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 ar tificial intelligence. According to news reporting from the College of Health an d Human Services by NewsRx journalists, research stated, “US hospitals are rapid ly adopting Artificial Intelligence (AI), but there is a lack of knowledge about AI-adopting hospitals’ characteristics, trends, and spread.” Our news journalists obtained a quote from the research from College of Health a nd Human Services: “This study aims to fill this gap by analyzing the 2022 Ameri can Hospital Association (AHA) data. The novel Hospital AI Adoption Model (HAIAM ) is developed to categorize hospitals based on their AI adoption characteristic s in the fields of - 1) Predicting Patient Demand, 2) Optimizing Workflow, 3) Au tomating Routine Tasks, 4) Staff Scheduling, and 5) Predicting Staffing Needs. N early one-fifth of US hospitals (1107 or 18.70%) have adopted some form of AI by 2022. HAIAM shows that only 3.82% of hospitals are h igh adopters, followed by 6.22% moderate and 8.67% l ow adopters. AI adoption rates are highest in optimizing workflow (12.91% ), while staff scheduling (9.53%) has the lowest growth rate. Hospi tals with large bed sizes and outpatient surgical departments, private not-for-p rofit ownership, teaching status, and part of health systems are more likely to adopt different forms of AI.”
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 Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Braincontrolled mob ile robotics can provide restoration of mobility for individuals with severe phy sical disabilities and empower healthy people with a broader reachable range in particular environments, which have been flourished over the past twenty years. This paper conducts a systematic state-of-the-art overview of noninvasive EEG-ba sed intelligent mobile robots.” Financial supporters for this research include Natural Science Basic Research Pr ogram of Shaanxi Province, Guangdong Basic and Applied Basic Research Foundation , Basic Research Programs of Taicang, Fundamental Research Funds for the Central Universities.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on evolutionary computat ion have been presented. According to news originating from the Tokyo Institute of Technology by NewsRx correspondents, research stated, “The covariance matrix adaptation evolution strategy (CMA-ES) is one of the most successful methods for solving continuous black-box optimization problems.” Our news journalists obtained a quote from the research from Tokyo Institute of Technology: “A practically useful aspect of CMA-ES is that it can be used withou t hyperparameter tuning. However, the hyperparameter settings still have a consi derable impact on performance, especially for difficult tasks, such as solving multimodal or noisy problems. This study comprehensively explores the impact of learning rate on CMA-ES performance and demonstrates the necessity of a small learning rate by considering ordinary differential equatio ns. Thereafter, it discusses the setting of an ideal learning rate. Based on the se discussions, we develop a novel learning rate adaptation mechanism for CMA-ES that maintains a constant signal-to-noise ratio.”
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 Machine Learn ing have been published. According to news reporting originating from Blacksburg , Virginia, by NewsRx correspondents, research stated, “Artificial Intelligence (AI) enabled systems are becoming capable and widespread. The use of AI in criti cal system functions warrants a review of existing test and evaluation (T& E) tools, methods, processes, infrastructure, and workforce to ensure they are s uited to support adequate evaluation of the operational performance of such syst ems.” Funders for this research include United States Department of Defense, Director, Operational Test and Evaluation (DOT&E) through the Office of the Assistant Secretary of Defense for Research and Engineering (ASD (RE) ).
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 Rome, Italy, by NewsRx correspondents, research stated, “Pain diagnosis remains a challenging t ask due to its subjective nature, the variability in pain expression among indiv iduals, and the difficult assessment of the underlying biopsychosocial factors. In this complex scenario, artificial intelligence (AI) can offer the potential t o enhance diagnostic accuracy, predict treatment outcomes, and personalize pain management strategies.” Our news journalists obtained a quote from the research from the Sapienza Univer sity of Rome, “This review aims to dissect the current literature on computer-ai ded diagnosis methods. It also discusses how AI-driven diagnostic strategies can be integrated into multimodal models that combine various data sources, such as facial expression analysis, neuroimaging, and physiological signals, with advan ced AI techniques. Despite the significant advancements in AI technology, its wi despread adoption in clinical settings faces crucial challenges. The main issues are ethical considerations related to patient privacy, biases, and the lack of reliability and generalizability.”
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 Robotic s. According to news reporting out of Tianjin, People’s Republic of China, by Ne wsRx editors, research stated, “Pneumatic muscles, being biomimetic actuators wi th excellent flexibility and high power density, are highly favored in the field of flexible robots. Nevertheless, the accompanying problems, including high non linearities, time-varying parameters, hysteresis, etc., also bring a lot of trou ble to their motion control.” Funders for this research include National Natural Science Foundation of China ( NSFC), Shenzhen Science and Technology Program, Taishan Scholar Foundation of Sh andong Province, Outstanding Youth Foundation of Shandong Province, Fundamental Research Funds for the Central Universities.
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 Jiangsu, People’s Repu blic of China, by NewsRx editors, research stated, “Urban block form significant ly impacts energy and environmental performance. Therefore, optimizing urban blo ck design in the early stages contributes to enhancing urban energy efficiency a nd environmental sustainability.”Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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 robotics have been published. According to news reporting from Gyeongsan, South Korea, by New sRx journalists, research stated, “Care and nursing training (CNT) refers to dev eloping the ability to effectively respond to patient needs by investigating the ir requests and improving trainees’ care skills in a caring environment.” The news editors obtained a quote from the research from Daegu University: “Alth ough conventional CNT programs have been conducted based on videos, books, and r ole-playing, the best approach is to practice on a real human. However, it is ch allenging to recruit patients for continuous training, and the patients may expe rience fatigue or boredom with iterative testing. As an alternative approach, a patient robot that reproduces various human diseases and provides feedback to tr ainees has been introduced. This study presents a patient robot that can express feelings of pain, similarly to a real human, in joint care education.”
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 robotic s. According to news reporting out of the Instituto Politecnico Nacional by News Rx editors, research stated, “Trajectory interception is a critical synchronizat ion element in the transportation and manufacturing sectors using robotic platfo rms.” Funders for this research include Sip.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting originating from Toulouse, France, by NewsRx correspondents, research stated, “Visual navigation has achieved significant maturity in recent decades. Indirect methods relying on sparse feature extraction, have become a standard for state estimation.” Funders for this research include Centre National D’etudes Spatiales, Occitanie Region. Our news editors obtained a quote from the research from the University of Toulo use, “However, these techniques are not frequently utilized as inputs for path p lanning due to the sparse nature of their maps. To address this limitation, this paper introduces a method to densify the sparse map generated by local indirect Visual or Visual Inertial Odometry (VO-VIO) based on factor graph sparsificatio n. The intended application is the autonomous navigation of Unmaned Ground Vehic les (UGV) in planetary environments without the need to perform computationally expensive dense stereo vision. An incremental 3D mesh is built upon a 2D triangu lation of the features identified by the VO. A photometric consistency check is conducted on each triangle, resulting in a triangle soup rather than a manifold mesh. A dense point cloud is then extracted by casting rays on the triangle soup and using the most reliable triangle to compute depth. Geometric traversability information can subsequently be derived from this point cloud to aid UGV naviga tion.”
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