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 sy mmetric cryptology. According to news originating from Shanghai, People’s Republ ic of China, by NewsRx editors, the research stated, “The impossible boomerang ( IB) attack was first introduced by Lu in his doctoral thesis and subsequently pu blished at DCC in 2011. The IB attack is a variant of the impossible differentia l (ID) attack by incorporating the idea of the boomerang attack.”
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 Bydgoszcz, Poland, by NewsRx editors, the research stated, “ChatGPT is an advanced chatbot based on La rge Language Model that has the ability to answer questions. Undoubtedly, ChatGP T is capable of transforming communication, education, and customer support; how ever, can it play the role of a doctor? In Poland, prior to obtaining a medical diploma, candidates must successfully pass the Medical Final Examination.”
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 from Charlottesville, Virgini a, by NewsRx journalists, research stated, “Leveraging free smartphone apps can help expand the availability and use of evidence-based smoking cessation interve ntions. However, there is a need for additional research investigating how the u se of different features within such apps impacts their effectiveness.” The news correspondents obtained a quote from the research from the University o f Virginia School of Medicine, “We used observational data collected from an exp eriment of a publicly available smoking cessation app to develop supervised mach ine learning (SML) algorithms intended to distinguish the app features that prom ote successful smoking cessation. We then assessed the extent to which patterns of app feature use accounted for variance in cessation that could not be explain ed by other known predictors of cessation (eg, tobacco use behaviors). Data came from an experiment (ClinicalTrials.gov NCT04623736) testing the impacts of ince ntivizing ecological momentary assessments within the National Cancer Institute’ s quitSTART app. Participants’ (N=133) app activity, including every action they took within the app and its corresponding time stamp, was recorded. Demographic and baseline tobacco use characteristics were measured at the start of the expe riment, and short-term smoking cessation (7-day point prevalence abstinence) was measured at 4 weeks after baseline. Logistic regression SML modeling was used t o estimate participants’ probability of cessation from 28 variables reflecting p articipants’ use of different app features, assigned experimental conditions, an d phone type (iPhone [Apple Inc] or Androi d [Google]). The SML model was first fit i n a training set (n=100) and then its accuracy was assessed in a held-aside test set (n=33). Within the test set, a likelihood ratio test (n=30) assessed whethe r adding individuals’ SMLpredicted probabilities of cessation to a logistic reg ression model that included demographic and tobacco use (eg, polyuse) variables explained additional variance in 4-week cessation. The SML model’s sensitivity ( 0.67) and specificity (0.67) in the held-aside test set indicated that individua ls’ patterns of using different app features predicted cessation with reasonable accuracy. The likelihood ratio test showed that the logistic regression, which included the SML model-predicted probabilities, was statistically equivalent to the model that only included the demographic and tobacco use variables (P=.16). Harnessing user data through SML could help determine the features of smoking ce ssation apps that are most useful.”
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 Brno, Czech Re public, by NewsRx journalists, research stated, “Knotted proteins, although scar ce, are crucial structural components of certain protein families, and their rol es continue to be a topic of intense research. Capitalizing on the vast collecti on of protein structure predictions offered by AlphaFold (AF), this study comput ationally examines the entire UniProt database to create a robust dataset of kno tted and unknotted proteins.” Funders for this research include Narodowe Centrum Nauki, Grantova Agentura Cesk e Republiky.
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 reporting originating from Kig ali, Rwanda, by NewsRx correspondents, research stated, “ABSTRACT: This study in vestigated non-revenue water (NRW) dynamics in Rwanda from 1 July 2014, to 30 Ju ne 2023, utilizing panel data and cross-sectional datasets. It aimed to assess p rogress towards achieving the government’s target of 25% NRW.” Financial supporters for this research include University of Rwanda.
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 - Robotics and Automation. According to news reporting out of Shanghai, People ’s Republic of China, by NewsRx editors, research stated, “This letter addresses the challenge of optimal motion interpolation in multi-agent formation control. The primary goal is to generate trajectories of similarity transformations that minimize various metrics, such as distance traveled, kinetic energy consumption , and overall smoothness.” 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 – Investigators discuss new findings in Robotics. According to news originating from Beijing, People’s Republic of China , by NewsRx correspondents, research stated, “PurposeThe purpose of this study i s realizing human-like motions and performance through musculoskeletal robots an d brain-inspired controllers. Human-inspired robotic systems, owing to their pot ential advantages in terms of flexibility, robustness and generality, a deep forward neural network (DFNN) controller was proposed inspir ed by the neural mechanisms of equilibrium-point hypothesis (EPH) and musculoske letal dynamics.FindingsFirst, the neural mechanism of EPH in human was analyzed, providing the basis for the control scheme of the proposed method.” Financial supporters for this research include Major Project of Science and Tech nology Innovation, National Natural Science 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 – Researchers detail new data in Machine Learning. According to news reporting from Chennai, India, by NewsRx journalist s, research stated, “Multilevel inverters appear to be a potential substitute fo r traditional inverters in medium-power applications. Real-time applications now heavily rely on modern power converters from renewable energy sources.” The news correspondents obtained a quote from the research from the SRM Institut e of Science and Technology, “This study examines the factors that affect the fa ilure rate of power semiconductor devices, including temperature and current rat ing. The bathtub curve determines the lifespan of the gadget. This article makes a thirteen-level asymmetric multilevel inverter by using fewer switches and has undergone a thorough analysis to determine switching loss, conduction loss, and failure rate in terms of reliability. This study investigates the prediction of defects in switches within a 13-level multilevel inverter using four machine le arning models. Our investigation demonstrates that the Support Vector Machine (S VM) model surpasses other models with a remarkable accuracy rate of 96.56% . The abstract outlines the creation of a confusion matrix specifically for Supp ort Vector Machines (SVM), providing a comprehensive analysis of key parameters including Accuracy, Precision, Recall, and F1 score.”
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 reporting from Hangzhou, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Glycans possess complex and unique stereochemical features, endowing them with distinguishing fu nctions. An urgent need to develop a glycan sequencing method to elucidate the d etermine stereo diversity of glycan precisely.” Funders for this research include National Key Research and Development program of China, Scientific Research and Development project of Zhejiang University, In dependent Pre-Research Project of Yangtze River Delta Smart Oasis Innovation Cen ter of Zhejiang University.
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 Hefei, People’s Republ ic of China, by NewsRx editors, research stated, “Appropriate mixed carbon sourc es have great potential to enhance denitrification efficiency and reduce operati onal costs in municipal wastewater treatment plants (WWTPs). However, traditiona l methods struggle to efficiently select the optimal mixture due to the variety of compositions.”
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