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    Palmerston North Hospital Reports Findings in Personalized Medicine (Leveraging machine learning for early recurrence prediction in hepatocellular carcinoma: A step towards precision medicine)

    95-96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 Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting ou t of Palmerston, New Zealand, by NewsRx editors, research stated, “The high rate of early recurrence in hepatocellular carcinoma (HCC) post curative surgical in tervention poses a substantial clinical hurdle, impacting patient outcomes and c omplicating postoperative management. The advent of machine learning provides a unique opportunity to harness vast datasets, identifying subtle patterns and fac tors that elude conventional prognostic methods.”

    Report Summarizes Machine Learning Study Findings from University of Wisconsin M adison (Machine Learning Systems are Bloated and Vulnerable)

    96-97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 ar tificial intelligence. According to news originating from Madison, Wisconsin, by NewsRx correspondents, research stated, “Today’s software is bloated with both code and features that are not used by most users.” The news reporters obtained a quote from the research from University of Wiscons in Madison: “This bloat is prevalent across the entire software stack, from oper ating systems and applications to containers. Containers are lightweight virtual ization technologies used to package code and dependencies, providing portable, reproducible and isolated environments. For their ease of use, data scientists o ften utilize machine learning containers to simplify their workflow. However, th is convenience comes at a cost: containers are often bloated with unnecessary co de and dependencies, resulting in very large sizes. In this paper, we analyze an d quantify bloat in machine learning containers. We develop MMLB, a framework fo r analyzing bloat in software systems, focusing on machine learning containers.”

    National Institute of Technology Hamirpur Researcher Adds New Data to Research in Machine Learning (Optimized Ensemble Machine Learning Approach for Emotion Det ection from Thermal Images)

    97-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of Hamirpur, India, by N ewsRx editors, research stated, “Emotions indicate the feelings of the individua l which are linked with personal experiences, moods, and affective states.” The news editors obtained a quote from the research from National Institute of T echnology Hamirpur: “Detection of emotion can be helpful in many fields like mai ntaining a patient’s psychological well-being, surveillance, driver monitoring, etc. In this paper, an effective machine learning approach has been put forth fo r emotion detection where an ensemble of three out of five best-performing class ifiers has been formed to enhance the classification accuracy. Two deep learning models (AlexNet and ResNet) have been optimally combined with [Formula: see text]-nearest neighbor (KNN). The optimal weight s for ensemble weighted averaging of classifiers have been computed with aid of particle swarm optimization (PSO) and genetic algorithm (GA) optimization. The d eveloped framework has been tested on two publicly available datasets. An overal l accuracy of above 95% has been achieved on the testing set for b oth datasets.”

    University of Maribor Researcher Releases New Data on Robotics (The Impact of Ch anging Collaborative Workplace Parameters on Assembly Operation Efficiency)

    98-98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 Maribor, Slovenia, by NewsR x correspondents, research stated, “Human-robot collaborative systems bring seve ral benefits in using human and robot capabilities simultaneously.” Funders for this research include Slovenian Research Agency. The news correspondents obtained a quote from the research from University of Ma ribor: “One of the critical questions is the impact of these systems on producti on process efficiency. The search for high-level efficiency is severely dependen t on collaborative robot characteristics and motion parameters, and the ability of humans to adjust to changing circumstances. Therefore, our research analyzes the effect of the changing collaborative robot motion parameters, acoustic param eters and visual factors in a specific assembly operation, where efficiency is m easured through operation times.”

    New Artificial Intelligence Research from Lund University Discussed (Stabilizing translucencies: Governing AI transparency by standardization)

    98-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Lund, S weden, by NewsRx correspondents, research stated, “Standards are put forward as important means to turn the ideals of ethical and responsible artificial intelli gence into practice. One principle targeted for standardization is transparency. ” Funders for this research include Vetenskapsradet.

    Study Data from University of Coimbra Update Knowledge of Robotics (A Q-learning approach to the continuous control problem of robot inverted pendulum balancing )

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news reporting from Coimbra, Portugal, by NewsRx journ alists, research stated, “This study evaluates the application of a discrete act ion space reinforcement learning method (Q-learning) to the continuous control p roblem of robot inverted pendulum balancing.” Funders for this research include Fundacao Para A Ciencia E A Tecnologia. The news reporters obtained a quote from the research from University of Coimbra : “To speed up the learning process and to overcome technical difficulties relat ed to the direct learning on the real robotic system, the learning phase is perf ormed in simulation environment. A mathematical model of the system dynamics is implemented, deduced by curve fitting on data acquired from the real system. The proposed approach demonstrated feasible, featuring its application on a real wo rld robot that learned to balance an inverted pendulum.”

    Researchers from Cebu Technological University Publish Findings in Machine Learn ing [Application of Machine Learning Techniques in Energy Pow er Production: A Publication Trend and Bibliometrics Analysis (2012-2023)]

    100-101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 Cebu Technolog ical University by NewsRx editors, research stated, “An analysis of publishing t rends and bbibliographic analysis data was conducted to critically analyse the r esearch landscape regarding the utilisation of machine learning techniques in th e field of energy and power production (EPP). The Elsevier Scopus database and t he PRISMA methodology were utilised to locate and evaluate the published papers. ”

    Patent Application Titled 'Age-Sensitive Automatic Speech Recognition' Published Online (USPTO 20240062748)

    101-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Aher, Ankur Anil (Kalyan, IN); Robert Jose, Jeffry Copps (Chennai, IN), fi led on October 30, 2023, was made available online on February 22, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “This disclosure is directed to receiving a query from a user and providing a reply that is appropriate for an age group of the user. Specific ally, techniques are disclosed for modifying a term in a received query with a r eplacement term based on a determination the term in the context of the query is inappropriate for a particular age group of the user.”

    Patent Issued for Content analytics as part of content creation (USPTO 11907508)

    105-108页
    查看更多>>摘要:From the background information supplied by the inventors, news correspondents o btained the following quote: “Content creation services are usable to create a w ide range of content. In a first example, digital content is created for use in a variety of digital and online scenarios, such as a digital image, digital audi o, digital media and so forth that are utilized to implement applications, webpa ges, etc. In a second example, physical content is used in physical environments “in the real world,” such as banners, posters, physical documents, books, and s o forth.

    'Systems And Methods For Quality Of Experience Computation' in Patent Applicatio n Approval Process (USPTO 20240064189)

    108-111页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “This disclosure is directed to systems and meth ods for verifying quality of experience of a media stream. In particular, system s and methods are provided for using an autoencoder to generate neural features (e.g., light weight neural features) of a frame at a server and neural features of a transmitted version of the frame at a client, such that the comparison of t he neural features is used to compute quality of experience metrics.”