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

    Findings from Jiangsu University in Computational Intelligence Reported (Paramet erized l0 Image Smoothing With Unsupervised Learning)

    39-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Compu tational Intelligence are presented in anew report. According to news originati ng from Zhenjiang, People’s Republic of China, by NewsRxcorrespondents, researc h stated, “The traditional L-0 filter shows exquisite smoothing quality, but itsuffers from high computational cost. In this paper, we propose an efficient sol ution to the L-0 -regularizedoptimization problem based on deep unsupervised le arning.”

    Studies from Florida International University Add New Findings in the Area of Ma chine Learning (Formal Threat Analysis of Machine Learning-based Control Systems : a Study On Smart Healthcare Systems)

    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 reportingoriginating from Miami, Florida, by News Rx correspondents, research stated, “Modern cyber-physicalsystems (CPSs) use th e Internet of Things (IoT) to collect and exchange data efficiently, monitor device/sensor level interaction effectively, and adopt new standards effortlessly. Machine learning (ML) modelsare growingly used in the controllers of these IoT- enabled CPSs for pattern identification, state estimation,prediction, and anoma ly detection.”

    Technical University Dortmund (TU Dortmund) Reports Findings in Machine Learning (Using Sequential Statistical Tests for Efficient Hyperparameter Tuning)

    41-41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 Dortmund, Ge rmany, by NewsRx journalists, research stated, “Hyperparametertuning is one of the most time-consuming parts in machine learning. Despite the existence of mode rnoptimization algorithms that minimize the number of evaluations needed, evalu ations of a single settingmay still be expensive.”

    Investigators from Nanjing University of Science and Technology Target Robotics (Collision-free Path Planning for Cable-driven Continuum Robot Based On Improved Artificial Potential Field)

    42-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating in Nanjing, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Continuum robot has become a research hotspot due to its excellent dexterity, flexibility and ap plicabilityto constrained environments. However, the effective, secure and accu rate path planning for the continuumrobot remains a challenging issue, for that it is difficult to choose a suitable inverse kinematics solutiondue to its red undancy in the confined environment.”

    Study Data from Jawaharlal Institute of Postgraduate Medical Education and Resea rch (JIPMER) Update Understanding of Artificial Intelligence (Artificial Intelli gence and Its Role in Medical Research)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Puducherry, In dia, by NewsRx editors, research stated, “Artificial intelligence (AI) hasemerg ed as a revolutionary mechanism in the field of science and technology.”

    Peking University Third Hospital Reports Findings in COVID-19 (A generalizable a nd easy-to-use COVID-19 stratification model for the next pandemic via immune-ph enotyping and machine learning)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to newsreporting originating from Beijin g, People’s Republic of China, by NewsRx correspondents, research stated,“The c oronavirus disease 2019 (COVID-19) pandemic has affected billions of people worl dwide, and thelessons learned need to be concluded to get better prepared for t he next pandemic. Early identification ofhigh-risk patients is important for ap propriate treatment and distribution of medical resources.”

    Siberian Federal University Researcher Details Research in Machine Learning (Mac hine Learning in Quasi-Newton Methods)

    44-45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 artific ial intelligence. According to news reporting fromKrasnoyarsk, Russia, by NewsR x journalists, research stated, “In this article, we consider the correction ofmetric matrices in quasi-Newton methods (QNM) from the perspective of machine le arning theory. Basedon training information for estimating the matrix of the se cond derivatives of a function, we formulate aquality functional and minimize i t by using gradient machine learning algorithms.”

    Researchers at Erasmus University Release New Data on Artificial Intelligence (B enefits or Concerns of Ai: a Multistakeholder Responsibility)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Artificial Intelligence are presented in a new report. According to newsreporting originating in Rotter dam, Netherlands, by NewsRx editors, the research stated, “This articleprovides a comprehensive overview of the current state of academic research on benefits and concerns ofartificial intelligence (AI) in everyday life. Findings from the literature presented in this article offer usefulguidance for the stakeholders who are looking into establishing governance practices for responsible artificial intelligence (AI) so that the future of our smart societies is safe, inclusiv e, and sustainable.”

    Researchers from Queen Mary University of London Report Recent Findings in Robot ics (Force Analysis of a Soft-rigid Hybrid Pneumatic Actuator and Its Applicatio n In a Bipedal Inchworm Robot)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting outof London, United Kingdom, by Ne wsRx editors, research stated, “This paper systematically investigates asoft-ri gid hybrid pneumatic actuator (SRHPA), which consists of a rigid-foldable twisti ng skeleton capableof a large range of helical motion and a soft bellows muscle with high linear driving force. Consideringthe unique varying-pitch helical mo tion of the foldable skeleton, the analytical model mapping the inputforce gene rated by the bellows muscle and output forces of the actuator is revealed and ve rified with asimulation of the force analysis.”

    Southern Medical University Reports Findings in Artificial Intelligence (Rapid E ndoscopic Diagnosis of Benign Ulcerative Colorectal Diseases with an Artificial Intelligence Contextual Framework)

    47-48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 out of Guangdong, Peop le’s Republic of China, by NewsRx editors, research stated, “Benignulcerative c olorectal diseases (UCDs) such as ulcerative colitis (UC), Crohn’s disease (CD), ischemic colitis(IC) and intestinal tuberculosis (ITB) share similar phenotype s with different etiologies and treatmentstrategies. To accurately diagnose clo sely-related diseases like UCDs, we hypothesize that contextuallearning is crit ical in enhancing the ability of the artificial intelligence models to different iate the subtledifferences in lesions amidst the vastly divergent spatial conte xts.”