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    Rutgers University Robert Wood Johnson Medical School Reports Findings in Artifi cial Intelligence (The future of valvular heart disease assessment and therapy)

    75-76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 tonews reporting from New Brunswick, Ne w Jersey, by NewsRx journalists, research stated, “Valvular heartdisease (VHD) is becoming more prevalent in an ageing population, leading to challenges in dia gnosis andmanagement. This two-part Series offers a comprehensive review of cha nging concepts in VHD, coveringdiagnosis, intervention timing, novel management strategies, and the current state of research.”

    Department of Surgical Oncology Reports Findings in Robotics (Transoral Robotic Surgery for a Rare Case of Venolymphatic Malformation in Parapharyngeal Space)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting outof New Delhi, India, by NewsRx ed itors, research stated, “Venous malformations are low flow endothelialmalformat ions with aberrant and ectatic venous channels. They are defects in vascular gro wth whichcauses functional and cosmetic impairment.”

    Reports from Chelyabinsk State University Add New Study Findings to Research in Machine Learning [Molecular Dynamics Study of Temperature Dep endence of Grain Boundaries (100) in Pure Aluminum with Application of Machine L earning]

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news reporting originatingfrom Chelyabinsk, Russia, by New sRx correspondents, research stated, “As is known, grain boundary (GB)energy de termines the mobility of GBs and their population in metals.”

    Investigators at Anhui Normal University Describe Findings in Computational Inte lligence (Enhanced Self-attention Mechanism for Long and Short Term Sequential R ecommendation Models)

    78-79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 Machine Learn ing - Computational Intelligence have beenpublished. According to news originat ing from Wuhu, People’s Republic of China, by NewsRx correspondents,research st ated, “Compared with traditional recommendation algorithms based on collaborativ efiltering and content, the sequential recommendation can better capture change s in user interests andrecommend items that may be interacted with by the next time according to the user’s historical interactionbehaviors. Generally, there are several traditional methods for sequential recommendation: Markov Chain(MC) and Deep Neutral Network (DNN), both of which ignore the relationship between v arious behaviorsand the dynamic changes of user interest in items over time.”

    University of Durham Reports Findings in Robotics (Swarm Flocking Using Optimisa tion for a Self-organised Collective Motion)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Robotics. Acc ording to news originating from Durham,United Kingdom, by NewsRx correspondents , research stated, “Collective motion, often called flocking,is a prevalent beh aviour observed in nature wherein large groups of organisms move cohesively, gui dedby simple local interactions, as exemplified by bird flocks and fish schools . Inspired by those intelligentspecies, many cyber-physical systems attempted t o increase autonomy by resembling the models thatdescribe those collective beha viours.”

    New Findings from Harbin Institute of Technology in Robotics Provides New Insigh ts (Design and Implementation of a Ferrofluidbased Liquid Robot for Small-scale Manipulation)

    80-81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 Robotics have been published. According to news reportingout of Harbin, People’s Republic of China, by NewsRx editors, research stated, “Magnetic manipulation ofminiature soft or liquid robots capable of deformation has gained increasing attention and is demonstratinggreat potential in small-scale applications, such as drug deli very, minimal invasive surgery, and manipulationof delicate objects. In this st udy, we introduce a liquid robot composed of ferrofluid that shows promisefor s mall-scale magnetic manipulation applications.”

    Reports from University of Florida Advance Knowledge in Robotics (Unsupervised H uman Activity Recognition Learning for Disassembly Tasks)

    81-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originatingfrom Gainesville, Florida, by Ne wsRx correspondents, research stated, “Large volumes of used electronicsare oft en collected in remanufacturing plants, which requires disassembly before harves ting parts for reuse.Disassembly is mainly conducted manually with low producti vity.”

    Data from Instituto Tecnologico Metropolitano Advance Knowledge in Machine Learn ing (Machine Learning Applications in Optical Fiber Sensing: A Research Agenda)

    82-82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 artificial intelligence is now available. According to news reportingfrom Medellin, Colombia, by NewsR x journalists, research stated, “The constant monitoring and control ofvarious health, infrastructure, and natural factors have led to the design and developme nt of technologicaldevices in a wide range of fields. This has resulted in the creation of different types of sensors that canbe used to monitor and control d ifferent environments, such as fire, water, temperature, and movement,among others.”

    Data on Machine Learning Reported by Researchers at Department of Computer Scien ces and Engineering (Objective and Automatic Assessment of Bradykinesia In Parki nson’s Patients Using New Repetitive Pointing Task With Machine Learning Approach)

    83-83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 Machine Learn ing have been published. According to newsreporting originating in Chandigarh, India, by NewsRx journalists, research stated, “Bradykinesia is one ofthe main symptoms to diagnose Parkinson’s disease (PD). It indicates the slowness in the movement andcan be measured using various upper-limb and lower-limb activities based on Unified Parkinson’s DiseaseRating Scale.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Beiji ng University of Technology (Efficient Machine Learning Model Focusing On Active Sites for the Discovery of Bifunctional Oxygen Electrocatalysts In Binary Alloys)

    84-85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 Machine Learning. According to news reporting fromBeijing, People’s Republic of China, by NewsRx journalists, research stated, “The distinctive characteristicsof all oy catalysts, encompassing composition, structure, and modifiable adsorption sit es, present significantpotential for the development of highly efficient electr ocatalysts for oxygen evolution/reduction reactions[oxygen e volution reactions (OERs)/oxygen reduction reactions (ORRs)]. Machine learning (ML) methodscan quickly establish the relationship between ma terial features and catalytic activity, thus acceleratingthe development of all oy electrocatalysts.”