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    'Image Processing Method And Electronic Device' in Patent Ap- plication Approval Process (USPTO 20240046504)

    137-141页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors CHEN, Shaojun (Shanghai, CN); DING, Jiong (Shanghai, CN); LIN, Yun (Shenzhen, CN); PI, Zhiming (Shanghai, CN); XIONG, Zhangliang (Nanjing, CN), filed on December 2, 2021, was made available online on February 8, 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 information supplied by the inventors: “When a user takes a photo with an electronic device such as a mobile phone or a tablet computer, a moving object such as a passerby or a vehicle that passes through a photographing region is usually captured. However, the user does not want to retain the moving object in the photo in most cases. To meet a user requirement, the electronic device may provide a function of eliminating the moving object in the photo.
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    Patent Issued for Scan-free barcode reading (USPTO 11893786)

    142-145页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Calder, Michael R. (Westborough, MA, US), Preiswerk, Frank (Brooklyn, NY, US), Shariati, Armon (Cambridge, MA, US), Stallman, Timothy (Groton, MA, US), filed on August 17, 2021, was published online on February 6, 2024. The patent’s assignee for patent number 11893786 is Amazon Technologies Inc. (Seattle, Washington, United States). News editors obtained the following quote from the background information supplied by the inventors: “The present invention generally relates to camera-based scanning systems, and more specifically, to a system for reading structured identifiers without an explicit scan of the structured identifier by an optical scanner.
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    Researchers Submit Patent Application, 'Robot Control Method And Apparatus, Electronic Device, Storage Medium, And Robot', for Approval (USPTO 20240042599)

    145-148页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Washington, D.C., NewsRx journalists report that a patent application by the inventor XU, Zhe (Beijing, CN), filed on December 22, 2022, was made available online on February 8, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information supplied by the inventors: “For a biped robot, a quadruped robot, a hexapod robot, and other types of robots, when the robots walk at low speeds or in place, walking at relatively low step frequencies can save energy and reduce noise. However, when walking at the low frequency, the robot cannot reach a relatively high walking speed due to limitations of swing speeds and swing positions of legs. Therefore, when walking at a high speed, the robot needs to walk at a relatively high step frequency to reach the relatively high walking speed.”
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    'Drone-based Vegetation Assessment' in Patent Application Ap- proval Process (USPTO 20240046626)

    148-151页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors Brown, Brendan V. (Maitland, FL, US); Reicks, Andrew C. (Kansas City, MO, US), filed on August 3, 2022, was made available online on February 8, 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 information supplied by the inventors: “Machine-learning models are statistical models that can be trained to identify patterns or generate new information. Machine-learning models are trained on data representing a ground truth.”
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    Patent Issued for Apparatus and methods for predicting state of visibility for a road object (USPTO 11892303)

    151-154页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Beaurepaire, Jerome (Berlin, DE), Stenneth, Leon (Chicago, IL, US), Young, Jeremy (Chicago, IL, US), filed on May 26, 2021, was published online on February 6, 2024. The patent’s assignee for patent number 11892303 is HERE Global B.V. (Eindhoven, Netherlands). News editors obtained the following quote from the background information supplied by the inventors: “Visibility is critical for operating a vehicle. An operator of the vehicle readily identifies various objects of the road in which the vehicle is traversing. Typically, visibility of road objects, such as road signs, may be adversely impacted by severe weather conditions, thereby rendering a potential hazard for the vehicle and the environment in which the vehicle is traversing. To remedy this issue, the operator of the vehicle may refer to a map provided by a built-in navigation system or a navigation application installed on a mobile device to determine the necessary information of which the road object is designed to convey. However, acquiring such information only after discovering that the visibility of the road object has been obscured may not provide ample amount of time for the operator to process and react to that information. Also, reliance on sensors in addition to or in alternative to map data may be required or desired in various situations. Therefore, there is a need in the art for predicting and informing visibility of a road object.
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    Patent Issued for Systems, apparatuses, and methods for bias de- termination and value calculation of parameters of a robot (USPTO 11892318)

    154-157页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent by the inventors Bathala, Girish (San Diego, CA, US), Sinyavskiy, Oleg (San Diego, CA, US), filed on September 26, 2022, was published online on February 6, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11892318 is assigned to Brain Corporation (San Diego, California, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: “Technological Field “The present application relates generally to robotics, and more specifically to systems, apparatuses, and methods for bias determination and value calculation of parameters of a robot.
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    'Gesture Training For Skill Adaptation And Accessibility' in Patent Application Approval Process (USPTO 20240045508)

    157-160页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors Arroyo Palacios, Jorge (San Mateo, CA, US); Azmandian, Mahdi (San Mateo, CA, US); Madhavan, Ravi Coimbatore (San Mateo, CA, US); Osman, Steven (San Mateo, CA, US); Rudi, Olga (San Mateo, CA, US), filed on August 4, 2022, was made available online on February 8, 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.
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    Patent Application Titled 'System And Method For Person- alized Cartoon Image Generation' Published Online (USPTO 20240046536)

    160-164页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Prasad, Rahul (BANGALORE, IN); RASTOGI, MUDIT (RAEBARELI, IN); SHARMA, ABHISHEK (NOIDA, IN), filed on November 11, 2022, was made available online on February 8, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “ “Technical Field “The embodiments herein are generally related to a field of data processing. The embodiments herein are particularly related to training a neural network to generate cartoon images based on user images. The embodiments herein are more particularly related to a system and method for personalized cartoon image generation, with customized stickers with various expressions.
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    Patent Issued for Complex elastic unit for maximizing space uti- lization and elastic energy storage within limited space and vari- able gravity compensation module with the complex elastic unit and curved lever (USPTO 11890752)

    165-167页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent by the inventors Kim, Jehyeok (Gyeonggi do, KR), Lee, Giuk (Gyeonggi do, KR), Moon, Jun Young (Seoul, KR), Ryu, Jae Wook (Seoul, KR), filed on April 27, 2021, was published online on February 6, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11890752 is assigned to Chung Ang University Industry Academic Cooperation Foun- dation (Seoul, South Korea). The following quote was obtained by the news editors from the background information supplied by the inventors: “Technical Field “The present invention relates to a complex elastic unit for maximizing space utilization and elastic energy storage with a limited space and a variable gravity compensation module with the complex elastic unit and a curved lever.
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    A learnable transition from low temperature to high temperature proteins with neural machine translation

    167-167页
    查看更多>>摘要：2024 FEB 27 (NewsRx) – 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 biorxiv.org: “This work presents Neural Optimization for Melting-temperature Enabled by Leveraging Translation (NOMELT), a novel approach for designing and ranking high-temperature stable proteins using neural machine translation. The model, trained on over 4 million protein homologous pairs from organisms adapted to different temperatures, demonstrates promising capability in targeting thermal stability. “A designed variant of the Drosophila melanogaster Engrailed Homeodomain shows increased stability at high temperatures, as validated by estimators and molecular dynamics simulations.
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