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    Study Findings on Machine Learning Reported by Researchers at Australian Nationa l University (Transparency challenges in policy evaluation with causal machine l earning: improving usability and accountability)

    39-39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 artificial intelligence is now available. According to news originating from Canberra, Australia, by Ne wsRx correspondents, research stated, “Causal machine learning tools are beginni ng to see use in real-world policy evaluation tasks to flexibly estimate treatme nt effects.” The news reporters obtained a quote from the research from Australian National U niversity: “One issue with these methods is that the machine learning models use d are generally black boxes, that is, there is no globally interpretable way to understand how a model makes estimates. This is a clear problem for governments who want to evaluate policy as it is difficult to understand whether such models are functioning in ways that are fair, based on the correct interpretation of e vidence and transparent enough to allow for accountability if things go wrong. H owever, there has been little discussion of transparency problems in the causal machine learning literature and how these might be overcome. This article explor es why transparency issues are a problem for causal machine learning in public p olicy evaluation applications and considers ways these problems might be address ed through explainable AI tools and by simplifying models in line with interpret able AI principles. It then applies these ideas to a case study using a causal f orest model to estimate conditional average treatment effects for returns on edu cation study. It shows that existing tools for understanding black-box predictiv e models are not as well suited to causal machine learning and that simplifying the model to make it interpretable leads to an unacceptable increase in error (i n this application).”

    New Findings from Harbin Institute of Technology Describe Advances in Robotics ( A Soft Robotic System Imitating the Multimodal Sensory Mechanism of Human Finger s for Intelligent Grasping and Recognition)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting out of Harbin, People’s Republic of China, by NewsRx editors, research stated, “The sensory function is crucial for achieving precise feedback control and environmental interaction in soft robots . Therefore, the multimodal sensory capabilities that mimic human fingers have a lways been a research hotspot.” Financial support for this research came from National Science Foun-dation for Y oung Scientists of China.

    Researcher from Changsha University Publishes New Studies and Findings in the Ar ea of Robotics (Stable Walking of a Biped Robot Controlled by Central Pattern Ge nerator Using Multivariate Linear Mapping)

    41-41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 ro botics. According to news reporting originating from Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “In order to improve the w alking stability of a biped robot in multiple scenarios and reduce the complexit y of the Central Pattern Generator (CPG) model, a new CPG walking controller bas ed on multivariate linear mapping was proposed.” Funders for this research include Research Foundation of Education Bureau of Hun an Province, China; Science And Technology Innovation Program of Hunan Province; Natural Science Foundation of Hunan Province.

    New Robotics and Automation Findings Has Been Reported by Investigators at Xi’an Jiaotong University (Multi-contact Cartesian Null-space Impedance Control for t he Anthropomorphic Manipulator Without Knowledge of Force Locations)

    42-42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 Ro botics - Robotics and Automation. According to news reporting originating in Xi’ an, People’s Republic of China, by NewsRx journalists, research stated, “There i s still a lack of null-space impedance control defined in Cartesian space that i s suitable for multipoint contact and does not require knowledge of the force lo cations. To address this problem, this letter demonstrates a type of Cartesian n ull-space impedance control for the anthropomorphic manipulator.”

    Study Findings on Machine Learning Are Outlined in Reports from Shanghai Jiao To ng University (Li2o Concentration Influenced Local Structure and Properties of M olten Licl Salt By Machine Learning Driven Molecular Dynamics Simulation)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Pyroprocessing is one of the promising technologies for the reprocessing of spent nuclear fuel. In the elect rolytic reduction process of pyroprocessing, LiCl serves as the electrolyte with a minor addition of Li2O as the initial oxygen ion input.”

    Nanjing Medical University Reports Findings in Heart Attack (The development and validation of a prognostic prediction modeling study in acute myocardial infarc tion patients after percutaneous coronary intervention: hemorrhea and major ...)

    44-45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 Heart Disorders and Di seases - Heart Attack is the subject of a report. According to news reporting or iginating in Wuxi, People’s Republic of China, by NewsRx journalists, research s tated, “Percutaneous coronary intervention (PCI) is one of the most important di agnostic and therapeutic techniques in cardiology. At present, the traditional p rediction models for postoperative events after PCI are ineffective, but machine learning has great potential in identification and prediction of risk.”

    Royal North Shore Hospital Reports Findings in Machine Learning (Machine-learnin g based risk prediction of in-hospital outcomes following STEMI: the STEMI-ML sc ore)

    45-46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 th e subject of a report. According to news reporting originating from Sydney, Aust ralia, by NewsRx correspondents, research stated, “Traditional prognostic models for ST-segment elevation myocardial infarction (STEMI) have limitations in stat istical methods and usability. We aimed to develop a machine-learning (ML) based risk score to predict in-hospital mortality, intensive care unit (ICU) admissio n, and left ventricular ejection fraction less than 40% (LVEF <40%) in STEMI patients.”

    Findings from Gansu Agricultural University in the Area of Machine Learning Desc ribed (Predictive Modeling of Patulin Accumulation In Apple Lesions Infected By Penicillium Expansum Using Machine Learning)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Lanzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Penicillium expansum cause s blue mold in fruit, leading to the accumulation of patulin, a harmful toxin. C urrent detection methods for patulin are costly and complex, highlighting the ne ed for a simplified approach.”

    Singapore University of Technology and Design Researcher Describes Advances in R obotics (KOALA: A Modular Dual-Arm Robot for Automated Precision Pruning Equippe d with Cross-Functionality Sensor Fusion)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news reporting from Singapore, Singapore, by NewsRx journalists, research stated, “Landscape maintenance is essential for ensuring agricultural productivity, promoting sustainable land use, and preserving soil and ecosystem health.” Funders for this research include National Robotics Program, Under Its National Robotics Program (Nrp) Bau, Ermine III: Deployable Reconfigurable Robots; Sutd-z ju Thematic Research Grant.

    Chelsea and Westminster Hospital NHS Foundation Trust Reports Findings in Artifi cial Intelligence (Artificial intelligence for automatic and objective assessmen t of competencies in flexible bronchoscopy)

    48-49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 Artificial Intelligenc e is the subject of a report. According to news reporting from London, United Ki ngdom, by NewsRx journalists, research stated, “Bronchoscopy is a challenging te chnical procedure, and assessment of competence currently relies on expert rater s. Human rating is time consuming and prone to rater bias.”