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

    Studies in the Area of Machine Learning Reported from Argonne National Laboratory (Accelerating multiscale electronic stopping power predictions with time-depen dent density functional theory and machine learning)

    49-49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 artificial intelligence. According to news originating from the Argonne National Laboratory by NewsRx correspondents, research stated, “Knowing the rate at which particle radiation releases energy in a material, the ‘stopping power,’ is key t o designing nuclear reactors, medical treatments, semiconductor and quantum materials, and many other technologies.” Funders for this research include U.S. Department of Energy; United States Department of Defense | United States Navy | Office of Naval Research; National Science Foundation.

    New Study Findings from Colorado State University Illuminate Research in Machine Learning (Observation Definitions and their Implications in Machine Learning-ba sed Predictions of Excessive Rainfall)

    50-50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 reporting from Fort Coll ins, Colorado, by NewsRx journalists, research stated, “The implications of defi nitions of excessive rainfall observations on machine learning-model forecast sk ill is assessed using the Colorado State University Machine Learning Probabiliti es (CSU-MLP) forecast system.”

    Data on Robotics Reported by Oluwasina Samuel Dada and Colleagues (Analyzing the emergence of surgical robotics in Africa: a scoping review of pioneering proced ures, platforms utilized, and outcome meta-analysis)

    51-51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 reporting out of Lagos, Nigeria, by NewsRx edit ors, research stated, “Surgical practice globally has undergone significant adva ncements with the advent of robotic systems. In Africa, a similar trend is emerg ing with the introduction of robots into various surgical specialties in certain countries.”

    University of Macau Reports Findings in Machine Learning (Imaging body-mind cros stalk in young adults)

    52-53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 out of Macao, People’s Republic of China, by NewsRx editors, research stated, “There is evidence that complex relationships exist between motor functions, brain structure, and cognitive functions, particularly in the aging population. However, whether such relationship s observed in older adults could extend to other age groups (e.g., younger adult s) remains to be elucidated.”

    Southwest Jiaotong University Reports Findings in Machine Learning (A hybrid app roach for modeling bicycle crash frequencies: Integrating random forest based SH AP model with random parameter negative binomial regression model)

    53-54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 originating from Sichuan, People’s Republic of China, by NewsRx correspondents, research stated, “To effectively capture and explain complex, nonlinear relationships within bicycle crash frequency data and account for unobserved heterogeneity simultaneously, this study proposes a new hybrid framework that combines the Random Forest-based SHapley Additive ex Planations (RF-SHAP) method with a random parameter negative binomial regression model (RPNB). First, four machine learning algorithms, including random forest (RF), support vector machine (SVM), gradient boosting machine (GBM), and Extreme Gradient Boosting (XGBoost), were compared for variable importance calculation. ”

    Reports Outline Machine Learning Findings from South Dakota School of Mines and Technology (Geofingerprinting of Coltan Using Handheld Spectroscopic Devices)

    54-55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 reporting originating in Rapid City, South Dakota, by NewsRx journalists, research stated, “Following the enactment of the Dodd-Fr ank Act in 2010, specifically Sect. 1502, US companies have been required to rep ort utilizing conflict minerals from the Democratic Republic of Congo (DRC). The conflict mineral coltan, an ore consisting of elements tantalum and niobium, is central to this issue and engenders the need to track and trace the mineral’s s upply chain.”

    Studies from China Agricultural University Provide New Data on Machine Learning (Identification of Natural Inhibitors Targeting Polyphenol Oxidase Through Machi ne Learning-assisted Virtual Screening and Investigation of Molecular Mechanisms ...)

    55-56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. According to news reporting originating in Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “The development of pote nt inhibitors of polyphenol oxidase (PPO) is crucial for preventing enzymatic br owning, especially when derived from natural food ingredients. However, there ar e currently few natural PPO inhibitors available, and the underlying structure-a ctivity relationship remains unclear.”

    Findings from Wake Forest University School of Medicine in Machine Learning Repo rted (Directional Change During Active Diffusion of Viral Ribonucleoprotein Part icles Through Cytoplasm)

    56-57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 Winston-Salem, North Carolina, by NewsRx journalists, research stated, “A mesh of cytoskeletal fibers, consist ing of microtubules, intermediate filaments, and fibrous actin, prevents the Bro wnian diffusion of particles with a diameter larger than 0.10 mu m, such as vesi cular stomatitis virus ribonucleoprotein (RNP) particles, in mammalian cells. Ne vertheless, RNP particles do move in random directions but at a lower rate than Brownian diffusion, which is thermally driven.”

    Sichuan University Reports Findings in Meningitis (Cerebrospinal fluid-induced s table and reproducible SERS sensing for various meningitis discrimination assist ed with machine learning)

    57-58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 Central Nervous System Diseases and Conditions - Meningitis is the subject of a report. According to n ews reporting originating in Sichuan, People’s Republic of China, by NewsRx jour nalists, research stated, “Cerebrospinal fluid (CSF)-based pathogen or biochemic al testing is the standard approach for clinical diagnosis of various meningitis . However, misdiagnosis and missed diagnosis always occur due to the shortages o f unusual clinical manifestations and time-consuming shortcomings, low sensitivi ty, and poor specificity.”

    Fujian Medical University Reports Findings in Machine Learning (GPCRSPACE: A New GPCR Real Expanded Library Based on Large Language Models Architecture and Posi tive Sample Machine Learning Strategies)

    58-59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 out of Fuzhou, People’s Repub lic of China, by NewsRx editors, research stated, “The quest for novel therapeut ics targeting G protein-coupled receptors (GPCRs), essential in numerous physiol ogical processes, is crucial in drug discovery. Despite the abundance of GPCR-ta rgeting drugs, many receptors lack selective modulators, indicating a significant untapped therapeutic potential.”