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    Patent Issued for Transmission, and related systems and methods (USPTO 11892288)

    138-141页
    查看更多>>摘要：According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Abate, Andy (Albany, OR, US), Domres, Ryan (Albany, OR, US), Thrush, Dylan (Corvallis, OR, US), filed on August 10, 2020, was published online on February 6, 2024. The assignee for this patent, patent number 11892288, is Agility Robotics Inc. (Tangent, Oregon, United States). Reporters obtained the following quote from the background information supplied by the inventors: "There are many devices that use a transmission to control the application of power generated by a motor. A car, for example, uses a transmission to convert the power of the car's motor into motion that provides the car's wheels a desired torque and speed to propel the car in a variety of different situations. For another example, a robot may use a transmission in an actuator to amplify the torque of a motor while reducing its speed for connection to an end-effector. For robots, it is often important to also know the position and/or location of an end-effector of the robot so that one can appropriately direct the actuator to hold the end-effector in a position and/or at a desired location, or to apply a desired force.
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    Patent Issued for Method, robot and system for interacting with actors or item recipients (USPTO 11892848)

    142-145页
    查看更多>>摘要：According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventor Zimmermann, Markus (Helsinki, FI), filed on May 12, 2020, was published online on February 6, 2024. The assignee for this patent, patent number 11892848, is Starship Technologies Ou (Tallinn, Estonia). Reporters obtained the following quote from the background information supplied by the inventors: "The use of mobile robots in various areas of daily life is increasing rapidly. Autonomous or partially autonomous robots are navigating both indoors and outdoors. The encounter with other actors results in a range of reactions which may lead to obstruction and/or damage of the mobile robot and may delay the completion of the mobile robot's task or completely prevent the successful execution. "In order to increase the efficiency of the mobile robot and minimize waiting times for customers and/or users, the robot may need to interact with other actors (such as traffic participants) explicitly and implicitly. These actors can comprise vehicles, bicycles, pedestrians, animals and the like.
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    Researchers Submit Patent Application, 'Robot Joint Having Dynamic Sealing Structure And Quadruped Robot Applying The Same', for Approval (USPTO 20240042627)

    145-149页
    查看更多>>摘要：From Washington, D.C., NewsRx journalists report that a patent application by the inventors WANG, Xingxing (Hangzhou City, CN); YANG, Zhiyu (Hangzhou City, CN), filed on November 30, 2021, 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: "At present, robots can replace humans to perform tasks such as security inspection, and field rescue and exploration. When performing these tasks, robots inevitably encounter harsh environments with dust, rainwater, etc. In this case, dust and rainwater may easily enter the joints of the robots, causing joint wear and even inability to work properly." As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors' summary information for this patent application: "SUMMARY: "Technical Problem "If the existing sealing ring is directly assembled, the frictional resistance is large and the service life is short, which will affect the normal movement of the joint. Therefore, there is an urgent need for a joint sealing structure for robots to effectively prevent dust or rainwater from entering the joints from the external environment, without affecting the normal movement of the joints.
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    'Speech Image Providing Method And Computing Device For Performing The Same' in Patent Application Approval Process (USPTO 20240046951)

    149-153页
    查看更多>>摘要：A patent application by the inventor KIM, Doo Hyun (Gyeonggi-do, KR), filed on July 9, 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: " "Embodiments of the present disclosure relate to a technology for providing a speech image. "With the recent technological development in the field of artificial intelligence, various types of content are being generated based on artificial intelligence (AI) technology. For example, there is a case in which, when there is a voice message to be transmitted, a speech image is generated as if a famous person (e.g., a president) speaks the voice message in order to draw people's attention. This is achieved by generating mouth shapes or the like to fit a specific message, just like a famous person speaking the specific message in an image of the famous person. In addition, technologies that allow artificial intelligence (AI) to conduct conversations with humans (e.g., video calls, or the like) are being studied. In the technologies, synthesizing the speech image takes time and requires a lot of data, and thus it is difficult to generate an image of a conversation (or an image of speech) in real time, which may be a problem."
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    'Automatic Implementation Of A Setting For A Feature Of A Device Using Machine Learning' in Patent Application Approval Process (USPTO 20240048652)

    153-156页
    查看更多>>摘要：A patent application by the inventors GARODIA, Vikash (Hyderabad, IN); GOTTAM, Malathi (Guntur, IN); GUJJULA, Vishnu Priyanka (Hyderabad, IN); KURAPATY, Rajeshwar (Hyderabad, IN); MEHTA, Uma (Hyderabad, IN), filed on August 2, 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: "A user device (e.g., a smart phone) may automatically implement a setting for one or more features based on detecting a change in a characteristic associated with the user device (e.g., a characteristic relating to a physical environment of the user device or a characteristic relating to a condition of the user device). For example, based on detecting a change to a level of light in the physical environment of the user device, the user device may automatically adjust a setting for a brightness of a display of the user device."
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    Patent Issued for Control device and method for item verification (USPTO 11891247)

    156-159页
    查看更多>>摘要：From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Deacon, Graham (Hatfield, GB), Makris, Christos (Harfield, GB), Pedro, Osemwaro Jeremiah (Hatfield, GB), filed on May 29, 2019, was published online on February 6, 2024.The patent's assignee for patent number 11891247 is Ocado Innovation Limited (Hatfield, United Kingdom). News editors obtained the following quote from the background information supplied by the inventors: "In the field of picking systems a robot system is typically used to selectively grasp items in a first container and transport them to a second container. For example, FIG. 1 shows a robot system 200 comprising an end effector 201, for example a suction cup end effector. The robot system is arranged to transfer an item, such as a cuboid item 301, a first cylindrical item 302 and/or a second cylindrical item 303 from a first container 300 to a second container 400. Typically, information about the contents of the first container 300 are known to the picking system from other automated processes. However, picking systems are required to verify which item has been picked before it is placed in the second container 400 to ensure that no incorrect items are transferred into the second container 400 due to imperfect information about the first container 300. For example, if the cuboid item 301 was mistakenly placed in the first container 300 whilst the second container 400 is required to only contain cylindrical items 302 and 303 but not the cuboid item 301 then the picking system must make a verification about which item has been picked.
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    Researchers Submit Patent Application, 'Robotic Meal Preparation System', for Approval (USPTO 20240041252)

    159-163页
    查看更多>>摘要：From Washington, D.C., NewsRx journalists report that a patent application by the inventors BROWN, Samuel (London, GB); MULLER, Joe (London, GB); MULLER, Mike (London, GB); NICOLAI, Orfeo (London, GB); WATT, Simon (London, GB); WRAGG, Barney (London, GB), filed on December 1, 2021, 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:"This invention relates to a robotic meal preparation system. The system can be used to automate meal preparation, for example in dark kitchens, restaurants, canteens and retail stores.
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    Patent Application Titled 'Harmful Url Detection Method' Published Online (USPTO 20240048589)

    164-168页
    查看更多>>摘要：According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Hong, Ki Heon (Daejeon, KR); KANG, Pill Sang (Daejeon, KR); Kim, Ji Hun (Daejeon, KR), filed on September 20, 2023, 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: " "Field "The present disclosure relates to a harmful URL detection method, wherein in a case where entry is requested to a web page to which access is sought from a user terminal, an access target URL corresponding to the web page is compared with a pre-stored whitelist, so that when an identical domain exists, the access target URL is excluded from a detection target, and when the identical domain does not exist, whether the access target URL refers to a previously accessed web page or not is checked; when the web page was previously accessed, the access target URL is excluded from the detection target, and when the web page was not previously accessed, a response code for the access target URL is checked; and when the access target URL is not normal in communication, not only the access target URL is excluded from the detection target but also a harmful URL is detected through an artificial intelligence model using various data that may occur on the web, whereby harmful URLs may be effectively detected and blocked.
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    Gaze sequence enhanced with machine learning

    168-169页
    查看更多>>摘要：According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from osf.io: "Gaze sequencing, the analysis of the order and duration of eye fixations, plays a crucial role in understanding human behavior, cognitive processes, and decision-making. It has applications in various fields such as human-computer interaction, healthcare, psychology research, and more. "However, accurately capturing and interpreting gaze sequences can be challenging due to factors like noise, distractions, and individual variations. "To overcome these challenges and enhance the accuracy of gaze sequencing, machine learning techniques have emerged as powerful tools. "This article provides an overview of machine learning techniques in gaze sequence analysis and explores their role in improving accuracy, along with discussing applications, challenges, future trends, and case studies. By leveraging machine learning, we can unlock the full potential of gaze sequencing, opening up new avenues for research, development, and real-world applications." This preprint has not been peer-reviewed.
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    Developing machine-learning-based amyloid predictors with Cross- Beta DB

    169-169页
    查看更多>>摘要：According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: "Due to shifts in environmental conditions, mutations, or interactions with other biomolecules, some proteins that would normally be soluble can undergo aggregation, resulting in the formation of clumps of amyloid fibrils. Understanding of this phenomenon is of paramount importance due not only to its association with various diseases (including Alzheimer\'s disease), but also due to increasingly abundant evidence for its functional roles. Numerous studies have demonstrated that the propensity to form amyloids is coded by the amino acid sequence and this finding has paved the way for the development of several computational predictors of amyloidogenicity. The ultimate objective of computational methods is to accurately predict the formation of disease-related and functionally relevant amyloids that occur in vivo. "These amyloid fibrils are known to form very specific cross-beta structures of protein regions longer than about 15 residues. Remarkably, despite the significance of the naturally occurring amyloids, there has been a lack of datasets specifically dedicated to them. Hence, we built Cross-Beta DB, a database composed of cross-beta amyloids formed in natural conditions.
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