首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Research Study Findings from Arab Academy for Science Update Understanding of Support Vector Machines (Transfer Learning Models for CNN Fusion With Fisher Vector for Codebook Optimization of Foreground Features)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on support vector machines is the subject of a new report. Accordingto news reporting out of Cairo, Egypt, by NewsRx editors, research stated, “Human action recognition hasbecome one of the main topics in the computer vision field due to its high demand and competitiveness inreal-world applications. The main goals of human action recognition are to improve classification accuracyand reduce computational complexity.”

    Findings from School of Engineering and Science Yields New Data on Carbon Nanotubes (Machine Learning Based Models To Investigate the Thermoelectric Performance of Carbon Nanotubepolyaniline Nanocomposites)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnology - Carbon Nanotubes. According to newsreporting out of Nuevo Leon, Mexico, by NewsRx editors, research stated, “Thermoelectric materials havebeen widely recognized as a simple approach for harnessing green energy by converting thermal gradientsinto electrical energy. However, the intricate and conflicting interplay between electrical conductivity(sigma), Seebeck coefficient (S), and thermal conductivity (k) in known materials present a challenge forimproving their thermoelectric conversion efficiency.”

    Saarland University Medical Center Reports Findings in Personalized Medicine (Machine Learning-assisted immunophenotyping of peripheral blood identifies innate immune cells as best predictor of response to induction chemo-immunotherapy in head …)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news originating from Homburg, Germany, by NewsRx correspondents, research stated,“Individual prediction of treatment response is crucial for personalized treatment in multimodal approachesagainst head-and-neck squamous cell carcinoma (HNSCC). So far, no reliable predictive parameters fortreatment schemes containing immunotherapy have been identified.”

    Research from Montreal Broadens Understanding of Robotics (Adaptive-Robust Controller for Smart Exoskeleton Robot)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in robotics. According to news reporting out of Montreal,Canada, by NewsRx editors, research stated, “Rehabilitation robotics has seen growing popularity in recentyears due to its immense potential for improving the lives of people with disabilities.”

    Marmara University Researchers Advance Knowledge in Artificial Intelligence (Enhancing IoT Products through Integrated AI Capabilities: Enabling Seamless AIoT Implementation)

    24-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligence is the subject of a new report. According to newsreporting from Marmara University by NewsRx journalists, research stated, “In the contemporary landscapeof Internet of Things (IoT) products, mere incorporation of IoT functionalities falls short of meeting theevolving consumer expectations.”

    Investigators at University of Alicante Describe Findings in Artificial Intelligence (Emotional Analysis of the Columnas.humor Corpus: a Mixed Approach)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Artificial Intelligence are presented in a new report. According tonews originating from Alicante, Spain, by NewsRx editors, the research stated, “The study of emotionsand polarity in language has been the focus of increased attention over recent years due to its relevancein areas such as artificial intelligence and the analysis of sentiment on social networks, advertising, andcommunication in general, given that it seeks to understand how people interact and relate throughlanguage. Studies of this type are fundamental towards being able to interpret the feelings and attitudes ofusers and customers, as well as to improve human-machine interaction and the user experience in a varietyof fields of activity.”

    Researcher from Faculty of Sciences Publishes New Studies and Findings in the Area of Machine Translation (Towards a Combination of Metrics for Machine Translation)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on machine translation are presented in a new report. According to newsreporting originating from the Faculty of Sciences by NewsRx correspondents, research stated, “In thisscholar, we compare three metrics for machine translation, from English to French and vice versa, and wegive some combination formulas based on some schemes, algorithms, and machine learning tools. As anexperimental dataset, we consider 10 English and French theses abstracts published in the web with fourfree in charge machine translation systems.”

    New Artificial Intelligence Findings from University of Washington Discussed (Auditing the Inference Processes of Medical-image Classifiers By Leveraging Generative Ai and the Expertise of Physicians)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Artificial Intelligence have been presented. According to news reportingout of Seattle, Washington, by NewsRx editors, research stated, “The inferences of most machine-learningmodels powering medical artificial intelligence are difficult to interpret. Here we report a general frameworkfor model auditing that combines insights from medical experts with a highly expressive form of explainableartificial intelligence.”

    Research on Machine Learning Reported by a Researcher at Department of Physics (Towards Uncovering Dark Matter Effects on Neutron Star Properties: A Machine Learning Approach)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in artificial intelligence. According to news reporting originatingfrom Goa, India, by NewsRx correspondents, research stated, “Over the last few years, researchers havebecome increasingly interested in understanding how dark matter affects neutron stars, helping them tobetter understand complex astrophysical phenomena. In this paper, we delve deeper into this problem byusing advanced machine learning techniques to find potential connections between dark matter and variousneutron star characteristics.”

    Study Findings from Renmin University of China Advance Knowledge in Machine Learning (Inverse design machine learning model for metallic glasses with good glass-forming ability and properties)

    29-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The design ofmetallic glasses (MGs) with good properties is one of the long-standing bottlenecks in materials scienceand engineering, which has been relying mostly on far less efficient traditional trial-and-error methods.”