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    University of Technology Sydney Researchers Highlight Recent Research in Machine Learning (Secure Multi-Party Computation for Machine Learning: A Survey)

    114-114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 new report. According to news reporting from Sydney, Austr alia, by NewsRx journalists, research stated, “Machine learning is a powerful te chnology for extracting information from data of diverse nature and origin.” Funders for this research include Food Agility Crc Ltd.; Robert Bosch (Australia ) Pty Ltd.; Robert Bosch Gmbh.
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    Studies from Yanshan University Describe New Findings in Robotics (Asynchronous Piecewise Continuous Hybrid Dynamic Eventtriggered Tracking Control for Mobile Robots)

    115-115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 originating from Qinhuangdao, People’s Republic of China, b y NewsRx correspondents, research stated, “In this article, an asynchronous piec ewise continuous hybrid dynamic event-triggered mechanism (DETM) is proposed for wheeled mobile robots (WMRs) to cope with nonideal network environments. Unlike the previous DETM, the asynchronous piecewise continuous DETM depends on a piec ewise continuous intervals related to the previous triggered durations, while ma intaining the required control performance and improving communication efficienc y.” Financial support for this research came from Natural Science Foundation of Hebe i Province.
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    New Findings from Florida Atlantic University in the Area of Machine Learning De scribed (Objective estimation of m-CTSIB balance test scores using wearable sens ors and machine learning)

    116-116页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Boca Raton, Fl orida, by NewsRx editors, research stated, “Accurate balance assessment is impor tant in healthcare for identifying and managing conditions affecting stability a nd coordination. It plays a key role in preventing falls, understanding movement disorders, and designing appropriate therapeutic interventions across various a ge groups and medical conditions.” Our news reporters obtained a quote from the research from Florida Atlantic Univ ersity: “However, traditional balance assessment methods often suffer from subje ctivity, lack of comprehensive balance assessments and remote assessment capabil ities, and reliance on specialized equipment and expert analysis. In response to these challenges, our study introduces an innovative approach for estimating sc ores on the Modified Clinical Test of Sensory Interaction on Balance (m-CTSIB). Utilizing wearable sensors and advanced machine learning algorithms, we offer an objective, accessible, and efficient method for balance assessment. We collecte d comprehensive movement data from 34 participants under four different sensory conditions using an array of inertial measurement unit (IMU) sensors coupled wit h a specialized system to evaluate ground truth m-CTSIB balance scores for our a nalysis. This data was then preprocessed, and an extensive array of features was extracted for analysis. To estimate the m-CTSIB scores, we applied Multiple Lin ear Regression (MLR), Support Vector Regression (SVR), and XGBOOST algorithms. O ur subject-wise Leave-One-Out and 5-Fold cross-validation analysis demonstrated high accuracy and a strong correlation with ground truth balance scores, validat ing the effectiveness and reliability of our approach. Key insights were gained regarding the significance of specific movements, feature selection, and sensor placement in balance estimation.”
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    Researchers from Delft University of Technology Detail Findings in Robotics (Sca larizing Multi-objective Robot Planning Problems Using Weighted Maximization)

    117-117页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Delft, Netherlands, by N ewsRx journalists, research stated, “When designing a motion planner for autonom ous robots there are usually multiple objectives to be considered. However, a co st function that yields the desired trade-off between objectives is not easily o btainable.” Financial support for this research came from European Union#x0027; s Horizon 2020 Research and Innovation Program.
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    Data on Self-Driving Cars Reported by Researchers at Sri Krishna College of Tech nology (Machine Learning Assisted Autonomous Vehicle In an Iot Environment)

    118-118页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Transportation - Self-Driving Ca rs have been presented. According to news reporting from Tamil Nadu, India, by N ewsRx journalists, research stated, “The article presents the design of a contro lled autonomous vehicle intended to perform specific job functions for impaired people by integrating Machine learning technique in an IoT environment along wit h hand-controlled gestures.” The news correspondents obtained a quote from the research from the Sri Krishna College of Technology, “In this paper, a novel multi-control autonomous vehicle is specially designed to cater the needs of disabled patients and senior citizen s. The operation of this vehicle is fully motorized and gesture-controlled which involves physical implementation of hardware device with software for integrati ng, coding, interfacing and testing.”
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    University of Lausanne Details Findings in Machine Learning (Federated Learning for Mobility Applications)

    118-119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 Ma chine Learning. According to news reporting originating from Lausanne, Switzerla nd, by NewsRx correspondents, research stated, “The increasing concern for priva cy and the use of machine learning on personal data has led researchers to intro duce new approaches to machine learning. Federated learning is one such a novel privacy-preserving machine learning approach that ‘brings code to data,’ unlike traditional machine learning approaches that ‘bring data to code.’ In addition t o improving privacy, federated learning is beneficial for latency-sensitive mobi lity applications by providing local models.” Our news editors obtained a quote from the research from the University of Lausa nne, “To the best of our knowledge, this article is the first ever to survey mob ility-related federated learning solutions, such as traffic-flow prediction, nex t-location prediction, and point-of-interest recommendation. Our categorization is based on three main questions: Why use federated learning? to identify the mo tivation to use federated learning; What problems are being addressed? to examin e problems that surface with federated learning and how they are solved; and How is federated learning implemented? to account for the solutions implemented by the authors surveyed The selected papers are peer reviewed and published in jour nals and conferences; they all adopt federated learning as their core approach. We introduce our conceptual model to characterize federated learning solutions a nd to compare them. In our conceptual model, we define three abstract roles: dat a generator, learner, and aggregator.”
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    Studies from Indian Institute of Technology Roorkee Describe New Findings in Mac hine Translation (Zero-shot Learning Based Crosslingual Sentiment Analysis for Sanskrit Text With Insufficient Labeled Data)

    119-120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 Translation is the subject of a report. According to news reporting originating in Uttar Prade sh, India, by NewsRx journalists, research stated, “In this paper, a novel metho d for analyzing the sentiments portrayed by Sanskrit text has been proposed. San skrit is one of the world’s most ancient languages; however, natural language pr ocessing tasks such as machine translation and sentiment analysis have not been explored for it to the full potential because of the unavailability of sufficien t labeled data.” Financial support for this research came from Human Resource Development (MHRD) INDIA.
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    'Feed-Delivery Container for Automated Dairy Feeding System' in Patent Applicati on Approval Process (USPTO 20240122158)

    120-123页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors Albright, Christopher J. (Hazelhurst, WI, US); Boor, Brandon J. (Athens, WI, US) ; Kappel, James (Junction City, WI, US), filed on October 12, 2023, was made ava ilable online on April 18, 2024, according to news reporting originating from Wa shington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “The present invention relates to automated dair y feeding systems and in particular to an improved feed storage module for auton omous feed delivery robots.
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    'Layout-Aware Background Generating System And Method' in Patent Application App roval Process (USPTO 20240127457)

    123-126页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors AGARWAL, Rishav (Siliguri, IN); BHUTANI, Gunjan (Delhi, IN); JAIN, Sanyam (Delhi , IN), filed on October 13, 2022, was made available online on April 18, 2024, a ccording to news reporting originating from Washington, D.C., by NewsRx correspo ndents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Backgrounds are of a fundamental importance in the composition of any document. Background images can provide an added visual d epth to the document and enhance the look and feel of a document. The cliche tha t a picture is worth a thousand words holds true because backgrounds can complem ent the content in a document by conveying the essence of the content through co lors, designs, or the like. Picking the right background image for a document is essential because the right background images can make the document visually ap pealing and/or allow for better visibility of content in the document. Backgroun d images can also set the tone for the document. For example, a magazine aimed t owards younger children will look better with a colorful background using bright colors such as yellow, blues, red, or the like. The same bright color tones fro m a children’s magazine would not work for a business magazine.”
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    'Target Scene Composition Using Generative Ai' in Patent Application Approval Pr ocess (USPTO 20240127511)

    126-128页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors BRDICZKA, Oliver (San Jose, CA, US); CHICULITA, Alexandru (San Jose, CA, US); CO STIN, Alexandru Vasile (San Jose, CA, US); DARABI, Aliakbar (San Jose, CA, US); ROSCA, Ion (San Jose, CA, US), filed on May 23, 2023, was made available online on April 18, 2024, according to news reporting originating from Washington, D.C. , by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Digital tools allow artists to manifest creativ e efforts in a digital workspace. For example, an artist (or other creator) crea tes a scene in the digital workspace. The scene is a set of concepts, or objects and inter-object relationships, created in a digital workspace resulting from a n artists creative efforts/ideas. In particular, the scene includes a compositio n (or structural arrangement) of visual elements. Sometimes, artists create each of the objects (or other visual elements) of the scene. Alternatively, artists may reuse portions of previously created objects and adapt such objects to a new scene. However, varying artist skill levels result in an inconsistent quality o f a scene and varying degrees of effort, time, and resources (both computing res ources and human resources) required to create the scene. Moreover, adapting pre viously created objects to new scenes can be significantly time consuming.”
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