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    Data from Victoria University Broaden Understanding of Sensor Technology (Leak a nd Burst Detection in Water Distribution Network Using Logic- and Machine Learni ng-Based Approaches)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on sensor technology have been pres ented. According to news originating fromMelbourne, Australia, by NewsRx corres pondents, research stated, “Urban water systems worldwide areconfronted with th e dual challenges of dwindling water resources and deteriorating infrastructure, emphasisingthe critical need to minimise water losses from leakage. Convention al methods for leak and burstdetection often prove inadequate, leading to prolo nged leak durations and heightened maintenance costs.”Funders for this research include Victoria University, Melbourne, Australia; Gre ater Western Water,Melbourne, Australia.

    University of Virginia School of Medicine Reports Findings in Machine Learning ( Predicting Clostridioides difficile infection outcomes with explainable machine learning)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Charlottesville, Virgi nia, by NewsRx editors, research stated, “Clostridioides difficile infectionres ults in life-threatening short-term outcomes and the potential for subsequent re current infection.Predicting these outcomes at diagnosis, when important clinic al decisions need to be made, has proven tobe a difficult task. 52 clinical fea tures from existing models or the literature were collected retrospectivelywith in ±48 h of diagnosis among 1660 inpatient infections.”

    School of Engineering and Science Researchers Target Robotics and Artificial Int elligence (Enhancing Buoyant force learning through a visuo-haptic environment: a case study)

    23-23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 and artificia l intelligence is the subject of a new report.According to news originating fro m Ciudad de Mexico, Mexico, by NewsRx editors, the research stated,“This study aimed to develop, implement, and test a visuo-haptic simulator designed to explo re thebuoyancy phenomenon for freshman engineering students enrolled in physics courses. The primary goalwas to enhance students’ understanding of physical co ncepts through an immersive learning tool.”

    Researchers from University of San Francisco Report Recent Findings in Intellige nt Systems (A Novel Fuzzy Finite-horizon Economic Lot and Delivery Scheduling Mo del With Sequence-dependent Setups)

    24-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning - Intelligent S ystems have been presented. According to newsreporting originating from San Fra ncisco, California, by NewsRx correspondents, research stated, “Thispaper addre sses the economic lot and delivery scheduling problem (ELDSP) within three-echel on supplychains, focusing on the complexities of demand uncertainty, limited sh elf-life of products, and sequencedependencyof setups. We develop a novel mixe d-integer non-linear programming (MINLP) model fora supply chain comprising one supplier, multiple manufacturers with flexible flow shop (FFS) productionsyste ms, and multiple retailers, all operating over a finite planning horizon.”

    Data on Robotics Described by Researchers at University of Zurich (Visual Odomet ry With Neuromorphic Resonator Networks)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting out of Zurich,Switzerland, by NewsRx editors, r esearch stated, “Visual odometry (VO) is a method used to estimateself-motion o f a mobile robot using visual sensors. Unlike odometry based on integrating diff erential measurementsthat can accumulate errors, such as inertial sensors or wh eel encoders, VO is not compromisedby drift.”

    University of Cambridge Reports Findings in Machine Learning (Recent methodologi cal advances in federated learning for healthcare)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Cambridge, Uni ted Kingdom, by NewsRx journalists, research stated, “For healthcaredatasets, i t is often impossible to combine data samples from multiple sites due to ethical , privacy,or logistical concerns. Federated learning allows for the utilization of powerful machine learning algorithmswithout requiring the pooling of data.”

    Data on Machine Learning Reported by a Researcher at Manchester Metropolitan Uni versity (Objective Falls Risk Assessment Using Markerless Motion Capture and Rep resentational Machine Learning)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting out of Manchester, Unite d Kingdom, by NewsRx editors, research stated, “Falls are a major issuefor thos e over the age of 65 years worldwide. Objective assessment of fall risk is rare in clinical practice.”

    Vector Institute for Artificial Intelligence Researcher Describes Research in Da ta Intelligence (FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for La rge Language Model Training?)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on data intelligence are pr esented in a new report. According to newsreporting out of Toronto, Canada, by NewsRx editors, research stated, “ABSTRACT: The rapid evolutionof Large Languag e Models (LLMs) highlights the necessity for ethical considerations and data int egrity inAI development, particularly emphasizing the role of FAIR (Findable, A ccessible, Interoperable, Reusable)data principles.”

    Recent Findings from Harbin University Has Provided New Information about Robotics (Multi-modal Bionic Motion Analysis of a Cpg-controlled Pneumatic Soft Robot)

    28-29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 originating fromHarbin, People’s Republic of China, b y NewsRx correspondents, research stated, “This paper designs asoft robot with a multi-chamber, multi-airbag mimicking soft biological structure, where the air bags ofthe same chamber are interconnected with each other. The upper and lower chambers are separated by anintermediate layer (thin plate), which is extended and widened to achieve robot movement and balance.”

    Studies from Baylor University Yield New Data on Machine Learning (Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machin e Learning Architectures)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting originating fr om Waco, Texas, by NewsRx correspondents, research stated, “Images andtext have become essential parts of the multimodal machine learning (MMML) framework in t oday’s worldbecause data are always available, and technological breakthroughs bring disparate forms together, andwhile text adds semantic richness and narrat ive to images, images capture visual subtleties and emotions.Together, these tw o media improve knowledge beyond what would be possible with just one revolutionary application.”