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    Findings from Xiangtan University Provides New Data on Machine Learning (Smokena v: Millimeter-wave-radar/inertial Measurement Unit Integrated Positioning and Se mantic Mapping In Visually Degraded Environments for First Responders)

    49-50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. According to news reporting outof Xiangtan, People’s Republic of China, by NewsRx editors, research stated, “First responders often facehaza rdous and life-threatening situations in environments filled with smoke, posing significant risks to theirsafety. The existing perception solutions, such as ca mera or light detection and ranging (LiDAR)-basedmethods, are inadequate when f aced with visually degraded conditions caused by smoke.”

    Qingdao Agricultural University Researcher Targets Robotics (The Identification, Separation, and Clamp Function of an Intelligent Flexible Blueberry Picking Rob ot)

    50-50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 reporting outof Qingdao, People’s Republic o f China, by NewsRx editors, research stated, “Identifying fruit maturityaccurat ely and achieving damage-free harvesting are challenges in designing blueberry-p icking robots.”Funders for this research include National Natural Science Foundation; Shandong Provincial PostdoctoralScience Foundation.

    Shanghai University Reports Findings in Machine Learning (The Application of Mac hine Learning in Doping Detection)

    51-51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 Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated,“Detecting dopin g agents in sports poses a significant challenge due to the continuous emergence of newprohibited substances and methods. Traditional detection methods primari ly rely on targeted analysis,which is often labor-intensive and is susceptible to errors.”

    Findings in Robotics Reported from University of Tokyo (How to arrange the robot ic environment? Leveraging experience in both motion planning and environment op timization)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in robotics. A ccording to news originating from Tokyo, Japan, byNewsRx correspondents, resear ch stated, “This study presents an experience-based hierarchical-structure optim ization algorithm to address the robotic system environment design problem, whic h combines motionplanning and environment arrangement problems together.”

    Reports on Machine Learning from Institute of Physics Cantabria Provide New Insi ghts (Efficient and Scalable Covariate Drift Detection In Machine Learning Syste ms With Serverless Computing)

    52-53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 Santander, Spain, by NewsRx jou rnalists, research stated, “As machine learning models are increasinglydeployed in production, robust monitoring and detection of concept and covariate drift b ecomecritical. This paper addresses the gap in the widespread adoption of drift detection techniques by proposinga serverless-based approach for batch covaria te drift detection in ML systems.”

    Findings from Vrije Universiteit Brussel (VUB) Update Understanding of Artificia l Intelligence (What Drives the Corporate Payoffs of Using Generative Artificial Intelligence?)

    53-54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 Artificial In telligence have been published. According to newsreporting originating in Bruss els, Belgium, by NewsRx editors, the research stated, “Artificial Intelligence,a set of technologies that aim to replicate human cognitive functions, has seen remarkable improvementsover the last decade. In particular, generative AI (GenA I), a subset of AI able to generate content tasksbased on Large Language Models (LLM), has recently gained momentum.”

    Study Findings on Robotics Reported by a Researcher at Northeast Agricultural Un iversity (SLAM Algorithm for Mobile Robots Based on Improved LVI-SAM in Complex Environments)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on robotics have been publi shed. According to news reporting out of Harbin,People’s Republic of China, by NewsRx editors, research stated, “The foundation of robot autonomousmovement is to quickly grasp the position and surroundings of the robot, which SLAM technol ogy providesimportant support for.”

    New Data from Yanshan University Illuminate Findings in Robotics (Target Trackin g for Tarkbot Intelligent Robots By Fusing Lidar and Camera Data)

    55-55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 reporting out ofQinhuangdao, People’s Republic of Chi na, by NewsRx editors, research stated, “In this article, a targettracking issu e is investigated for a TarkBot intelligent robot with a lidar and a camera to i dentify the stateof the target moving around the robot. As the measurement erro r of the camera increases with distance,a measurement model with multiplicative noise is constructed to describe the distance-related error.”Funders for this research include Natural Science Fund of Hebei Province, Provin cial Key LaboratoryPerformance Subsidy Project.

    Studies in the Area of Neural Computation Reported from University of California (Computing With Residue Numbers in High- Dimensional Representation)

    56-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on neural computation are p resented in a new report. According tonews reporting originating from the Unive rsity of California by NewsRx correspondents, research stated,“We introduce res idue hyperdimensional computing, a computing framework that unifies residue numb ersystems with an algebra defined over random, high-dimensional vectors.”

    Data from Charles University of Prague Provide New Insights into Machine Learnin g (Learnability of State Spaces of Physical Systems Is Undecidable)

    56-57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 Machine Learning. According to news reporting originatingfrom Prague, Czech Republic, by NewsRx correspondents, research stated, “Despite an increasingrole of machin e learning in science, there is a lack of results on limits of empirical explora tion aided bymachine learning. In this paper, we construct one such limit by pr oving undecidability of learnability ofstate spaces of physical systems.”