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    New Intelligent Systems Data Have Been Reported by Investigators at Technical Un iversity of Munich (TUM) (Relicada: Reservoir Computing Using Linear Cellular Au tomata Design Algorithm)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning - Intel ligent Systems have been published. According to news reporting from Munich, Ger many, by NewsRx journalists, research stated, “In this paper, we present a novel algorithm to optimize the design of Reservoir Computing using Cellular Automata models for time series applications. Besides selecting the models’ hyperparamet ers, the proposed algorithm particularly solves the open problem of Linear Cellu lar Automaton rule selection.” Financial support for this research came from Bayerische Staatsministerium fr Wi rtschaft, Landesentwicklung und Energie.

    Xi'an Jiaotong-Liverpool University Reports Findings in Cerebral Hemorrhage (Pre diction of hematoma expansion in intracerebral hemorrhage in 24 hours by machine learning algorithm)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Central Nervous System Diseases a nd Conditions - Cerebral Hemorrhage is the subject of a report. According to new s reporting originating from Jiangsu, People’s Republic of China, by NewsRx corr espondents, research stated, “The significance of non-contrast computer tomograp hy (CT) image markers in predicting hematoma expansion (HE) following intracereb ral hemorrhage (ICH) within different time intervals in the initial 24 hours aft er onset may be uncertain. Hence, our objective was to examine the predictive va lue of clinical factors and CT image markers for HE within the initial 24 hours using machine learning algorithms.”

    University of Southern Denmark Reports Findings in Robotics (Developing a phanto m for simulating robotic-assisted complete mesocolic excision using 3D printing and medical imaging)

    49-50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 Robotics is the subjec t of a report. According to news originating from Kolding, Denmark, by NewsRx co rrespondents, research stated, “Robotic-assisted complete mesocolic excision is an advanced procedure mainly because of the great variability in anatomy. Phanto ms can be used for simulation-based training and assessment of competency when l earning new surgical procedures.” Financial support for this research came from University of Southern Denmark.

    Investigators at Beijing Institute of Technology Detail Findings in Machine Lear ning (A Preliminary Discussion About the Application of Machine Learning In the Field of Constitutive Modeling Focusing On Alloys)

    50-51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 have been published. According to news reporting originating in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “With an emphas is on the development of machine learning-based constitutive modeling approaches , the state of constitutive modeling techniques and applications for metals and alloys was examined. This study explored three distinct methods of constitutive modeling: phenomenological constitutive models, physical-based constitutive mode ls, and machine learning-based constitutive models.”

    Findings from Erasmus University Yields New Data on Artificial Intelligence (Rag e Against the Artificial Intelligence? Understanding Contextuality of Algorithm Aversion and Appreciation)

    51-52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 originating from Rotterdam, Netherlands, by News Rx correspondents, research stated, “People tend to be hesitant toward algorithm ic tools, and this aversion potentially affects how innovations in artificial in telligence (AI) are effectively implemented. Explanatory mechanisms for aversion are based on individual or structural issues but often lack reflection on real- world contexts.”

    Studies from Technical University of Denmark (DTU) Yield New Data on Machine Lea rning (Reconstructing the Transcriptional Regulatory Network of Probioticl. Reu teri Is Enabled By Transcriptomics and Machine Learning)

    52-53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 have been published. According to news reporting originating from Copenhagen , Denmark, by NewsRx correspondents, research stated, “Limosilactobacillus reute ri, a probiotic microbe instrumental to human health and sustainable food produc tion, adapts to diverse environmental shifts via dynamic gene expression. We app lied the independent component analysis (ICA) to 117 RNA-seq data sets to decode its transcriptional regulatory network (TRN), identifying 35 distinct signals t hat modulate specific gene sets.”

    Studies from Carnegie Mellon University Add New Findings in the Area of Artifici al Intelligence (Autonomous Chemical Research With Large Language Models)

    53-54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 from Pit tsburgh, Pennsylvania, by NewsRx correspondents, research stated, “Transformer-b ased large language models are making significant strides in various fields, suc h as natural language processing1-5, biology6,7, chemistry8-10 and computer prog ramming11,12. Here, we show the development and capabilities of Coscientist, an artificial intelligence system driven by GPT-4 that autonomously designs, plans and performs complex experiments by incorporating large language models empowere d by tools such as internet and documentation search, code execution and experim ental automation.”

    Edith Cowan University Researchers Release New Study Findings on Machine Learnin g (MHAiR: A Dataset of Audio-Image Representations for Multimodal Human Actions)

    54-54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 originating from Perth, Austral ia, by NewsRx correspondents, research stated, “Audio-image representations for a multimodal human action (MHAiR) dataset contains six different image represent ations of the audio signals that capture the temporal dynamics of the actions in a very compact and informative way.” Funders for this research include Edith Cowan University (Ecu), Australia And Hi gher Education Commission (Hec), Pakistan.

    Researchers from University of Stuttgart Detail New Studies and Findings in the Area of Machine Learning (Scientific Deep Machine Learning Concepts for the Pred iction of Concentration Profiles and Chemical Reaction Kinetics: Consideration of ...)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Stuttgart, Germany, by NewsRx cor respondents, research stated, “Emerging concepts from scientific deep machine le arning such as physics-informed neural networks (PINNs) enable a data-driven app roach for the study of complex kinetic problems. We present an extended framewor k that combines the advantages of PINNs with the detailed consideration of exper imental parameter variations for the simulation and prediction of chemical react ion kinetics.”

    First Affiliated Hospital of Chongqing Medical University Reports Findings in Ga strointestinal Stromal Tumors (Advanced gastrointestinal stromal tumor: reliable classification of imatinib plasma trough concentration via machine learning)

    56-57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 Digestive System Disea ses and Conditions - Gastrointestinal Stromal Tumors is the subject of a report. According to news originating from Chongqing, People’s Republic of China, by Ne wsRx correspondents, research stated, “Patients with advanced gastrointestinal s tromal tumors (GISTs) exhibiting an imatinib plasma trough concentration (IM C) under 1100 ng/ml may show a reduced drug response rate, leading to the suggestio n of monitoring for IM C. Consequently, the objective of this research was to cr eate a customized IM C classification model for patients with advanced GISTs fro m China.”