查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting or iginating from Changsha, People's Republic of China, by NewsRx correspondents, r esearch stated, "Vitiligo is a skin disorder that is associated with a decreased risk of skin cancer, but it can lead to increased susceptibility to sunburn, ps ychological distress, and disruptions in daily life, consists of two primary sub types: segmental and nonsegmental vitiligo, each with distinct underlying mechan isms. However, the reliable identification of diagnostic markers and the ability to differentiate between these subtypes have remained elusive challenges."
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 reporting out of Tianjin, People's Repu blic of China, by NewsRx editors, research stated, "Cross-media operating robots are versatile machines that can move and perform tasks in various environments such as air, water, and land. These robots are highly adaptable and flexible, ma king them useful in a wide range of applications, including exploration, marine research, environmental monitoring, military reconnaissance, industrial and infr astructure maintenance, and emergency response. Cross-media operating robots nee d to switch corresponding movement modes in different environments, such as usin g buoys or propellers in water and wheels or legs on land."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating from New Delhi, India, by NewsRx correspondents, research stated, "Data and information, being a criti cal part of the Internet, are vital to network security. Intrusion Detection Sys tem (IDS) is required to preserve confidentiality, data integrity, and system av ailability from attacks." Our news editors obtained a quote from the research from Delhi Technological Uni versity, "IDS collects network data from various places that may contain feature s that are redundant and irrelevant, leading to an increase in processing time a nd low detection rate. This study proposes a three-phase networkbased IDS to co unter this issue. Initially, network data is captured and preprocessed. In the s econd phase, we perform feature extraction, selection, and ranking to obtain the optimal feature set. A novel Dynamic Mutual Information-based Genetic Algorithm for feature selection (DMI-GA), aiming to enhance the performance of machine le arning (ML) techniques by identifying an optimal set of features, is also propos ed in this work. Finally, well-known ML models are employed to detect intrusions within this refined set of network traffic features. Experimental results demon strate a significant improvement in detection accuracy when the ML models are tr ained and tested on an optimal set of features. It is also observed that DMI-GA combined with the Random Forest classifier, achieves the highest detection accur acy of 99.94 %, surpassing the performance of existing state-of-the- art anomaly-based network intrusion detection systems."
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 from Shandong, People's Republic of China, by New sRx journalists, research stated, "In this work, we propose a novel bio-inspired swing decoupling mechanism supporting high precision motion systems, which is c omposed of multiple co-directional input branches with a rigid swing unit and an anti-rotational guiding unit. By actively adjusting the input displacements, th e decoupling mechanism can switch between the swing and translational modes, whe re the parasitic rotations can be significantly suppressed by the anti-rotationa l guiding unit." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Shandong Province, National Na tural Science Foundation of China (NSFC). The news correspondents obtained a quote from the research from Shandong Univers ity, "With this, fully decoupled X and Y linear motions are obtained in the pres ence of co-directional input branches. A theoretical model of the decoupling mec hanism is also established to accurately describe the decoupling behavior, which is verified by finite element simulations."
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 Machine Learning. According to news reporting originating from Beijing, People's Republ ic of China, by NewsRx correspondents, research stated, "In order to improve the traditional ‘trial and error' material design method, machine learning-yield st rength and machine learning-fracture strain models are incorporated into one sys tem to predict yield strength and fracture strain in refractory high-entropy all oys (RHEAs) under compression. The ML-yield strength model and MLfracture strain model achieve excellent predictions (R2 = 0.942, RMSE=0.35) and (R2 = 0.892, RM SE=0.41) in the testing set, respectively." Financial supporters for this research include National Key Laboratory Foundatio n of Science and Technology on Materials, China under Shock and Impact, Overseas Young Talents Program, National Natural Science Foundation of China (NSFC), You th Academic Start-up Program at Beijing Institute of Technology, China, RCPT, Ch ina, National Natural Science Foundation of China (NSFC), National Key Laborator y Foundation of Science and Technology on Materials, China, National Natural Sci ence Foundation of China (NSFC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on neural computation is n ow available. According to news originating from the School of Computer Science by NewsRx correspondents, research stated, "Even as machine learning exceeds hum an-level performance on many applications, the generality, robustness, and rapid ity of the brain's learning capabilities remain unmatched. How cognition arises from neural activity is the central open question in neuroscience, inextricable from the study of intelligence itself."
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 College Park, Maryland, by News Rx editors, the research stated, "The alkali-silica reaction (ASR) is a major co ntributor to the aging and degradation of infrastructure. Understanding ASR-indu ced expansion in concrete structures and accurately predicting its future progre ssion are critical components of effective risk assessment frameworks." The news correspondents obtained a quote from the research from the University o f Maryland, "This paper presents a study focused developing and interpreting an advanced machine learning model specifically designed to predict expansion. The model strategically integrates two powerful algorithms to achieve this goal. A c omprehensive database comprising 2000 samples of ASR expansion data with various attributes was used to train model. The first algorithm, eXtreme Gradient Boost ing (XGBoost), was employed to establish a predictive model for ASR expansion, a chieving approximately 90% validation accuracy. The second algorit hm, SHapley Additive exPlanations (SHAP), was applied to assess the relative imp ortance of the factors influencing XGBoost model's predictions. This approach pr ovided valuable physical and quantitative insights into input-output relationshi ps, which are often obscured in conventional machine learning methods. The study revealed that higher silica content, elevated alkali levels, and longer reactio n times are strongly correlated increased ASR expansion. In contrast, larger agg regate sizes and higher water-to-cement ratios were associated with reduced expa nsion."
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 out of the Tengzhou Central People 's Hospital by NewsRx editors, research stated, "This study aimed to preliminari ly develop machine learning (ML) models capable of predicting the risk of device -associated infection and 30-day outcomes following invasive device procedures i n intensive care unit (ICU) patients. The study utilized data from 8574 ICU pati ents who underwent invasive procedures, sourced from the Medical Information Mar t for Intensive Care (MIMIC)-IV version 2.2 database." Funders for this research include National Institution of Hospital Administratio n's Infection Prevention And Control Research Project in Medical Institutions in 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 Robotics have been published. According to news originating from Stockholm, Sweden, by NewsRx correspondents, research stated, "Recent works have identified both risks and o pportunities afforded by robot gendering. Specifically, robot gendering risks th e propagation of harmful gender stereotypes, but may positively influence robot acceptance/impact, and/or actually offer a vehicle with which to educate about a nd challenge traditional gender stereotypes." Financial supporters for this research include Spanish Government, Swedish Resea rch Council, Swedish Foundation for Humanities & Social Sciences, NordForsk, Digital Futures research Center, Vinnova, Knut & Alice Wallenberg Foundation, Swedish Research Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on artificial intelligence have been published. According to news reporting originating from Sao Paulo, Bra zil, by NewsRx correspondents, research stated, "Objective: to examine the conte mporary challenges faced by the survey method in the administration field, parti cularly in marketing, due to the emergence of new technologies and changes in re spondent behavior." Our news journalists obtained a quote from the research from University of Sao P aulo (USP): "Provocations: with the rise of artificial intelligence, the traditi onal survey method is increasingly being questioned. Issues such as response val idity, respondent fatigue, and proliferation of behavioral data obtained through automated means cast doubt on the survey's effectiveness in capturing actual co nsumer behavior. Additionally, new legislation may introduce restrictions that c ould impact data collection via surveys. Conclusions: although not obsolete, the survey method must reinvent itself to remain relevant. Integrating new technolo gies, such as artificial intelligence, and combining them with qualitative metho ds are suggested paths to improve research effectiveness in an environment heavi ly influenced by technological advancements."
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