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

    New Machine Learning Study Findings Reported from University of Minnesota (Polym er Design via Shap and Bayesian Machine Learning Optimizes Pdna and Crispr Ribon ucleoprotein Delivery)

    21-22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 th e subject of a report. According to news reporting out of Minneapolis, Minnesota , by NewsRx editors, research stated, “We present the facile synthesis of a clic kable polymer library with systematic variations in length, binary composition, pK(a), and hydrophobicity (clog P) to optimize intracellular pDNA and CRISPR-Cas 9 ribonucleoprotein (RNP) performance. We couple physicochemical characterizatio n and machine learning to interpret quantitative structure-property relationship s within the combinatorial design space.”

    New Findings from MNIT in the Area of Machine Learning Published (Classifying th e walking pattern of humans on different surfaces using convolutional features a nd shallow machine learning classifiers)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators discuss new findings in artificial intelligence. According to news originating from Rajasthan, India, by NewsRx correspondents, research stated, “This study presents a methodology that combines convolution features with shallow classifiers for classifying the walk ing pattern on different surfaces.”

    Recent Findings in Machine Learning Described by a Researcher from University of Port Harcourt (Deepfake Detection and Classification of Images from Video: A Re view of Features, Techniques, and Challenges)

    23-23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 new report. According to news originating from Port Harcou rt, Nigeria, by NewsRx correspondents, research stated, “The proliferation of de epfake technology poses significant challenges to the integrity and authenticity of visual content in videos, raising concerns about misinformation and deceptiv e practices.”

    Research from Shenyang University of Chemical Technology Provide New Insights in to Machine Learning (Requirement Dependency Extraction Based on Improved Stackin g Ensemble Machine Learning)

    24-24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 new report. According to news reporting from Shenyang, Peo ple’s Republic of China, by NewsRx journalists, research stated, “To address the cost and efficiency issues of manually analysing requirement dependency in requ irements engineering, a requirement dependency extraction method based on part-o f-speech features and an improved stacking ensemble learning model (P-Stacking) is proposed.”

    Graz University of Technology Reports Findings in Machine Learning (Screening Au tomation in Systematic Reviews: Analysis of Tools and Their Machine Learning Cap abilities)

    25-25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 th e subject of a report. According to news originating from Graz, Austria, by News Rx correspondents, research stated, “Systematic reviews provide robust evidence but require significant human labor, a challenge that can be mitigated with digi tal tools. This paper focuses on machine learning (ML) support for the title and abstract screening phase, the most time-intensive aspect of the systematic revi ew process.”

    Jiangxi Normal University Researcher Provides New Study Findings on Machine Lear ning (Comparative Analysis of Machine Learning-Based Predictive Models for Fine Dead Fuel Moisture of Subtropical Forest in China)

    25-26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 originating from Nanchang, People’s Republic of China, by NewsRx correspondents, research stated, “The moisture content of f ine dead surface fuel in forests is a crucial metric for assessing its combustib ility and plays a pivotal role in the early warning, occurrence, and spread of f orest fires. Accurate prediction of the moisture content of fine dead fuel on th e forest surface is a critical challenge in forest fire management.”

    Researcher at Rochester Institute of Technology Has Published New Data on Machin e Learning (Detecting Fatigue during Exoskeleton-Assisted Trunk Flexion Tasks: A Machine Learning Approach)

    26-27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 originating from Rochester, N ew York, by NewsRx correspondents, research stated, “Back-Support Industrial Exo skeletons (BSIEs) can be beneficial in reducing the risk of injury due to overex ertion during trunk flexion tasks.”

    Findings from Jilin University Reveals New Findings on Intelligent Transport Sys tems (An Entropy-based Model for Quantifying Multidimensional Traffic Scenario Complexity)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - New research on Transportation - Intelligent Tran sport Systems is the subject of a report. According to news reporting out of Cha ngchun, People’s Republic of China, by NewsRx editors, research stated, “Quantif ying the complexity of traffic scenarios not only provides an essential foundati on for constructing the scenarios used in autonomous vehicle training and testin g, but also enhances the robustness of the resulting driving decisions and plann ing operations. However, currently available quantification methods suffer from inaccuracies and coarse-granularity in complexity measurements due to issues suc h as insufficient specificity or indirect quantification.”

    Study Results from University of California Berkeley in the Area of Androids Rep orted (Real-world Humanoid Locomotion With Reinforcement Learning)

    28-29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 - Androids. According to news reporting originating in Berkeley, Californ ia, by NewsRx journalists, research stated, “Humanoid robots that can autonomous ly operate in diverse environments have the potential to help address labor shor tages in factories, assist elderly at home, and colonize new planets. Although c lassical controllers for humanoid robots have shown impressive results in a numb er of settings, they are challenging to generalize and adapt to new environments .”

    Shandong University Researcher Describes Recent Advances in Robotics (Design and Analysis of a Symmetric Overconstrained Compliant Tilt/Tip Stage Based on a Hyb rid Transmission Ratio Model)

    29-30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 out of Shandong, People’s Republic of China, by NewsRx editors, research stated, “Developing a compliant mechanism that have potential in parasitism suppression and cross-axis decoupling is a major challe nge to meet the requirement of spatial micro-/nano positioning.”