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    Data on Machine Learning Reported by Claire Morgand and Colleagues (Validation o f a Natural Language Processing Algorithm using National Reporting Data to Impro ve Identification of Anesthesia-related ADVerse evENTs: The 'ADVENTURE' Study)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting out of Saint-Denis, France, by NewsRx ed itors, research stated, “Reporting and analysis of adverse events (AE) is associ ated with improved healthcare learning, quality outcomes, and patient safety. Ma nual text analysis is time-consuming, costly, and prone to human errors.”

    Researcher from Massachusetts Institute of Technology Reports Recent Findings in Machine Learning (Machine learning to predict notes for chart review in the onc ology setting: a proof of concept strategy for improving clinician note-writing)

    59-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Cambrid ge, Massachusetts, by NewsRx correspondents, research stated, “Leverage electron ic health record (EHR) audit logs to develop a machine learning (ML) model that predicts which notes a clinician wants to review when seeing oncology patients.”

    Findings from University of Notre Dame Provides New Data on Robotics (A Numerica l Continuation Approach Using Monodromy To Solve the Forward Kinematics of Cable -driven Parallel Robots With Sagging Cables)

    60-60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 Robotic s. According to news reporting out of Notre Dame, Indiana, by NewsRx editors, re search stated, “Designing and analyzing large cable -driven parallel robots (CDP Rs) for precision tasks can be challenging, as the position kinematics are gover ned by kinetostatics and cable sag equations. Our aim is to find all equilibria for a given set of unstrained cable lengths using numerical continuation techni ques.”

    Findings from Harokopio University of Athens Provides New Data on Artificial Int elligence (Industry 5.0: Research Areas and Challenges With Artificial Intellige nce and Human Acceptance)

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intell igence are discussed in a new report. According to news reporting originating fr om Athens, Greece, by NewsRx correspondents, research stated, “The industrial la ndscape is swiftly progressing toward Industry 5.0, marking the fifth revolution characterized by the integration of sustainable practices and digital sovereign ty. This article advocates for the adoption, expansion, and implementation of ar tificial intelligence (AI)-enabled hardware, tools, methods, and semiconductor t echnologies in the journey toward Industry 5.0.”

    Researchers from University of Zilina Report on Findings in Artificial Intellige nce (Digital Twin Simulation Modeling, Artificial Intelligence-based Internet of Manufacturing Things Systems, and Virtual Machine and Cognitive Computing ...)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Artificial Intelligence are present ed in a new report. According to news reporting originating in Zilina, Slovakia, by NewsRx journalists, research stated, “Research background: On the basis of a n analysis of the current situation and expectations in the field of implementat ion of the elements of the Industry 4.0 concept, the purpose of this paper is to identify the effects on the labor market in large manufacturing enterprises in the Slovak Republic. Purpose of the article: The presented work has a theoretica l -empirical nature and consists of a theoretical section and a practical sectio n, which includes statistical indicator analysis and quantitative research.”

    Data on Robotics Discussed by Researchers at University of Michigan (Advances In the Theory of Control Barrier Functions: Addressing Practical Challenges In Saf e Control Synthesis for Autonomous and Robotic Systems)

    63-63页
    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 Ro botics. According to news reporting originating from Ann Arbor, Michigan, by New sRx correspondents, research stated, “This tutorial paper presents recent work o f the authors that extends the theory of Control Barrier Functions (CBFs) to add ress practical challenges in the synthesis of safe controllers for autonomous sy stems and robots. We present novel CBFs and methods that handle safety constrain ts (i) with time and input constraints under disturbances, (ii) with high-relati ve degree under disturbances and input constraints, and (iii) that are affected by adversarial inputs and sampled-data effects.”

    University of Catania Reports Findings in Artificial Intelligence (Automatic Cep halometric Landmark Identification With Artificial Intelligence: an Umbrella Rev iew of Systematic Reviews)

    64-64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 from Catania, Italy, b y NewsRx journalists, research stated, “The transition from manual to automatic cephalometric landmark identification has not yet reached a consensus for clinic al application in orthodontic diagnosis. The present umbrella review aimed to as sess artificial intelligence (AI) performance in automatic 2D and 3D cephalometr ic landmark identification.”

    Investigators from University of Trento Have Reported New Data on Machine Learni ng (Physically Based Machine Learning for Hierarchical Materials)

    65-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Trento, Italy, by NewsRx edi tors, research stated, “In multiscale phenomena, complex structure -function rel ationships emerge across different scales, making predictive modeling challengin g. The recent scientific literature is exploring the possibility of leveraging m achine learning, with a predominant focus on neural networks, excelling in data fitting, but often lacking insight into essential physical information.”

    New Computational Intelligence Findings from Chongqing University of Posts and T elecommunications Described (Gbg Plus Plus : a Fast and Stable Granular Ball Gen eration Method for Classification)

    66-66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 Learn ing - Computational Intelligence have been published. According to news reportin g originating from Chongqing, People’s Republic of China, by NewsRx corresponden ts, research stated, “Granular ball computing (GBC), as an efficient, robust, an d scalable learning method, has become a popular research topic of granular comp uting. GBC includes two stages: granular ball generation (GBG) and multi-granula rity learning based on the granular ball (GB).”

    Studies from Beijing Technology and Business University Further Understanding of Machine Learning (Characterizing Edible Oils by Oblique-Incidence Reflectivity Difference Combined with Machine Learning Algorithms)

    67-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Due to the significa nt price differences among different types of edible oils, expensive oils like o live oil are often blended with cheaper edible oils.”