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    Institut de Cancerologie Strasbourg Europe Reports Findings in Artificial Intelligence (Artificial intelligence and radiotherapy: Evolution or revolution?)

    40-40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 Intelligence is the subject of a report. According to news reporting from Strasbourg, Franc e, by NewsRx journalists, research stated, “The integration of artificial intell igence, particularly deep learning algorithms, into radiotherapy represents a tr ansformative shift in the field, enhancing accuracy, efficiency, and personalize d care. This paper explores the multifaceted impact of artificial intelligence onradiotherapy, the evolution of the roles of radiation oncologists and medical physicists, and the associated practical challenges.”

    Data on Machine Learning Described by Researchers at Michigan State University ( Machine Learning-based Prediction of New Pareto-optimal Solutions From Pseudo-weights)

    41-41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 Machine Learning. According to news originating from East Lansing, Michigan, by NewsRx correspondents, research stated, “Owing to the stochasticity of evolutionary mul tiobjective optimization (EMO) algorithms and an application with a limited budg et of solution evaluations, a perfectly converged and uniformly distributed Pare to-optimal (PO) front cannot be always guaranteed. Thus, a subsequent decision-m aking (DM) step or a curiosity on the part of the optimization researcher may de mand solutions at regions not well-represented by the obtained PO front.”

    Studies from Beihang University Provide New Data on Robotics (Self-reconfigurable Hierarchical Frameworks for Formation Control of Robot Swarms)

    42-42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 Robotics have been published. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Hierarchical fram eworks-a special class of directed frameworks with a layer-by-layer architecture -can be an effective mechanism to coordinate robot swarms. Their effectiveness w as recently demonstrated by the mergeable nervous systems paradigm (Mathews et a l., 2017), in which a robot swarm can switch dynamically between distributed and centralized control depending on the task, using self-organized hierarchical fr ameworks.”

    Data on Robotics Described by a Researcher at University of Science and Technology of China (Real-time reactive task allocation and planning of large heterogene ous multi-robot systems with temporal logic specifications)

    43-43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 robotics. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Existing methods for the task all ocation and planning (TAP) of multi-robot systems with temporal logic specificat ions mainly rely on optimization-based approaches or graph search techniques app lied to the product automaton.”

    Southwest University Researchers Add New Findings in the Area of Artificial Intelligence (Exploring the Influence of Artificial Intelligence Usage on Ethical De cision Making Among Public Sector Employees: Insights into Moral Identity and .. .)

    44-44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 ar tificial intelligence. According to news reporting from Chongqing, People’s Repu blic of China, by NewsRx journalists, research stated, “This study constructs a moderating mediation model to link public sector employees’ Artificial Intelligence (AI) usage with employees’ moral norms and ethical decision-making behaviors .”

    New Machine Learning Data Have Been Reported by Researchers at Beijing Jiaotong University (Machine Learning-enabled Discovery of Multi-resonance Tadf Molecules : Unraveling Plqy Predictions From Molecular Structures)

    45-45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 in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Unlocking the po tential of multi-resonance thermally activated delayed fluorescence (MR-TADF) mo lecules for advanced organic light-emitting diode applications requires an insig htful understanding of the relationship between molecular structures and photolu minescence quantum yield (PLQY). Utilizing molecular descriptors as inputs for m achine learning (ML) algorithms, further illuminated by SHapley Additive exPlana tions (SHAP) to interpret the ML model outcomes, this method effectively connect s molecular structures to PLQY, providing targeted guidance for molecular design .”

    New Machine Learning Findings Reported from Chinese Academy of Sciences (Enhanci ng Her Catalyst Screening of Modified Mxenes Through Dft and Machine Learning In tegration)

    46-46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 from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “MXenes doped with nonmetallic and transition metal elements exhibit remarkable potential as catalysts in the hy drogen energy. Nonetheless, efficiently identifying viable materials from a vast array of candidates remains a formidable challenge.”

    Department of Stereotactic and Functional Neurosurgery Reports Findings in Pares thesia (Predictive modeling of sensory responses in deep brain stimulation)

    47-47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 Somatosensory Diseases and Conditions - Paresthesia is the subject of a report. According to news repo rting originating from Freiburg, Germany, by NewsRx correspondents, research sta ted, “Although stimulation-induced sensations are typically considered undesirab le side effects in clinical DBS therapy, there are emerging scenarios, such as c omputer-brain interface applications, where these sensations may be intentionally created. The selection of stimulation parameters, whether to avoid or induce s ensations, is a challenging task due to the vast parameter space involved.”

    First Affiliated Hospital of Xi’an Jiaotong University Reports Findings in Prost ate Cancer (Role of [18F]-PSMA-1007 PET ra diomics for seminal vesicle invasion prediction in primary prostate cancer)

    48-48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 Oncology - Prostate Ca ncer is the subject of a report. According to news originating from Xi’an, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “The purpose of this study is to investigate the diagnostic utility of [F] -PSMA-1007 PET radiomics combined with machine learning methods to predict semin al vesicle invasion (SVI) after radical prostatectomy (RP) in prostate cancer (P Ca) patients. This is a post hoc retrospective analysis for a prospective clinic al trial that included a consecutive sample of PCa patients (n = 140) who had [F]-PSMA-1007 PET/CT prior to RP.”

    University of Exeter Reports Findings in Artificial Intelligence (A systematic s coping review exploring variation in practice in specimen mammography for Intrao perative Margin Analysis in Breast Conserving Surgery and the role of artificial ...)

    49-49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 Intelligence is the subject of a report. According to news originating from Exeter, United Kingdom, by NewsRx correspondents, research stated, “Specimen Mammography (SM) i s commonly used in Breast Conserving Surgery (BCS) for intraoperative margin ana lysis. A systematic scoping review was conducted to identify sources of methodol ogical variation in Specimen Mammography Interpretation (SMI) and assess the rol e of Artificial Intelligence (AI) techniques to optimise Diagnostic Accuracy (DA ).”