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    "Interference Determination Device, Robot Control System, And Method For Determi ning Interference" in Patent Application Approval Process (USPTO 20240051135)

    113-114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 BUNNO, Sho (Osaka-shi, Osaka, JP); MIYAMOTO, Takuya (Kadoma-shi, Osaka, JP); MOR I, Masato (Osaka-shi, Osaka, JP); ONO, Kazuki (Osaka-shi, Osaka, JP), filed on D ecember 23, 2021, was made available online on February 15, 2024, according to n ews 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: "Methods used by robots to avoid objects are kno wn. Patent Literature 1, for example, describes an apparatus that converts a thr ee-dimensional robot model into a two-dimensional robot model and that determine s interference of the two-dimensional model." In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventors' summary information for this pat ent application: "In an embodiment of the present disclosure, an interference de termination device includes a controller that determines interference between a robot and an object. The controller obtains a plurality of vertices of at least one object within a motion range of the robot in a real space and positional inf ormation regarding the plurality of vertices. The controller determines interfer ence between the robot and the object in the real space on a basis of the plural ity of vertices and the positional information.

    Researchers Submit Patent Application, "Pool Cleaning Device", for Approval (USP TO 20240052662)

    115-119页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventor ZENG, Xianglin (Shanghai, C N), filed on February 21, 2023, was made available online on February 15, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: " "Apparatuses and methods consistent with exemplary embodiments relate to cleanin g apparatuses and in particular to a pool cleaning device. "Swimming pools must be cleaned frequently. For example, a pool bottom cleaning robot is often used to clean a pool bottom. Upon reaching a wall of a pool, the cleaning robot must reverse and turn back. "However, conventional robots often fail to implement an accurate and stable rev ersing movement, and often spin in the same place, resulting in inefficient clea ning." As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventor's summary information for this patent application: "Example embodiments may address at least the above problems and/o r disadvantages and other disadvantages not described above. Also, example embod iments are not required to overcome the disadvantages described above, and may n ot overcome any of the problems described above. "According to an aspect of an example embodiment, a pool cleaning device compris es: a main body; a rotating unit rotatably disposed on the main body, the rotati ng unit comprising: a rotating member, a fluid outlet extending radially outward from the rotating member, and a first positioning protrusion extending radially outward from the rotating member and spaced apart from the fluid outlet; and a reversing member comprising a plurality of stoppers spaced apart from each other and disposed along a path of rotation of the rotating member, wherein each of t he plurality of stoppers is reciprocable between a position in a path of rotatio n of the first positioning protrusion and a position out of the path of rotation of the first positioning protrusion.

    Patent Issued for Setting ad breakpoints in a video within a messaging system (U SPTO 11900683)

    119-122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 Chatoo, Khalil (Santa Monica, CA, US), Hornsby, David Michael (Surrey, GB), Kile, Jeffrey (Los Alamitos, CA, US), Lonkar, Chinmay (Playa Vista, CA, US), Wang, Zhimin (Culver City, CA, US), Wehrm an, Ian Anthony (Venice, CA, US), filed on February 21, 2023, was published onli ne on February 13, 2024. The patent's assignee for patent number 11900683 is Snap Inc. (Santa Monica, Cal ifornia, United States). News editors obtained the following quote from the background information suppli ed by the inventors: "Messaging systems provide for the exchange of message cont ent between users. A messaging system may allow a user to view a video provided by another user." As a supplement to the background information on this patent, NewsRx corresponde nts also obtained the inventors' summary information for this patent: "A messagi ng system typically allows users to exchange content items (e.g., messages, imag es and/or video) with one another in a message thread. A messaging system may pr ovide for inserting ads into a video during playback of the video.

    Patent Application Titled "Autonomous Vacuum Sweeping System" Published Online ( USPTO 20240049928)

    122-126页
    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 originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Chandrashekaraiah, Karthik (San Francisco, CA, US); Gervais, Tristan Pierr e (Sunnyvale, CA, US); Jain, Vishal (Santa Clara, CA, US); Kumar, Anshuman (San Francisco, CA, US); Liao, Kaiwen (Sunnyvale, CA, US); Madonia, Nathan Elio (Moun tain View, CA, US); Plummer, William George (London, GB), filed on August 10, 20 23, was made available online on February 15, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Conventional vacuum systems can use brush rollers to assist i n moving dust and debris to be suctioned by the vacuum. However, brush rollers o f conventional vacuum systems have various issues such as cleaning efficiency, n oise, and power consumption. Hairs can wrap and accumulate around the outside of the brush roller, which worsens cleaning performance. Hairs can also jam or uns eat rotating brush rollers, which completely stops cleaning performance until th e brush roller is unjammed or reseated. Flaps of brush rollers can be noisy as t hey successively strike the ground during cleaning. Conventional vacuum systems may also expend additional power to rotate a brush roller against additional fri ction caused by hairs that accumulate around the brush roller and may wrap aroun d a rotating portion of the brush roller (e.g., a drive pinion). Cleaning fibrou s debris from conventional vacuum systems can be inconvenient for the user and i s often challenging because removal or insertion of a vacuum's brush roller requ ires complex procedures, additional tools, or undue force, which may damage the vacuum or brush roller. Furthermore, large debris may be unable to be ingested i nto conventional vacuum systems due to insufficient room or because the large de bris enters at edges of a brush roller.

    Patent Application Titled "Hidden Machine Learning For Federated Learning" Publi shed Online (USPTO 20240054205)

    126-129页
    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 originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntor GOODSITT, Jeremy (Champaign, IL, US), filed on August 10, 2022, was made av ailable online on February 15, 2024. The assignee for this patent application is Capital One Services LLC (McLean, Vi rginia, United States). Reporters obtained the following quote from the background information supplied by the inventors: "Machine learning provides opportunities to improve privacy pr otection, fraud detection, and operation optimization. A system may perform vari ous types of machine learning operations to help recognize words, predict user a ctions, recommend future actions, etc. These machine learning operations may var y in complexity, computational requirement, or applicability with respect to dif ferent types of objectives. In many cases, a machine learning operation may take advantage of communications in a network of different computing systems, where each computing system may have access to their own sources of data that is indep endent of other computing systems. These computing systems may cooperate in a fe derated manner to perform one or more learning operations."

    Patent Issued for Cloud forecasting for electrochromic devices (USPTO 11900617)

    130-133页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Halio Inc. (Hayward, California, Unite d States) has been issued patent number 11900617, according to news reporting or iginating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Humann, Christian (Berkeley, CA, US), McNeil, Andrew (Oakland, CA, US). This patent was filed on November 15, 2022 and was published online on February 13, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: "An electrochromic glass unit uses electrochromic g lass that can change transmissivity with the application of electric current and voltage. The change of transmissivity typically relies on a reversible oxidatio n of a material. Electrochromic glass units can darken at the press of a button or other triggering events and are also often used in building windows to reduce glare and solar heat gains." Supplementing the background information on this patent, NewsRx reporters also o btained the inventors' summary information for this patent: "Cloud forecasting f or electrochromic devices is described. Electrochromic devices can be, for examp le, used for smart windows (e.g., electrochromic windows) in a commercial or res idential building. A smart window refers to one or more glass units whose charac teristics (e.g., a tint level representing a particular transmissivity parameter , optical scattering characteristics, etc.) can be changed automatically (e.g., at a particular time, in response to a weather condition, etc.). Selectively tin ting smart windows may allow some control of solar heat gain of a building to de crease energy used for heating and/or cooling (e.g., tinting smart windows on su nny summer days allows for less solar heat gain, untinting smart windows in sunn y winter days allows for more solar heat gain). Selectively tinting smart window s may provide effective use of daylight (e.g., daylighting) to decrease energy u sed for lighting. Whereas properly controlled smart windows may reduce energy us ed for heating, cooling, and lighting, improper control of smart windows may inc rease energy consumption and decrease user comfort (e.g., not properly allowing natural light, allowing glare from direct sunlight, etc.). A modern multi-story building can include thousands of external and internal windows. As such, contro lling electrochromic devices in an efficient manner becomes increasingly importa nt.

    "System For Implementing Parametric Optimization Analysis For Resource Selection " in Patent Application Approval Process (USPTO 20240054413)

    133-137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 Bakshi, Sakshi (New Delhi, IN); Jha, Amod (Hyderabad, Telangana, IN); Mithra, As hlesha (Gurugram, Haryana, IN); Paini, Siva Kumar (Hyderabad, Telangana, IN), fi led on August 15, 2022, was made available online on February 15, 2024, accordin g to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to Bank of America Corporation (Charlotte, N orth Carolina, United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "While setting up requirements in a resource exc hange agreement there is a scope to improve upon existing resource selection ana lysis. Therefore, there is a need for parametric optimization analysis for resou rce selection."

    Patent Application Titled "Systems And Methods For Hierarchical Multi-Label Mult i-Class Intent Classification" Published Online (USPTO 20240054298)

    137-141页
    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 originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntor CHATURVEDI, Isha (Mountain View, CA, US), filed on August 9, 2022, was made available online on February 15, 2024. The assignee for this patent application is Capital One Services LLC (McLean, Vi rginia, United States). Reporters obtained the following quote from the background information supplied by the inventors: "In recent years, the use of artificial intelligence, includin g, but not limited to, machine learning, deep learning, etc. (referred to collec tively herein as artificial intelligence models, machine learning models, or sim ply models) has exponentially increased. Broadly described, artificial intellige nce refers to a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intellig ence. Key benefits of artificial intelligence are its ability to process data, f ind underlying patterns, and/or perform real-time determinations. However, despi te these benefits and despite the wide-ranging number of potential applications, practical implementations of artificial intelligence have been hindered by seve ral technical problems. First, artificial intelligence often relies on large amo unts of high-quality data. The process for obtaining this data and ensuring it i s high-quality is often complex and time-consuming. Second, despite the mainstre am popularity of artificial intelligence, practical implementations of artificia l intelligence require specialized knowledge to design, program, and integrate a rtificial intelligence-based solutions, which limits the amount of people and re sources available to create these practical implementations. Finally, results ba sed on artificial intelligence are notoriously difficult to review as the proces s by which the results are made may be unknown or obscured. This obscurity creat es hurdles for identifying errors in the results, as well as improving the model s providing the results. These technical problems present an inherent problem wi th attempting to use an artificial intelligence-based solution in efficiently la beling user actions in an interactive conversational system."

    Patent Application Titled "Machine Learning Solution To Predict Protein Characte ristics" Published Online (USPTO 20240055100)

    141-144页
    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 originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors BADAM, Anirudh (Issaquah, WA, US); BHAGAVATHULA, Anvita Kriti Prakash (Pro vidence, RI, US); CHANDRA, Ranveer (Kirkland, WA, US); DE MOURA ESTEVAO FILHO, R oberto (Raleigh, NC, US); MAUA, Sara Malvar (Sao Paulo, BR); SHARMA, Swati (Hayw ard, CA, US); de LUIS BALAGUER, Maria Angels (Raleigh, NC, US), filed on Decembe r 23, 2022, was made available online on February 15, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "As the world's population increases rapidly and because land, water, and food resources are limited, it is becoming increasingly important to provide quality protein to meet human nutritional needs. A sufficient dietary s upply of protein is necessary to support the health and well-being of human popu lations. New foods and alternative proteins are created as a solution to this ne ed. However, the current techniques for evaluating the characteristics of new fo od proteins are labor intensive and generally require human or animal test subje cts. "Alternative techniques for rapidly evaluating characteristics of proteins would have great utility in developing new food items and alternative protein sources . This disclosure is made with respect to these and other considerations."

    Researchers Submit Patent Application, "Systems And Methods For Separating Objec ts Using Vacuum Diverts With One Or More Object Processing Systems", for Approva l (USPTO 20240054303)

    144-147页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors AMEND, JR., John Richard ( Belmont, MA, US); GAUTHIER, Andrew (Somerville, MA, US); GEYER, Christopher (Arl ington, MA, US); HINCHEY, Victoria (Winchester, MA, US); KITTREDGE, Jeffrey (Lex ington, MA, US); KUMAR, Lakshman (Burlington, MA, US); MARONEY, Kyle (North Attl eboro, MA, US); MASON, Matthew T. (Pittsburgh, PA, US); ROMANO, Joseph (Arlingto n, MA, US); VELAGAPUDI, Prasanna (Pittsburgh, PA, US); WAGNER, Thomas (Concord, MA, US), filed on October 20, 2023, was made available online on February 15, 20 24. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "The invention generally relates to automated (e.g., progra mmable motion) and other processing systems, and relates in particular to progra mmable motion (e.g., robotic) systems intended for use in environments requiring , for example, that a variety of objects (e.g., articles, parcels or packages) b e processed (e.g., sorted and/or otherwise distributed) to several output destin ations. "Many object distribution systems receive objects in an organized or disorganize d stream that may be provided as individual objects or objects aggregated in gro ups such as in bags, arriving on any of several different conveyances, commonly a conveyor, a truck, a pallet, a Gaylord, or a bin. Each object must then be dis tributed to the correct destination container, as determined by identification i nformation associated with the object, which is commonly determined by a label p rinted on the object. The destination container may take many forms, such as a b ag or a bin or a tote.