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 technology. According to news reporting originating from Assam, India, by NewsRx correspondents, research stated, “The classification of musical instruments by using a computational technique is a very challenging task.” The news correspondents obtained a quote from the research from Dibrugarh Univer sity: “The developments in signal-processing and data-mining techniques have mad e it feasible to analyse the many musical signal characteristics, which is essen tial for resolving the classification issues in music. In this work, 12 popular Assamese folk music instruments were selected for identification. Twelve musicia ns played the instruments and audio samples were recorded, different instantaneo us features were extracted, and an effort has been made to identify those instru ments using three popular classification techniques - Decision Tree Classifier ( DTC), Support Vector Machine (SVM), and Linear Discriminant Analysis (LDA). A pe rformance-based comparison was made among the three classifiers. The proposed se ts of features enabled the DTC, SVM and LDA models to achieve average accuracy r atings of 86.9%, 90% and 92.2% respecti vely.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Nanotechnol ogy - Nanofluids. According to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Using nanofluids to capture CO2 is a promising method of reducing emissions. The goal of this study was to develop models that could forecast how well water-based nanofluids would absorb CO2.” Funders for this research include National Natural Science Foundation of China ( NSFC), Scientific and technological Research Program of Chongqing Municipal Educ ation Commission, Project of Research Innovation Team of Chongqing City Manageme nt College.
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 artificial intelligence is now available. According to news originating from the CSIRO Data61 by NewsRx editors, the research stated, “Generative machine learning is poised to revolut ionise a range of domains where rational design has long been the de facto appro ach: where design is practically a time consuming and frustrating process guided by heuristics and intuition.” Financial supporters for this research include Commonwealth Scientific And Indus trial Research Organisation.
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 originating in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “Recently, in the field of fair machine learning, a large number of studies have considered how to remo ve discriminatory information from the data and achieve fairness in downstream t asks. Fair representation learning considers removing sensitive information (e.g . race, gender, etc) in the latent space, and the learned representations can pr event machine learning systems from being biased by discriminatory information.” Funders for this research include National Natural Science Foundation of China ( NSFC), Shanghai Municipal Project, Shanghai Knowledge Service Platform Project, Science & Technology Commission of Shanghai Municipality (STCSM), Open Research Fund of KLATASDS-MOE, Fundamental Research Funds for the Central U niversities.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news originating from Selangor, Malaysia, by NewsRx correspondents, research stated, “Tires serve as the critical interface between a vehicle and the road.” Funders for this research include Ministry of Higher Education, Malaysia; Univer siti Kebangsaan Malaysia.
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 robotics. According to news originating from Bucharest, Romania, by NewsRx corre spondents, research stated, “The goal of this study is to address the challenges associated with identifying and planning a mobile land robot’s path to optimize its speed in a stationary environment.” The news correspondents obtained a quote from the research from Center for Excel lence: “Our focus was on devising routes that navigate around obstacles in vario us spatial arrangements. To achieve this, we employed MATLAB R2023b for trajecto ry simulation and optimization. On-board data processing was conducted, while ob stacle detection relied on the omnidirectional video processing system integrate d into the robot. Odometry was facilitated by engine encoders and optical flow s ensors. Additionally, an external video system was utilized to verify the experi mental data pertaining to the robot’s movement. Last but not least, the algorith ms and hardware equipment used enabled the robot to go along the path at greater speeds.”
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 from Dublin, Ireland, by Ne wsRx journalists, research stated, “Significant advances in machine -learning ba sed reliability analysis occurred recently. These allowed it to be performed wit h high effectiveness.” The news correspondents obtained a quote from the research from University Colle ge Dublin, “However, in most applications the problem of reliability is treated within a closed setup, and if a change in the problem is needed a posteriori , t he reliability needs to be re -assessed, which often results in an inefficient u sage of resources. In this context, the present work argues that established rel iability knowledge can inform the assessment of a similar problem under paramete r changes. It uses incremental learning in an augmented space to solve a reliabi lity analysis with dependence on parameter variations. It is shown that only the points that swap their classification are of interest to reassess reliability, which has large synergy with machine learning and classification. A learning app roach that uses this synergy is proposed to search for the points that are under a class change. It is tested in four examples and uses adaptive kriging. The re sults show that with only few additional evaluations of the true function it is possible to accurately (at <1% loss in accura cy) assess the reliability for a relatively complex problem experiencing changes in its parameters.”
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 reporting out of Cologne, German y, by NewsRx editors, research stated, “Laboratory medical reports are often not intuitively comprehensible to non-medical professionals. Given their recent adv ancements, easier accessibility and remarkable performance on medical licensing exams, patients are therefore likely to turn to artificial intelligence-based ch atbots to understand their laboratory results.” Our news journalists obtained a quote from the research from the Faculty of Medi cine and University Hospital, “However, empirical studies assessing the efficacy of these chatbots in responding to real-life patient queries regarding laborato ry medicine are scarce. Thus, this investigation included 100 patient inquiries from an online health forum, specifically addressing Complete Blood Count interp retation. The aim was to evaluate the proficiency of three artificial intelligen ce-based chatbots (ChatGPT, Gemini and Le Chat) against the online responses fro m certified physicians. The findings revealed that the chatbots’ interpretations of laboratory results were inferior to those from online medical professionals. While the chatbots exhibited a higher degree of empathetic communication, they frequently produced erroneous or overly generalized responses to complex patient questions. The appropriateness of chatbot responses ranged from 51 to 64 % , with 22 to 33 % of responses overestimating patient conditions. A notable positive aspect was the chatbots’ consistent inclusion of disclaimers regarding its non-medical nature and recommendations to seek professional medica l advice. The chatbots’ interpretations of laboratory results from real patient queries highlight a dangerous dichotomy - a perceived trustworthiness potentiall y obscuring factual inaccuracies.”
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 originating from Washington Un iversity by NewsRx correspondents, research stated, “Machine learning algorithms are increasingly being utilized to identify brain connectivity biomarkers linke d to behavioral and clinical outcomes.” Financial supporters for this research include National Institute of Biomedical Imaging And Bioengineering. The news journalists obtained a quote from the research from Washington Universi ty: “However, research often prioritizes prediction accuracy at the expense of b iological interpretability and inconsistent implementation of ML methods may hin der model accuracy. To address this, our paper introduces a network-level enrich ment approach, which integrates brain system organization in the context of conn ectome-wide statistical analysis to reveal network-level links between brain con nectivity and behavior. To demonstrate the efficacy of this approach, we used li near support vector regression (LSVR) models to examine the relationship between resting-state functional connectivity networks and chronological age. We compar ed network-level associations based on raw LSVR weights to those produced from t he forward and inverse models.”
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 originating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “China’s northern Hulu n Lake is a significant body of water internationally. The issue of eutrophicati on has gained prominence in recent years.” Funders for this research include National Science Fund For Distinguished Young Scholars; Key Program of National Natural Science Foundation of China; Natural S cience Foundation Youth Program of China; Fundamental Research Funds For The Cen tral Universities.
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