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 Amann, Rochelle M. (Mendota Heights, MN, US); Geisz, Carl M. (Edina, MN, US), fi led on February 20, 2024, was made available online on June 13, 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: “A number of patient surgeries are now being per formed with robotic assistance. The benefits of robotic-assisted surgery are man y. For example, by employing robotic systems during surgery, surgeons may experi ence better visualization, dexterity, precision and comfort relative to performi ng conventional, non-robot assisted surgery. The benefits of robotic-assisted su rgery also extend to the patients undergoing the surgery. As an example, patient s may experience fewer complications after undergoing robotic-assisted surgery a s compared to patients who did not have robot-assisted surgery.
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 based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “In recent years, the need for Machine Translation (MT) has grown, especially fo r translating legal contracts between languages like Arabic and English. “This study primarily investigates whether Google Translator can adequately repl ace human translation for legal documents. Utilizing a widely popular free web-b ased tool, Google Translate, the research method involved translating six segmen ts from various legal contracts into Arabic and assessing the translations for l exical and syntactic accuracy. “The findings show that although Google Translate can quickly produce English-Ar abic translations, it falls short compared to professional translators, especial ly with complex legal terms and syntax. Errors can be categorized into: polysemy , homonymy, legal doublets, and adverbs at the linguistic level, and morphologic al parsing, concord, and modality at the syntactic level.
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 based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “In this short communication, a concept has been presented to model geographical data to predict future temperature of Tabuk, region. Machine learning has been applied to the weather station data to develop a prediction model. “The preliminary results are promising and encouraging and are envisaging to fur ther this research towards the determination of unknown temperature rise in the region.”
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