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

    Data from Taiyuan University of Technology Update Knowledge in Robotics (Robot’s automatic strategy for fermented grains scooping based on machine vision)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on robotics is now availab le. According to news reporting from Shanxi,People’s Republic of China, by News Rx journalists, research stated, “To solve the problems of low level ofautomati on and high labor intensity of workers in the fermented grains discharging proce ss of solid-statefermentation in the ground-pot. An automatic fermented grains scooping strategy for the compound robotfor fermented grains scooping was propo sed.”

    Second Medical Center of Chinese PLA General Hospital Reports Findings in Atrial Fibrillation (Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation)

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Heart Disorders and Di seases - Atrial Fibrillation is the subject ofa report. According to news repor ting out of Beijing, People’s Republic of China, by NewsRx editors,research sta ted, “Accurate prediction of survival prognosis is helpful to guide clinical dec ision-making.The aim of this study was to develop a model using machine learnin g techniques to predict the occurrenceof composite thromboembolic events (CTEs) in elderly patients with atrial fibrillation(AF).”

    Reports Outline Artificial Intelligence Findings from Vanderbilt University (Cri tical Posthumanist Literacy: Building Theory for Reading, Writing, and Living Et hically With Everyday Artificial Intelligence)

    87-88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 Intelligen ce have been presented. According to newsreporting originating in Nashville, Te nnessee, by NewsRx journalists, research stated, “Literacy has becomeinextricab ly bound with machine processes, especially in the age of ubiquitous, consequent ial artificialintelligence (AI). Despite a relatively long history of AI involv ement in our everyday reading and writingpractices, the public availability of generative AI tools has set off a wave of heated debate-and concernaboutAI’s r ole in our lives.”

    Wroclaw Medical University Reports Findings in Heart Attack (Machine Learning an d Clinical Predictors of Mortality in Cardiac Arrest Patients: A Comprehensive A nalysis)

    88-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Heart Disorders and Di seases - Heart Attack is the subject of areport. According to news originating from Wroclaw, Poland, by NewsRx correspondents, research stated,“Cardiac arrest (CA) is a global public health challenge. This study explored the predictors of mortality andtheir interactions utilizing machine learning algorithms and thei r related mortality odds among patientsfollowing CA.”

    University Hospital of Rome Tor Vergata Reports Findings in Thrombectomy (Ensemb le Machine Learning to Predict Futile Recanalization After Mechanical Thrombecto my based on Non-Contrast CT Imaging)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Thrombectomy is the subject of a report. Accordingto news reporting originating from Rome, Italy, by NewsRx correspondents, research stated, “Despitesuccessful recanaliza tion after Mechanical Thrombectomy (MT), approximately 25% of pati ents withAcute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show u nfavorable clinical outcomes,namely Futile Recanalization (FR). We aimed to use a Machine Learning (ML) Non-Contrast brain CT(NCCT) imaging predictive model t o identify FR in patients undergoing MT.”

    Researchers from Sonatrach Describe Findings in Artificial Intelligence (Utilizi ng Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure In Carbon Capture and Utilization Processes: a Comprehensive Review and Applicat ions)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Artificial In telligence have been published. According tonews reporting originating from Bou merdes, Algeria, by NewsRx correspondents, research stated, “Thecarbon dioxide (CO2) based enhanced oil recovery methods (EORs) are considered among the promis ingtechniques for increasing the recovery factor from mature oil reservoirs and reducing the amount of CO2emission in the atmosphere. Determining the minimum miscibility pressure (MMP) of CO2 - oil systemsis a crucial step for successful ly implementing CO2 - EOR processes.”

    Ataturk University Faculty of Medicine Reports Findings in Artificial Intelligen ce [Recognition of Colon Polyps (Tubular Adenoma, Villous Ade noma) and Normal Colon Epithelium Histomorphology with Transfer Learning]

    91-92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 Intelligenc e is the subject of a report. According to newsreporting originating in Erzurum , Turkey, by NewsRx journalists, research stated, “The use of artificialintelli gence technology in medicine, which is remarkable with its increasing use in man y areas recently,has allowed for rapid developments. This technology quantitati vely solves many problems in medicine,such as increased workload, delayed diagn osis, and treatment processes.”

    Xi’an Jiaotong University Reports Findings in Machine Learning (Production of hi gh calorific value hydrogen-rich combustible gas by supercritical water gasifica tion of straw assisted by machine learning)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to news originatingfrom Xi’an, People’s Republ ic of China, by NewsRx correspondents, research stated, “This articlereveals th e basic laws of straw supercritical water gasification (SCWG) and provides basic experimentaldata for the effective utilization of straw. The paper studied the impact of three operational conditions onthe production of high-calorific valu e hydrogen-rich combustible gases through SCWG of straw within aquartz tube rea ctor.”

    Patent Issued for Module insertion system for robotic assembly (USPTO 12053893)

    93-95页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“Robotic assembly systems assemble computer systems and other devices. One of the expensive elementsin assembly are the modules, such as dual in-line memory modules (DIMMs) inserted into sockets on theboard. A module ins erted incorrectly can damage the module and the socket, which can render the ent ireboard unusable, and is an expensive error considering that there are typical ly 12 to 24 sockets per board,and damaging any one of those sockets can scrap t he entire board. Module insertion needs high accuracywhich accounts for real wo rld variation in pitch, yaw, and rotation of the part on the board. Incorrector incomplete insertion of modules can cause defects and rework for manufacturers. And most insidiously,it may lead to board-level failures long after the board has passed testing at the manufacturer, and hasentered its service life in an e nd-customer product or data center rack.”

    'Robotic Surgery Device And Feeding System' in Patent Application Approval Proce ss (USPTO 20240261040)

    95-97页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “In various applications, it is often necessary to explore the inside of a pipe-shaped object(also referred to as a “pipe”). In addition to observing the inside of the pipe to find out defects and flaw,some times it is also necessary to repair such defects and flaw.