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 Recently Were Reported by Researchers at University of Illinois (Contributions To Diffusion In Complex Materials Quantified With Machine Learning)

    108-108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 Urbana, Illi nois, by NewsRx journalists, research stated, “Using machine learning with a var iational formula for diffusivity, we recast diffusion as a sum of individual con tributions to diffusion-called ‘kinosons'-and compute their statistical distribu tion to model a complex multicomponent alloy.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Dan ube Private University (Unified Roadmap for Zif-8 Nucleation and Growth: Machine Learning Analysis of Synthetic Variables and Their Impact On Particle Size and ...)

    109-110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 Machine Learning are discussed in a new report. According to news reporting out of Krems, Austria , by NewsRx editors, research stated, “Metal-organic frameworks (MOFs) have settled in the scientific community over the last decades as versatile materials with several applications. Among those, zeolitic imidazolate framework 8 (ZIF-8) is a well-known MOF that has been applied in various and diverse fields, from drug -delivery platforms to microelectronics.” Financial supporters for this research include Austrian Science Fund (FWF), Aust rian Science Fund (FWF), National University of La Plata, Spanish Government.

    Investigators from University of Jinan Have Reported New Data on Artificial Inte lligence (Artificial Intelligence Motivated Flexible Single-electrode Mode Multi layer Triboelectric Sensor for Smart Mobility Systems)

    110-111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 Artificial Intelligence is now available. According to news originating from Jinan, People's Republic o f China, by NewsRx correspondents, research stated, “Triboelectric tactile sensi ng technique is increasingly coming into people's lives to bring convenience, so that there is an urgent necessity for this technique to be applied to smart mob ility to increase safety and enhance the mobility experience. Herein, a single-e lectrode mode multilayer triboelectric sensor (MTS) motivated by artificial inte lligence (AI) is proposed, which consists of styrene-butadiene-styrene (SBS)/ po ly (vinylidaene fluoridetrifluoroethylene) (PVDF-TrFE) nanofibers (NFs) film as the friction layer and substrate, laserinduced graphene (LIG)/molybdenum disul fide (MoS2) as the charge trapping layer, and Ag as the electrode.”

    Research Results from Guangdong University of Technology Update Understanding of Machine Learning (A smart detection method for sleep posture based on a flexibl e sleep monitoring belt and vital sign signals)

    111-112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 Guangzh ou, People's Republic of China, by NewsRx editors, the research stated, “People spend approximately one-third of their lives in sleep, but more and more people are suffering from sleep disorders. Sleep posture is closely related to sleep qu ality, so related detection is very significant.”

    Study Data from Hebei University of Technology Update Understanding of Machine Learning (Machine-learning-based Kinetic-free Hybrid Gray-box Model To Predict Su lfuric-acid-catalyzed Esterification Reaction)

    112-113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 originating from Tianjin, People's Republic of China, by NewsRx correspondents, research stated, “The sulfuric-acid -catalyzed esterification reaction of 2-butanol and propionic anhydride is a vit al industrial process. In this paper, several experiments are conducted via reac tion calorimetry to validate that both sulfuric and propionic acids have discern ible catalytic effects on the reaction.”

    Reports Outline Anxiety Disorders Study Findings from Karlstad University (The Effects of a Sleep Robot Intervention On Sleep, Depression and Anxiety In Adults With Insomnia-a Randomized Waitlist-controlled Trial)

    113-114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 Mental Health Dis eases and Conditions - Anxiety Disorders are discussed in a new report. Accordin g to news reporting originating in Karlstad, Sweden, by NewsRx journalists, rese arch stated, “The study objective was to assess if a 3-week intervention with th e Somnox sleep robot had effects on symptoms of insomnia, somatic arousal, and/o r concurrent symptoms of depression and anxiety in adults with insomnia, compare d with a waitlist-control group. The participants (n = 44) were randomized to a 3-week intervention with the sleep robot (n = 22), or to a waitlist-control grou p (n = 22).”

    University of Washington Reports Findings in Artificial Intelligence (Algorithmic discrimination: examining its types and regulatory measures with emphasis on U S legal practices)

    114-115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 - Artificial Int elligence is the subject of a report. According to news reporting out of Seattle , Washington, by NewsRx editors, research stated, “Algorithmic decisionmaking s ystems are widely used in various sectors, including criminal justice, employmen t, and education. While these systems are celebrated for their potential to enha nce efficiency and objectivity, they also pose risks of perpetuating and amplify ing societal biases and discrimination.”

    Guangzhou University Reports Findings in Intelligent Systems (Multimodal Fake Ne ws Detection Through Intra-modality Feature Aggregation and Inter-modality Semantic Fusion)

    115-116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 Ma chine Learning - Intelligent Systems. According to news originating from Guangdo ng, People's Republic of China, by NewsRx correspondents, research stated, “The prevalence of online misinformation, termed ‘fake news', has exponentially escal ated in recent years. These deceptive information, often rich with multimodal content, can easily deceive individuals into spreading them via various social med ia platforms.”

    Reports on Machine Learning Findings from Northern Border University Provide New Insights (Adaptive Method for Feature Selection in the Machine Learning Context )

    116-117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 Norther n Border University by NewsRx correspondents, research stated, “Feature selectio n is a fundamental aspect of machine learning that is crucial for improving the accuracy and efficiency of models.”

    Recent Studies from Texas A&M University Add New Data to Machine Le arning (Mechanisms of Extensive Fracture Propagation Post-coalescence: a Machine Learning Assisted Discovery)

    117-118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 originating from College Station, Texas, by NewsRx correspondents, research stated, “This study investigates the sp atial arrangement of existing crack pathways and the crack network at the time o f crack coalescence in brittle rock -like materials, focusing on the factors tha t contribute to rapid and extensive crack growth immediately afterward. To that end, we extract relevant informative features from simulated crack networks gene rated by the HOSS simulator and employ machine learning methods to establish cor relations between these features and the initiation of rapid and extensive crack propagation following coalescence.”