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    Data on Machine Learning Reported by Researchers at Massachusetts Institute of T echnology (The Importance of Generalizability In Machine Learning for Systems)

    58-58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 Machine Learning. According to news reporting from Cambridge, Massachusetts, by NewsRx journalists, research stated, “Using machine learning (ML) to tackle comp uter systems tasks is gaining popularity. One of the shortcomings of such ML-bas ed approaches is the inability of models to generalize to out-of-distribution da ta i.e., data whose distribution is different than the training dataset.”

    University Hospital Vall d’Hebron Reports Findings in Prostatectomy (State of ar t of robotic prostatectomy: How do we do in Catalonia, Spain)

    59-59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 Surgery - Prostatectom y is the subject of a report. According to news reporting originating in Barcelo na, Spain, by NewsRx journalists, research stated, “Roboticassisted laparoscopi c prostatectomy (PLAR) seems to improve functional outcomes, however there is no t a consensus of a standard procedure. The aim of this study was to identify the PLAR ‘state of art’ in Catalonia, Spain.”

    Findings on Machine Learning Reported by Investigators at University of Tasmania (Improvement of Pasture Biomass Modelling Using High-resolution Satellite Image ry and Machine Learning)

    60-61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 originating from Launceston, Australia , by NewsRx correspondents, research stated, “Robust quantification of vegetativ e biomass using satellite imagery using one or more forms of machine learning (M L) has hitherto been hindered by the extent and quality of training data. Here, we showcase how ML predictive demonstrably improves when additional training dat a is used.” Funders for this research include Australian Government’s Future Drought Fund, U niversity of Tasmania.

    Researcher at School of Civil Engineering Releases New Data on Seismic Engineeri ng (Applying Machine Learning to Earthquake Engineering: A Scientometric Analysi s of World Research)

    60-60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 seismic engineering h ave been presented. According to news reporting from the School of Civil Enginee ring by NewsRx journalists, research stated, “Machine Learning (ML) has develope d rapidly in recent years, achieving exciting advancements in applications such as data mining, computer vision, natural language processing, data feature extra ction, and prediction.” Financial supporters for this research include National Natural Science Foundati on of China; Shaanxi Province Science And Technology Plan Project.

    Hunan University Researcher Provides New Study Findings on Robotics (Crystalliza tion-Inspired Design and Modeling of Self-Assembly Lattice-Formation Swarm Robot ics)

    62-62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 out of Changsha, People’s Republic of China, by NewsRx editors, research stated, “Self-assembly formation is a key research topic for realizing practical applications in swarm robotics.” Funders for this research include National Natural Science Foundation of China; Full-time Introduction of National High-level Innovation Talents Research Projec t of Hebei Province.

    University Paris-Saclay Reports Findings in Artificial Intelligence (Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligen ce-Based Medical Devices: Scoping Literature Review)

    63-64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 reporting out of Orsay, France, by NewsRx editors, research stated, “Artificial intelligence (AI)- based medical devices have garnered attention due to their ability to revolutionize medicine. Their health technology assessment framework is lacking.”

    Research Results from Hong Kong Polytechnic University Update Understanding of R obotics [AI-Driven Dim-Light Adaptive Camera (DimCam) for Lun ar Robots]

    64-65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 robotics is the subjec t of a new report. According to news reporting originating from Hong Kong, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “The past deca de has been a boom in lunar exploration. China, India, Japan and other countries have successfully landed landers or rovers on the lunar surface (Wu et al., 201 4, 2018, 2020; Prasad et al., 2023). Future missions to explore the Moon are foc using on the lunar south pole (Pena-Asensio et al., 2024).”

    Western University Reports Findings in Artificial Intelligence (A Scoping Review of Artificial Intelligence Detection of Voice Pathology: Challenges and Opportu nities)

    65-66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 London, Canada, by NewsRx correspondents, research stated, “Survey the current literature on ar tificial intelligence (AI) applications for detecting and classifying vocal path ology using voice recordings, and identify challenges and opportunities for adva ncing the field forward. PubMed, EMBASE, CINAHL, and Scopus databases.”

    Patent Issued for Iteratively trained machine learning models for evaluations of internal consistency (USPTO 11977603)

    66-69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: “Categorizing a large number of items can be tim e-consuming, tedious, and internally inconsistent. Frequently, assigning categor ies to items involves judgment calls which may be error prone or subject to shif ts in perspective. For example, if 10,000 tasks are to be categorized according to 15 task types, an incorrect or not preferred category may be assigned to a ta sk as a result of, for example, a misunderstanding or misinterpretation of the t ask or the available categories. Often, there may be inconsistencies in how item s are categorized if, for example, different persons are categorizing the tasks and each interprets items or categories slightly differently, if the same person views items slightly differently on different days, and/or if a person’s interp retation of tasks and categories evolves during the process. A person’s categori zation of his or her one thousandth item may be more informed, performed with a different degree of care, and/or approached differently from the person’s approa ch in categorizing his or her tenth or hundredth item, such that the same item m ight be categorized one way if encountered at one point in time, but differently if encountered by the same person at another point in time. Moreover, reviewing the quality of categorizations also tends to be time consuming and inconsistent . For example, different persons checking and rechecking prior categorizations a t different times and with different perspectives may catch some obvious errors or otherwise refine categories for certain items, but may do so inconsistently, as the review may also be performed by multiple people with varying and/or evolv ing perspectives and approaches over potentially many days, weeks, or months. So metimes, an original categorization of an item may be preferable over a recatego rization during quality review by the same person (but, e.g., on a different day ) or by another person (who may, e.g., have a different perspective or approach) .”

    Patent Issued for Systems and methods for determining a likelihood of a lead con version event (USPTO 11977996)

    69-71页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “With the advent of the Internet and its ease of use to resear ch and book travel, travel agencies had to change their model to successfully co mpete. In a traditional setting, customers would visit retail storefront or “bri ck and mortar” travel agency locations and make travel plans while looking at br ochures and sitting face-to-face with a travel agent. As the Internet became mor e and more prevalent in the travel industry, storefront locations began closing and many travel agents were faced with a choice-find a new career or open their own home-based travel agency. Many home-based travel agents own and operate thei r own business and use a host agency that may provide benefits such as higher co mmission levels from suppliers, support and technology.