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    Researchers Submit Patent Application, "Systems And Methods For Actuation Of A R obotic Manipulator", for Approval (USPTO 20240342899)

    216-219页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by theinventors Geating, Joshua Timothy (A llston, MA, US); Peyton, Geoffrey (Arlington, MA, US); Thorne,Christopher Evere tt (Waltham, MA, US); Webb, Jacob (Cambridge, MA, US), filed on June 21, 2024, was made available online on October 17, 2024.The patent's assignee is Boston Dynamics Inc. (Waltham, Massachusetts, United St ates).News editors obtained the following quote from the background information suppli ed by the inventors:"A robot is generally defined as a reprogrammable and multi functional manipulator designed to move material,parts, tools, or specialized d evices through variable programmed motions for a performance of tasks.Robots ma y be manipulators that are physically anchored (e.g., industrial robotic arms), mobile robotsthat move throughout an environment (e.g., using legs, wheels, or traction-based mechanisms), or somecombination of a manipulator and a mobile ro bot. Robots are utilized in a variety of industries including,for example, manu facturing, warehouse logistics, transportation, hazardous environments, explorat ion,and healthcare."
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    Patent Issued for Installation for an atomizer to atomize a fluid (USPTO 1211554 5)

    219-221页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Exel Industries (Epernay, France) has been issued patent number 12115545, accordingto news reporting originating out of Alexandria, Virginia, by NewsRx editors.The patent's inventors are Beaudoin, Camilien (Paris, FR), Colrat, Michel (Paris , FR), Faure, Didier(Paris, FR), Foubert, Guillaume (Paris, FR), Provenaz, Phil ippe (Paris, FR).This patent was filed on March 7, 2021 and was published online on October 15, 2 024.From the background information supplied by the inventors, news correspondents o btained the followingquote: "Many fluid atomizing installations include an atom izer, at least one part of which is designedto be brought to a high electrical potential during atomizing. Thus, the difference in electrical potentialbetween the part to be coated with the fluid and the atomizer tends to favor the projec tion of the fluiddroplets projected to the part, since the droplets tend to bec ome electrically charged at the atomizer andfollow the electric field lines bet ween the atomizer and the part. The result is an increase in atomizerefficiency , as the amount of fluid that does not reach the part is reduced.
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    Patent Issued for Model ML registry and model serving (USPTO 12117983)

    221-225页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventorsDavidson, Aaron Daniel (Berkeley, CA, US), Mewald, Clemens (Lafayette, CA, US), Nykodym, Tomas(San Francisco, CA, US), filed on November 17, 2023, was published online on October 15, 2024.The patent's assignee for patent number 12117983 is Databricks Inc. (San Francis co, California,United States).News editors obtained the following quote from the background information suppli ed by the inventors:"A business utilizing machine learning models for decision making typically stores multiple versions ofmultiple models. As models are upda ted with new data or new techniques, the new versions are stored.One or more of the versions are utilized at any given time. Typically the model is accessed us ing a universalresource locator (e.g., URL) application programming interface ( e.g., API) endpoint including a modelserver, model name, and version number. Ad ding a new version requires manually creating a new modelservice with a new end point URL and configuring requesting services to access the new model service atthe new endpoint. This creates a problem wherein a substantial amount of manual maintenance is requiredfor model updating, increasing the chances of introduci ng errors in the process."
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    Patent Application Titled "Mobile Object And Robot Apparatus" Published Online ( USPTO 20240343327)

    225-227页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntors Kamikawa, Yasuhisa (Tokyo, Jp); Takagi, Noriaki (Tokyo, Jp), filedon Febr uary 21, 2022, was made available online on October 17, 2024.No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors: "Inrecent years, a legged mobile object has been developed wh ich is capable of freely moving by walking ona plurality of legs on an uneven s urface such as stairs or an unpaved road. In addition, attention hasbeen also f ocused on a leg-wheel type mobile object having a plurality of legs the distal e nds of whichare provided with wheels that can be driven by a motor or the like so that the mobile object is capable ofmoving by walking on the legs on an unev en surface and also capable of traveling with the wheels on aflat surface such as a paved road.
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    Researchers Submit Patent Application, "Interactive Visual Effects Using Pose Re cognition", for Approval (USPTO 20240346685)

    227-230页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by theinventors HABIB, Kazi Rubaiat (Seatt le, WA, US); NGUYEN, Cuong (San Francisco, CA, US); ZHANG,Yongqi (Fairfax, VA, US), filed on April 12, 2023, was made available online on October 17, 2024.The patent's assignee is Adobe Inc. (San Jose, California, United States).News editors obtained the following quote from the background information suppli ed by the inventors:"In the field of visual graphics, pose estimation provides a technique to detect positions of objects in animage or video. Human pose esti mation involves identifying and tracking various points of a human body.Applyin g visual effects to parts of the human body in an output can be programmatically challengingfor an average user. Typical pose estimation systems create effects that are coded for specific poses andrequires extensive programming that is no t flexible enough for modern graphics design."
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    Patent Issued for Object detection using RADAR and LiDAR fusion (USPTO 12117519)

    230-233页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists,a patent by the inventors Me ng, Xiaoli (Singapore, SG), Shetti, Karan Rajendra (Singapore, SG),Zhou, Lubing (Singapore, SG), filed on October 7, 2021, was published online on October 15, 2024.The assignee for this patent, patent number 12117519, is Motional AD LLC (Boston , Massachusetts,United States).Reporters obtained the following quote from the background information supplied by the inventors:"Light Detection and Ranging (LiDAR) determines information fr om light emitted by an emitter, reflectedby an object, and detected by a detect or. Similarly, Radio Detection and Ranging (RADAR) determinesobject information from radio waves emitted by an emitter, and reflected by an object. The informa tionincludes data associated with the object, such as a range to the object, ve locity of the object, and thelike. The detector is a photodetector that receive s the light reflected by the object. The detector can bea solid state photodete ctor, a photomultiplier, or any combinations thereof."
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    Value of using artificial intelligence derived clusters by health and social car e need in Primary Care: A qualitative interview study

    233-234页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from me drxiv.org:"Purpose People living with MLTCs attending consultations in primary care freque ntly have unmetsocial care needs (SCNs), which can be challenging to identify a nd address. Artificial intelligence (AI)derived clusters could help to identify patients at risk of SCNs. Understanding the views of people living withMLTCs a nd those involved in their care can help inform the design of effective interven tions informed byAI-derived clusters to address SCNs. Methods Qualitative study using semi-structured online and telephoneinterviews with 24 people living wit h MLTCs and 20 people involved in the care of MLTCs. Interviewswere analysed us ing Reflexive Thematic Analysis."Results Primary care was viewed as an appropriate place to have conversations a bout SCNs.
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    Machine learning-based equations for improved body composition estimation in Ind ian adults

    234-234页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from me drxiv.org:"Bioelectrical impedance analysis (BIA) is commonly used as a lower-cost measure ment of bodycomposition as compared to dual-energy X-ray absorptiometry (DXA) a nd magnetic resonance imaging(MRI) in large-scale epidemiological studies."However, existing equations for body composition based on BIA measures may not generalize well toall settings. We combined BIA measurements (TANITA BC-418) wi th skinfold thickness, body circumferences,and grip strength to develop equatio ns to predict six DXA-measured body composition parametersin a cohort of Indian adults using machine learning techniques. The participants were split into trai ning(80%, 1297 males and 1133 females) and testing (20% , 318 males and 289 females) data to develop andvalidate the performance of equ ations for total body fat mass (kg), total body lean mass (kg), total bodyfat p ercentage (%), trunk fat percentage (%), L1-L4 fat per centage (%), and total appendicular leanmass (kg), separately for males and females.
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