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 have been pr esented. According to news reporting out of Guangzhou, People’s Republic of Chin a, by NewsRx editors, research stated, “The limitations of traditional manual hu man-machine interactive instruments (HMIs) prevent individuals with severe motor disabilities from effectively controlling wheelchair robotic arm systems, there by impacting their independence and quality of life. Addressing this issue, this study developed a wearable hybrid HMI to meet the practical needs of individual s with severe motor disabilities.” Financial support for this research came from Chinese Ministry of Science and Te chnology Project “STI 2030-Major Projects.”
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 have been pr esented. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Industrial robots are becoming increasi ngly vulnerable to cyber incidents and attacks, particularly with the dawn of th e Industrial Internet-of-Things (IIoT).” The news correspondents obtained a quote from the research from Zhejiang Univers ity: “To gain a comprehensive understanding of these cyber risks, vulnerabilitie s of industrial robots were analyzed empirically, using more than three million communication packets collected with testbeds of two ABB IRB120 robots and five other robots from various original equipment manufacturers (OEMs). This analysis , guided by the confidentiality-integrity-availability (CIA) triad, uncovers rob ot vulnerabilities in three dimensions: confidentiality, integrity, and availabi lity. These vulnerabilities were used to design Covering Robot Manipulation via Data Deception (CORMAND2), an automated cyber-physical attack against industrial robots. CORMAND2 manipulates robot operation while deceiving the Supervisory Co ntrol and Data Acquisition (SCADA) system that the robot is operating normally b y modifying the robot’s movement data and data deception. CORMAND2 and its capab ility of degrading the manufacturing was validated experimentally using the afor ementioned seven robots from six different OEMs.”
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 in Sichuan, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Many adolescents experience depression that often goes undetected and untreated. Identifying chi ldren and adolescents at a high risk of depression in a timely manner is an urge nt concern.” Funders for this research include Sichuan Provincial Center for Educational Info rmationization and Big Data, Chengdu Municipal Office of Philosophy and Social S cience, Institute of Psychology, Chinese Academy of Sciences.
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 from Ankara, Turkey, b y NewsRx journalists, research stated, “Medical practitioners are increasingly u sing artificial intelligence (AI) chatbots for easier and faster access to infor mation. To our knowledge, the accuracy and availability of AI-generated chemothe rapy protocols has not yet been studied.” The news correspondents obtained a quote from the research from Ankara Universit y, “Nine simulated cancer patient cases were designed and AI chatbots, ChatGPT v ersion 3.5 (OpenAI) and Bing (Microsoft), were used to generate chemotherapy pro tocols for each case. Generated chemotherapy protocols were compared with the or iginal protocols for nine simulated cancer patients. ChatGPT’s overall performan ce was 5 out of 9 on protocol generation, and Bing’s was 4 out of 9; this was st atistically nonsignificant (p = 1). AI chatbots show both potential and limitati ons in generating chemotherapy protocols.”
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 from Wenzhou, People’s Republic of China, by NewsRx journalists, research stated, “To use artificial intelligence (AI) technology to accurately predict vault and Implantable Collamer Lens (ICL) size. The methodology focused on enhancing predictive capabilities through the f usion of machine -learning algorithms.” Funders for this research include State Administration of Traditional Chinese Me dicine Science and Technology Department, Zhejiang Provincial Administration of Traditional Chinese Medicine Coconstruction Science and Technology Plan, Scienc e and Technology Program of Traditional Chinese Medicine in Zhejiang Province, S cience and Technology Plan Project of Wenzhou Science and Technology Bureau.
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 Translation. According to news reporting originating from Beijing, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Machine trans lation quality estimation (QE) refers to the quality assessment of machine trans lations without a given reference translation. Supervised QE models based on neu ral networks have achieved state-of-the-art results.” 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 – Research findings on Robotics are disc ussed in a new report. According to news originating from Aarhus, Denmark, by Ne wsRx correspondents, research stated, “The complexity of robot systems is rising which makes it increasingly effective to simulate before deployment. To do this , a model of the robot’s kinematics or dynamics is required, and the most common ly used format is the Unified Robot Description Format (URDF).” Financial support for this research came from Innovation Foundation Denmark.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Sendai, Japan, by NewsRx editors, the research stated, “The utilization of conversational generat ive artificial intelligence (Gen AI) in learning is often seen as a double-edged sword that may lead to superficial learning.” Our news editors obtained a quote from the research from Tohoku University: “We designed and implemented a programming course focusing on collaboration between students and Gen AI. This study explores the dynamics of such collaboration, foc using on students’ communication strategies with Gen AI, perceived benefits, and challenges encountered. Data were collected from class observations, surveys, f inal reports, dialogues between students and Gen AI, and semi-structured in-dept h interviews. The results showed that effective collaboration between students a nd Gen AI could enhance students’ meta-cognitive and self-regulated learning ski lls and positively impact human-to-human communication.”
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 Princeton, New Jersey, by NewsRx editors, research stated, “Machine learning (ML) provides a great opp ortunity for the construction of models with improved accuracy in classical mole cular dynamics (MD). However, the accuracy of a ML trained model is limited by t he quality and quantity of the training data.” Our news journalists obtained a quote from the research from Princeton Universit y, “Generating large sets of accurate ab initio training data can require signif icant computational resources. Furthermore, inconsistent or incompatible data wi th different accuracies obtained using different methods may lead to biased or u nreliable ML models that do not accurately represent the underlying physics. Rec ently, transfer learning showed its potential for avoiding these problems as wel l as for improving the accuracy efficiency, and generalization of ML models usi ng multifidelity data. In this work, ab initio trained MLbased MD (aML-MD) mode ls are developed through transfer learning using DFT and multireference data fro m multiple sources with varying accuracy within the Deep Potential MD framework. The accuracy of the force field is demonstrated by calculating rate constants f or the H + HO -> H + O reaction using quasi-classical tr ajectories. We show that the aML-MD model with transfer learning can accurately predict the rate constants while reducing the computational cost by more than fi ve times compared to the use of more expensive quantum chemistry training data s ets.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Artificial Intelligence have bee n presented. According to news reporting originating from Jharkhand, India, by N ewsRx correspondents, research stated, “To evaluate the diagnostic accuracy of a rtificial intelligence-based algorithms in identifying neck of femur fracture on a plain radiograph. Systematic review and meta-analysis.” Our news editors obtained a quote from the research from the All India Institute of Medical Sciences (AIIMS), “PubMed, Web of science, Scopus, IEEE, and the Sci ence direct databases were searched from inception to 30 July 2023. Eligibility criteria for study selection Eligible article types were descriptive, analytical , or trial studies published in the English language providing data on the utili ty of artificial intelligence (AI) based algorithms in the detection of the neck of the femur (NOF) fracture on plain X-ray. The prespecified primary outcome wa s to calculate the sensitivity, specificity, accuracy, Youden index, and positiv e and negative likelihood ratios. Two teams of reviewers (each consisting of two members) extracted the data from available information in each study. The risk of bias was assessed using a mix of the CL(the Checklist for AI in Medical Imagi ng) and QUADAS-2 (A Revised Tool for the Quality Assessment of Diagnostic Accura cy Studies) criteria. Of the 437 articles retrieved, five were eligible for incl usion, and the pooled sensitivity of AIs in diagnosing the fracture NOF was 85% , with a specificity of 87%. For all studies, the pooled Youden ind ex (YI) was 0.73. The average positive likelihood ratio (PLR) was 19.88, whereas the negative likelihood ratio (NLR) was 0.17. The random effects model showed a n overall odds of 1.16 (0.84-1.61) in the forest plot, comparing the AI system w ith those of human diagnosis. The overall heterogeneity of the studies was margi nal (I-2 = 51%). The CLcriteria for risk of bias assessment had an overall >70% score.”
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