gas industry, for example for the internal inspection of oil product transport pipelines, the four-legged spider type robot version was chosen, especially due to the special mobility it offers. The created control system must ensure the control of the movement of the kinematic couplings in the construction of the legs, the monitoring and maintenance of stability as well as the establishment of the optimal stepping sequences."
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "The accurate identification of chemicals with ocular toxicity is of paramount importance in health hazard assessment. In contemporary chemical toxicology, there is a growing emphasis on refining, reducing, and replacing animal testing in safety evaluations." Our news editors obtained a quote from the research from the East China University of Science and Technology, "Therefore, the development of robust computational tools is crucial for regulatory applications. The performance of predictive models is heavily reliant on the quality and quantity of data. In this investigation, we amalgamated the most extensive dataset (4901 compounds) sourced from governmental GHS-compliant databases and literature to develop binary classification models of chemical ocular toxicity. We employed 12 molecular representations in conjunction with six machine learning algorithms and two deep learning algorithms to create a series of binary classification models. The findings indicated that the deep learning method GCN outperformed the machine learning models in cross-validation, achieving an impressive AUC of 0.915. However, the top-performing machine learning model (RF-Descriptor) demonstrated excellent performance with an AUC of 0.869 on the test set and was therefore selected as the best model. To enhance model interpretability, we conducted the SHAP method and attention weights analysis. The two approaches offered visual depictions of the relevance of key descriptors and substructures in predicting ocular toxicity of chemicals."
查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news originating from Chester, United Kingdom, by NewsRx editors, the research stated, "Behavioural asymmetries displayed by individuals, such as hand preference and foot preference, tend to be lateralized in the same direction (left or right)." Financial supporters for this research include University of Chester. The news journalists obtained a quote from the research from University of Chester: "This may be because their co-ordination conveys functional benefits for a variety of motor behaviours. To explore the potential functional relationship between key motor asymmetries, we examined whether footedness, handedness, or throwing arm was the strongest predictor of eyedness. Behavioural asymmetries were measured by self-report in 578 left-handed and 612 right-handed individuals. Cluster analysis of the asymmetries revealed four handedness groups: consistent right-handers, left-eyed right-handers, consistent left-handers, and inconsistent left-handers (who were left-handed but right-lateralized for footedness, throwing and eyedness). Supervised machine learning models showed the importance of footedness, in addition to handedness, in determining eyedness. In right-handers, handedness was the best predictor of eyedness, followed closely by footedness, and for left-handers it was footedness."
查看更多>>摘要：A new study on artificial intelligence is now available. According to news reporting originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "In recent years, there has been considerable interest in applying Artificial Intelligence (AI) in the field of aerospace engineering." Our news editors obtained a quote from the research from Shanghai Jiao Tong University: "However, the existing literature on this topic is not sufficiently comprehensive. This paper is purposed to solve this problem by providing a thorough analysis and overview of the current state of AI in aerospace engineering. The paper is divided into four sections. Firstly, the use of AI in autonomous navigation and flight control is explored, focusing on advanced algorithms and sensor technologies that enable highly autonomous and efficient aircraft navigation. Secondly, the application of AI in image recognition and computer vision is discussed, highlighting its significance in remote sensing and aerospace component quality inspection. The third section examines the integration of AI in unmanned aerial vehicles (UAV), covering the control system and the utilization of machine learning techniques for improved UAV capabilities."
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