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    New Machine Learning Findings from Southwest Jiaotong University Described (Inte rpretable Machine Learning Method for Modelling Fatigue Short Crack Growth Behav iour)

    92-93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 Machine Learning. According to news reporting originating from Chengdu, People's Republ ic of China, by NewsRx correspondents, research stated, "Interpretable machine l earning (ML) has become a popular tool in the field of science and engineering. This research proposed a domain knowledge combined with ML method to increase in terpretability while ensuring the accuracy of ML models and verifies the general ity of the ML approach in fatigue crack growth (FCG) modelling." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Sichuan Science and Technology Program, National Railway Administration of the P.R.C, I ndependent Research Project of State Key Laboratory of Traction Power, China Sch olarship Council.
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    Bern University Hospital Reports Findings in Artificial Intelligence (Towards qu ality management of artificial intelligence systems for medical applications)

    93-94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 report. According to news originating from Bern, Switzerla nd, by NewsRx correspondents, research stated, "The use of artificial intelligen ce systems in clinical routine is still hampered by the necessity of a medical d evice certification and/or by the difficulty of implementing these systems in a clinic's quality management system. In this context, the key questions for a use r are how to ensure robust model predictions and how to appraise the quality of a model's results on a regular basis." Our news journalists obtained a quote from the research from Bern University Hos pital, "In this paper we discuss some conceptual foundation for a clinical imple mentation of a machine learning system and argue that both vendors and users sho uld take certain responsibilities, as is already common practice for high-risk m edical equipment. We propose the methodology from AAPM Task Group 100 report No. 283 as a conceptual framework for developing risk-driven a quality management p rogram for a clinical process that encompasses a machine learning system. This i s illustrated with an example of a clinical workflow. Our analysis shows how the risk evaluation in this framework can accommodate artificial intelligence based systems independently of their robustness evaluation or the user's in-house exp ertise."
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    Xihua University Researchers Report on Findings in Machine Learning (Intelligent Car Cockpit Comfort Evaluation Model Based on SVM)

    94-95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 artificial intell igence are discussed in a new report. According to news originating from Chengdu , People's Republic of China, by NewsRx correspondents, research stated, "With t he popularization of intelligent cars, users' understanding of the value of cars gradually changes from a travel tool to a ‘third living space', and cabin comfo rt is becoming a criterion for evaluating the goodness of cars." Financial supporters for this research include Xihua University Talent Introduct ion Program; Sichuan Province Innovation Training Project.
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    Study Data from Endicott College Update Knowledge of Machine Learning (A Categor y Theory Approach To the Semiotics of Machine Learning)

    95-96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 Machine Learning are pre sented in a new report. According to news reporting out of Beverly, Massachusett s, by NewsRx editors, research stated, "The successes of Machine Learning, and i n particular of Deep Learning systems, have led to a reformulation of the Artifi cial Intelligence agenda. One of the pressing issues in the field is the extract ion of knowledge out of the behavior of those systems." Our news journalists obtained a quote from the research from Endicott College, " In this paper we propose a semiotic analysis of that behavior, based on the form al model of learners. We analyze the topos-theoretic properties that ensure the logical expressivity of the knowledge embodied by learners." According to the news editors, the research concluded: "Furthermore, we show tha t there exists an ideal universal learner, able to interpret the knowledge gaine d about any possible function as well as about itself, which can be monotonicall y approximated by networks of increasing size." This research has been peer-reviewed.
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    Southern University of Science and Technology (SUSTech) Researchers Detail Resea rch in Machine Learning (Integrated behavioural analysis of FRP-confined circula r columns using FEM and machine learning)

    96-96页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news reporting from Shenzhen, People's Rep ublic of China, by NewsRx journalists, research stated, "This study investigates the structural behaviour of double-skin columns, introducing novel double-skin double filled tubular (DSDFT) columns, which utilise double steel tubes and conc rete to enhance the load-carrying capacity and ductility beyond conventional dou ble-skin hollow tubular (DSHT) columns, employing a combination of finite elemen t model (FEM) and machine learning (ML) techniques. A total of 48 columns (DSHT+ DSDFT) were created to examine the impact of various parameters, such as double steel tube configurations, thickness of fibre-reinforced polymer (FRP) layer, ty pe of FRP material, and steel tube diameter, on the load-carrying capacity and d uctility of the columns." Our news journalists obtained a quote from the research from Southern University of Science and Technology (SUSTech): "The results were validated against the ex perimental findings to ensure their accuracy. Key findings highlight the advanta ges of the DSDFT configuration. Compared to the DSHT columns, the DSDFT columns exhibited remarkable 19.54 % to 101.21 % increases i n the load-carrying capacity, demonstrating improved ductility and load-bearing capabilities. Thicker FRP layers enhanced the load-carrying capacity up to 15 % , however at the expense of the reduced axial strain. It was also observed that glass FRP wrapping displayed 25 % superior ultimate axial strain t han aramid FRP wrapping. Four different ML models were assessed to predict the a xial load-carrying capacity of the columns, with long short-term memory (LSTM) a nd bidirectional LSTM models emerging as superior choices indicating exceptional predictive capabilities. This interdisciplinary approach offers valuable insigh ts into designing and optimising confined column systems."
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    Patent Issued for Collaborative text detection and text recognition (USPTO 11907 977)

    97-101页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventors Fabiani, Lino (San Francisco, CA, US), Khamkar, Susheel (Pleasanton, CA, US), Villanueva, Edwin (San Jose, CA, US) , filed on October 24, 2022, was published online on February 20, 2024. The patent's assignee for patent number 11907977 is Zaru Inc. (Pleasanton, Calif ornia, United States). News editors obtained the following quote from the background information suppli ed by the inventors: "Optical character recognition (OCR) is a technique in reco gnizing either hand-written characters or scanned characters. However, most of t he existing OCR systems, such as those provided by Google, Microsoft, and the li ke, simply allow for uploading an image file for OCR and downloading the recogni tion result. In the situation where thousands of vendors with unique document la youts require accurate text recognition and segmentation, such as in the restaur ant and hospitality industry, conventional text recognition approaches may fail to accurately recognize text in document fields (e.g., quantity field or a descr iption field), tables, columns, images, and within other document layouts.
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    Studies from Capital University of Economics and Business Have Provided New Data on Machine Learning (Identifying Factors Via Automatic Debiased Machine Learnin g)

    97-97页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Beijing, People's Re public of China, by NewsRx correspondents, research stated, "Identifying risk fa ctors that have significant explanatory power for the cross-sectional asset retu rns is fundamental in asset pricing. We adopt a novel automatic debiased machine learning (ADML) method proposed by Chernozhukov, Newey, and Singh (2022) to rob ustly estimate partial pricing effect of a certain factor controlling for a larg e number of confounding factors under a nonlinear stochastic discount factor (SD F) assumption." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Beijing Municipal Social Science Foundation, Public Computin g Cloud at Renmin University of China. Our news journalists obtained a quote from the research from the Capital Univers ity of Economics and Business, "The ADML resolves biased estimation, non-robustn ess, and overfitting issues that are common to traditional machine learning appr oaches. We find that the most significant factors selected by the ADML outperfor m the Fama-French sparse factors and factors identified via the double-selection LASSO method under a linear factor model assumption. Out of a high-dimensional zoo of US stock market factors commonly tested in the finance literature, we ide ntify approximately 30 to 50 factors having significant but declining pricing po wer in explaining the cross-section of stock returns."
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    University Teknologi Malaysia Researchers Publish New Study Findings on Machine Learning (Simplified Novel Approach for Accurate Employee Churn Categorization u sing MCDM, De-Pareto Principle Approach, and Machine Learning)

    101-102页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on artificial in telligence. According to news originating from the University Teknologi Malaysia by NewsRx correspondents, research stated, "Churning of employees from organiza tions is a serious problem. Turnover or churn of employees within an organizatio n needs to be solved since it has negative impact on the organization." The news reporters obtained a quote from the research from University Teknologi Malaysia: "Manual detection of employee churn is quite difficult, so machine lea rning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, o nly one study looks into the categorization of employees up to date. A novel mul ti-criterion decision-making approach (MCDM) coupled with DE-PARETO principle ha s been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-st age MCDM scheme for categorizing employees. In 1st stage, analytic hierarchy pro cess (AHP) has been utilized for assigning relative weights for employee accompl ishment factors. In second stage, TOPSIS has been used for expressing significan ce of employees for performing employee categorization. A simple 20-30-50 rule i n DE PARETO principle has been applied to categorize employees into three major groups namely enthusiastic, behavioral and distressed employees."
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    Patent Issued for Automatic gemstone polishing robot (USPTO 11904433)

    102-105页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventor Sytenko, Ivan Nikolayevich (Moscow, RU), filed on August 11, 2018, was published online on February 20, 2024. The patent's assignee for patent number 11904433 is Freedom Automation Solutions LLP (Surat, India). News editors obtained the following quote from the background information suppli ed by the inventors: "Background description includes information that may be us eful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claime d invention, or that any publication specifically or implicitly referenced is pr ior art. "Gemstones, such as diamonds or turquoise, need to be cut and polished for place ment in jewellery. The most precious gemstone, the diamond, is a colourless mine ral made of carbon crystallized in the isometric system as octahedrons, dodecahe drons, and cubes. Approximately two hundred and fifty tons of earth needs to be moved to produce a one carat polished diamond. It requires on average a 3.5 cara t rough diamond to produce a 1 carat polished diamond.
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    "Interactive Application Widgets Rendered With Assistant Content" in Patent Appl ication Approval Process (USPTO 20240061694)

    105-110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 Cherepanov, Evgeny (Adliswil, CH); Kapralova, Olga (Bern, CH); Look, Wendy (Zuri ch, CH); Reutov, Mikhail (Zug, CH); Vallejo, Dan (New York, NY, US), filed on Au gust 18, 2023, was made available online on February 22, 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: "Humans may engage in human-to-computer dialogs with interactive software applications referred to herein as "automated assistan ts" (also referred to as "digital agents," "chatbots," "interactive personal ass istants," "intelligent personal assistants," "assistant applications," "conversa tional agents," etc.). For example, humans (which when they interact with automa ted assistants may be referred to as "users") may provide commands and/or reques ts to an automated assistant using spoken natural language input (i.e., utteranc es), which may in some cases be converted into text and then processed, and/or b y providing textual (e.g., typed) natural language input.
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