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    University of the Aegean Reports Findings in Machine Learning (Photonic neuromor phic accelerators for event-based imaging flow cytometry)

    67-68页
    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 the subject of a report. According to news reporting out of Samos, Greece, by News Rx editors, research stated, “In this work, we present experimental results of a high-speed label-free imaging cytometry system that seamlessly merges the high- capturing rate and data sparsity of an event-based CMOS camera with lightweight photonic neuromorphic processing. This combination offers high classification ac curacy and a massive reduction in the number of trainable parameters of the digital machine-learning back-end.”

    Data on Artificial Intelligence Reported by Wei Wei and Colleagues (Artificial i ntelligence applied to development of predictive stability model for intracrania laneurysms)

    68-69页
    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 originating from Dalia n, People’s Republic of China, by NewsRx correspondents, research stated, “We ai med to develop multiple machine learning models to predict the risk of early int racranial aneurysms (IAs) rupture, evaluate and compare the performance of predi ctive models. Information related to patients diagnosed with IA by CT angiograph y and clinicians in Central hospital of Dalian University of Technology from Jan uary 2010 to June 2022 was collected, including clinical characteristics, blood indicators and IA morphological parameters.”

    Research from Xi’an Technological University Has Provided New Data on Machine

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Xi’an, People’ s Republic of China, by NewsRx editors, research stated, “After the occurrence of various types of disasters, including natural disasters and man-made damage, a id workers need accurate and timely data, such as the damage status of buildings, in order to take effective measures for rescue.”

    Researchers from Northwestern Polytechnic University Discuss Findings in Machine Learning [Machine Learning-aided Design of Lace(Fe,mn,si)13h -type Magnetocaloric Materials for Roomtemperature Applications]

    70-71页
    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 Learning have been published. According to news originating from Xi’an, People’s Repu blic of China, by NewsRx correspondents, research stated, “La(Fe,Si)13 magnetoca loric materials have attracted extensive attention in recent years due to their excellent magnetocaloric properties and low price. In this study, we established and compared several machine models and used a support vector machine for predicting the influences of different element contents on the Curie temperature.”

    Findings in the Area of Artificial Intelligence Reported from Leibniz Institute for Wissensmedien Knowledge Media Research Center (The More Competent, the Bette r? the Effects of Perceived Competencies On Disclosure Towards Conversational .. .)

    71-72页
    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 in Tubin gen, Germany, by NewsRx journalists, research stated, “Conversational AI (e.g., Google Assistant or Amazon Alexa) is present in many people’s everyday life and, at the same time, becomes more and more capable of solving more complex tasks. However, it is unclear how the growing capabilities of conversational AI affect people’s disclosure towards the system as previous research has revealed mixed effects of technology competence.”

    Studies from Griffith University in the Area of Machine Learning Published (Auto mated detection of deformation mechanisms in reentrant honeycomb auxetics using machine learning)

    72-72页
    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 from Southport, Australia, by News Rx journalists, research stated, “The intricate geometrical configuration of an auxetic structure enables high energy dissipation capacity at the expense of a h ighly nonlinear mechanical response.”

    New Machine Learning Findings from Chongqing University Published (Proposing Opt imized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from Chongqing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “This paper explores advanced machine learning approaches to enhance the prediction accuracy of compressive strength (CoS) in geopolymer composites (GePC).”

    Soochow University Reports Findings in Aortic Dissection (Machine Learning Model for Predicting Risk Factors of Prolonged Length of Hospital Stay in Patients wi th Aortic Dissection: a Retrospective Clinical Study)

    74-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions - Aortic Dissection is the subject of a report. According to ne ws reporting originating in Suzhou, People’s Republic of China, by NewsRx journa lists, research stated, “The length of hospital stay (LOS) is crucial for assess ing medical service quality. This study aimed to develop machine learning models for predicting risk factors of prolonged LOS in patients with aortic dissection (AD).”

    Wenzhou Medical University Reports Findings in Machine Learning (Machine learning derived model for the prediction of bleeding in dual antiplatelet therapy patients)

    75-75页
    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 the subject of a report. According to news originating from Zhejiang, People’s Rep ublic of China, by NewsRx correspondents, research stated, “This study aimed to develop a predictive model for assessing bleeding risk in dual antiplatelet ther apy (DAPT) patients. A total of 18,408 DAPT patients were included.”

    Data on Machine Learning Reported by Ilya G. Ryabinkin and Colleagues (Thawed Ga ussian Wavepacket Dynamics with D-Machine-Learned Potentials)

    76-76页
    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 the subject of a report. According to news reporting originating from Mississauga, Canada, by NewsRx correspondents, research stated, “A method for performing var iable-width (thawed) Gaussian wavepacket (GWP) variational dynamics on machinel earned potentials is presented. Instead of fitting the potential energy surface (PES), the anharmonic correction to the global harmonic approximation (GHA) is fitted using kernel ridge regression this is a D-machine learning approach.”