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    Studies from University of Sydney Yield New Data on Robotics and Automation (Lea rning To Simulate Tree-branch Dynamics for Manipulation)

    84-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. Accordingto news reporting originating from Sydney, Australia, by NewsRx correspondents, research stated, “Wepropose to use a simulation driven inverse inference approach to model the dynamics of tree br anchesunder manipulation. Learning branch dynamics and gaining the ability to m anipulate deformable vegetationcan help with occlusion-prone tasks, such as fru it picking in dense foliage, as well as moving overhangingvines and branches fo r navigation in dense vegetation.”

    Researchers from Massachusetts Institute of Technology Report Findings in Roboti cs (Enhancing Elderly Mobility: a Sturdy, Twobody Robot for Handlebar Placement In Any Location)

    85-85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 originatingfrom Cambridge, Massachusetts, by NewsRx correspondents, research stated, “Grab bars are widely usedto provide e lderly persons with support for daily activities, but their utility is limited b y room geometry,cost of installation, and potential obstruction of other moveme nts. We address these challenges through amobile robot that can place a handleb ar at any point in space, to optimally support postural transitions.”

    Studies from University of Coruna Describe New Findings in Machine Learning (Add ressing the Data Bottleneck In Medical Deep Learning Models Using a Human-in-the -loop Machine Learning Approach)

    86-86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 La Coruna, S pain, by NewsRx journalists, research stated, “Any machine learning(ML) model i s highly dependent on the data it uses for learning, and this is even more impor tant in thecase of deep learning models. The problem is a data bottleneck, i.e. the difficulty in obtaining an adequatenumber of cases and quality data.”

    Researchers’ Work from Purdue University Focuses on Machine Learning (Machine Le arning Based Resilience Testing of an Address Randomization Cyber Defense)

    87-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting from WestLafayette, Indiana, by NewsRx journ alists, research stated, “Moving target defenses (MTDs) are widelyused as an ac tive defense strategy for thwarting cyberattacks on cyber-physical systems by in creasingdiversity of software and network paths. Recently, machine Learning (ML ) and deep Learning (DL) modelshave been demonstrated to defeat some of the cyb er defenses by learning attack detection patterns anddefense strategies.”

    Amsterdam University Medical Center Reports Findings in Prostate Cancer (The Imp act of Omitting Contralateral Systematic Biopsy on the Surgical Planning of Pati ents with a Unilateral Suspicious Lesion on Magnetic Resonance Imaging Undergoin g ...)

    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 Oncology - Prostate Ca ncer is the subject of a report. Accordingto news reporting from Amsterdam, Net herlands, by NewsRx journalists, research stated, “A combinedapproach of magnet ic resonance imaging (MRI)-targeted biopsy (TBx) and bilateral systematic biopsy(SBx) is advised in patients who have an increased risk of prostate cancer (PCa ). The diagnostic gain ofSBx in detecting PCa for treatment planning of patient s undergoing robot-assisted radical prostatectomy(RARP) is unknown.”

    Study Findings from Nantes Universite Advance Knowledge in Robotics (Optimized R ay-Based Method for Workspace Determination of Kinematic Redundant Manipulators)

    89-89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 Nantes,France, by NewsRx journalists, rese arch stated, “Determining the workspace of a robotic manipulator ishighly signi ficant for knowing its abilities and planning the robot application.”Financial supporters for this research include Association Nationale De La Reche rche Et De La Technologie.

    New Machine Learning Findings Has Been Reported by Investigators at University o f Pittsburgh (Slide: Significant Latent Factor Interaction Discovery and Explora tion Across Biological Domains)

    90-90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 from Pittsburgh, Pennsylvan ia, by NewsRx journalists, research stated, “Modern multiomic technologiescan g enerate deep multiscale profiles. However, differences in data modalities, multi collinearityof the data, and large numbers of irrelevant features make analyses and integration of high-dimensionalomic datasets challenging.”

    New Findings from Zhejiang University of Technology in the Area of Intelligent S ystems Described (Discriminative Multi-scale Adjacent Feature for Person Re-iden tification)

    91-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning - Intelligent Systems. Accordingto news reporting from Zhejian g, People’s Republic of China, by NewsRx journalists, research stated,“Recently , discriminative and robust identification information has played an increasingl y critical role inPerson Re-identification (Re-ID). It is a fact that the exist ing part-based methods demonstrate strongperformance in the extraction of fine- grained features.”

    Florida International University Reports Findings in Artificial Intelligence [Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations]

    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 Artificial Intelligenc e is the subject of a report. According to news reportingoriginating from Miami , Florida, by NewsRx editors, the research stated, “Healthcare organizationshav e realized that Artificial intelligence (AI) can provide a competitive edge thro ugh personalized patientexperiences, improved patient outcomes, early diagnosis , augmented clinician capabilities, enhanced operationalefficiencies, or improv ed medical service accessibility. However, deploying AI-driven tools in theheal thcare ecosystem could be challenging.”

    Waseda University Researchers Publish New Studies and Findings in the Area of Ro botics (A ball-jointed tendon-driven continuum robot with multi-directional oper ability for grasping objects)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news reportingout of Waseda University by NewsR x editors, research stated, “A continuum robot, inspired by biologicalfeatures, flexibly bends its body and conforms to various shapes. The high compliance and low stiffness,however, causes low rigidity and ambiguity in control when it is applied to grasping and manipulating anobject.”Funders for this research include Jsps Kakenhi.