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

    Institute of Electronics Researchers Publish New Data on Machine Learning (Distr ibuted Learning in the IoT-Edge-Cloud Continuum)

    39-39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 ar tificial intelligence. According to news originatingfrom Riga, Latvia, by NewsR x correspondents, research stated, “The goal of the IoT-Edge-CloudContinuum app roach is to distribute computation and data loads across multiple types of devic es takingadvantage of the different strengths of each, such as proximity to the data source, data access, orcomputing power, while mitigating potential weakne sses.”

    Studies from Mississippi State University Reveal New Findings on Machine Learnin g (A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Ca usal Effects: Applications To a Critical Care Trial)

    40-40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 Machine Learning is now available. According to news reporting out ofMississippi State, Mississippi, b y NewsRx editors, research stated, “Assessing heterogeneity in the effectsof tr eatments has become increasingly popular in the field of causal inference and ca rries importantimplications for clinical decision-making. While extensive liter ature exists for studying treatment effectheterogeneity when outcomes are fully observed, there has been limited development in tools for estimatingheterogene ous causal effects when patient-centered outcomes are truncated by a terminal ev ent, such asdeath.”

    Medical University of Vienna Reports Findings in Artificial Intelligence (Diagno sis and prognosis of abnormal cardiac scintigraphy uptake suggestive of cardiac amyloidosis using artificial intelligence: a retrospective, international, …)

    41-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Artificial Intelligence is the su bject of a report. According to news reporting from Vienna, Austria, by NewsRx j ournalists, research stated, “The diagnosis of cardiac amyloidosis canbe establ ished non-invasively by scintigraphy using bone-avid tracers, but visual assessm ent is subjectiveand can lead to misdiagnosis. We aimed to develop and validate an artificial intelligence (AI) system forstandardised and reliable screening of cardiac amyloidosis-suggestive uptake and assess its prognostic value,using a multinational database of Tc-scintigraphy data across multiple tracers and sca nners.”

    Indiana University Bloomington Researchers Describe New Findings in Robotics and Artificial Intelligence (Our business, not the robot’s: family conversations ab out privacy with social robots in the home)

    41-41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 robotic s and artificial intelligence. According tonews reporting originating from Bloo mington, Indiana, by NewsRx correspondents, research stated, “Thetargeted use o f social robots for the family demands a better understanding of multiple stakeh olders’privacy concerns, including those of parents and children.”

    Findings on Machine Learning Detailed by Investigators at SRM Institute of Scien ce and Technology (Amplifying Document Categorization With Advanced Features and Deep Learning)

    43-43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 Ma chine Learning. According to news reportingfrom Tamil Nadu, India, by NewsRx jo urnalists, research stated, “The field of natural language processing(NLP) play s a pivotal role in discerning unstructured data from diverse origins. This stud y employsadvanced techniques rooted in machine learning and deep learning to ef fectively categorize news articles.”

    University Medicine Reports Findings in Robotics (Robotic-assisted vs. open uret eral reimplantation: a multicentre comparison)

    44-44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 reportingoriginating in Mainz, Germany, by New sRx journalists, research stated, “Open ureteral reimplantation isconsidered th e standard surgical approach to treat distal ureteral strictures or injuries. Th ese proceduresare increasingly performed in a minimally invasive and robotic-as sisted manner.”

    Studies from Emory University Reveal New Findings on Artificial Intelligence [Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review]

    45-45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 news originatingfrom Atlanta, United State s, by NewsRx correspondents, research stated, “This paper brings acomprehensive systematic review of the application of geospatial artificial intelligence (Geo AI) in quantitativehuman geography studies, including the subdomains of cultura l, economic, political, historical, urban,population, social, health, rural, re gional, tourism, behavioural, environmental and transport geography.”

    Findings from Shenzhen University Provides New Data on Computational Intelligenc e (Evolutionary Large-scale Multiobjective Optimization Via Autoencoder-based Pr oblem Transformation)

    46-46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 reportin g originating from Shenzhen, People’s Republic of China, by NewsRxcorrespondent s, research stated, “Addressing the challenge of efficiently handling high-dimen sional searchspaces in solving large-scale multiobjective optimization problems (LMOPs) becomes an emerging researchtopic in evolutionary computation. In resp onse, this paper proposes a new evolutionary optimizer with atactic of autoenco der-based problem transformation (APT).”

    Study Data from Technical University Update Understanding of Machine Learning (A utomatic Classification of Active Deformation Areas Based on Synthetic Aperture Radar Data and Environmental Covariates Using Machine Learning-Application in SE …)

    47-47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 ar tificial intelligence. According to news reportingoriginating from Madrid, Spai n, by NewsRx correspondents, research stated, “Deformation processes,both natur al (e.g., subsidence, landslides, active tectonics) and induced (e.g., associate d with mining,construction. groundwater exploitation), result in significant so cioeconomic losses worldwide.”

    New Findings on Machine Learning from Nankai University Summarized (Optimizing C ollaboration Decisions In Technological Innovation Through Machine Learning: Ide ntify Trend and Partners In Collaboration-knowledge Interdependent Networks)

    48-48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 Ma chine Learning. According to news reportingout of Tianjin, People’s Republic of China, by NewsRx editors, research stated, “Technological innovation,which is exemplified by the convergence of diverse knowledge domains and collaborative ef fortsacross industries, has emerged as the primary catalyst for organizations s eeking to enhance their businessoperations and attain competitive advantages. C onsequently, optimizing decision-making processes isimperative for organization s to adeptly forecast technological convergence trends and strategically identify suitable collaboration partners.”