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    Patent Application Titled 'Machine-Learning Model That Recommends Virtual Experi ences Based On Graphs And Clustering' Published Online (USPTO 20240177013)

    168-173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 GONG, Xiaohong (Sunnyvale, CA, US); PARASRAMPURIA, Nipun (San Francisco, C A, US); PETROVIC, Nemanja (Belgrade, RS); RAGHUPATHI, Nishanth Rao Palimar (Cast ro Valley, CA, US); SHAHIDI, Shervin (Foster City, CA, US); SUN, Xusheng (Sunnyv ale, CA, US), filed on November 29, 2022, was made available online on May 30, 2 024. The assignee for this patent application is Roblox Corporation (San Mateo, Calif ornia, United States). Reporters obtained the following quote from the background information supplied by the inventors: "Recommendation systems are excellent at recommending experien ces to users when information is known about the users and when information is k nown about the experiences. The recommendation systems may include high-level re presentations from labeled data with layered differentiable models. However, the recommendation systems are often inefficient, the data lacks robustness, and/or the data is not generalizable.
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    Patent Application Titled 'Monitoring Food Consumption Using An Ultrawide Band S ystem' Published Online (USPTO 20240177824)

    173-176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 Ahmed, Nabeel (San Jose, CA, US); Kim, Sophia Hyein (Sunnyvale, CA, US), f iled on September 8, 2022, was made available online on May 30, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Conventionally food consumption is monitored by a person indi vidually tracking and logging what they eat, how much they eat, when they eat, e tc. The log may be hand written or input into an application that simply provide s calorie estimates for the portions and types of foods input. Accuracy of both instances rely heavily on how diligent the person is in tracking what food was c onsumed. As such, utility of conventional systems goes down for people who do no t have the time/dedication to accurately track what food was consumed. Moreover, even if a person accurately tracks what food was consumed, conventional systems are not able to actively monitor, e.g., whether a user is choking and/or whethe r a user is having a hard time eating (e.g., having a hard time picking up their food, etc.)."
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    Patent Issued for Systems and methods for operating a robotic machine in an auto nomous mode and a manual mode (USPTO 11991955)

    176-178页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Toro Company (Bloomington, Minnesota, United States) has been issued patent number 11991955, according to news reporti ng originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Clarke, Khari Sekou (Minneapolis, MN, US), Curtis, Aa ron Yarrow (Eagan, MN, US), Frick, Alexander Steven (Farmington, MN, US). This patent was filed on May 14, 2019 and was published online on May 28, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: "Lawn and garden machines are known for performing a variety of tasks. For instance, powered lawn mowers are used by both homeowner s and professionals alike to maintain turf areas within a property or yard. "Mowers that autonomously perform a grass cutting function are also known. Auton omous mowers typically include a cutting deck having one or more cutting blades. A battery-powered electric motor is generally included to power both the cuttin g blades and a propulsion system. Depending on the property size, the mower may cut only a portion of the property before returning to a base station for batter y re-charging.
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    Researchers Submit Patent Application, 'Exoskeleton, Orthosis, Wearable Device Or Mobile Robots Using Magnetorheological Fluid Clutch Apparatus', for Approval ( USPTO 20240173149)

    179-184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 DENNINGER, Marc (Sherbrook e, CA); LUCKING BIGUE, Jean-Philippe (Sherbrooke, CA); Larose, Pascal (Sherbrook e, CA); PLANTE, Jean-Sebastien (Sherbrooke, CA); VERONNEAU, Catherine (Watervill e, CA), filed on February 8, 2024, was made available online on May 30, 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: "The use of exoskeletons, orthoses or prostheses on humans may be desirable to enhance human capacities or restore human capabilities. In s ome cases, the objective is the reduction of the amount of human effort required to perform a task or function and in other cases the objective may be to amplif y human capacity. In some cases, the objective is to restore human function. In some other cases, the exoskeleton could have the function of generating energy f or a later use. In many cases, there is an exchange or energy between the human body and the exoskeleton and this exchange of energy occurs through mechanical c ontact between the user's limbs and the exoskeleton interface.
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    Patent Issued for Systems and methods for visualizing digital content (USPTO 119 97154)

    184-188页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Zive Inc. (Stamford, Connecticut, Unit ed States) has been issued patent number 11997154, according to news reporting o riginating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Ivarsson, Pall (Manhattan Beach, CA, US), Shashoua, E ric (Stamford, CA, US), Shetley, Ryan (Cape Girardeau, MO, US), Zmieiev, Anton ( Reshetylivka, UA). This patent was filed on November 9, 2020 and was published online on May 28, 20 24. From the background information supplied by the inventors, news correspondents o btained the following quote: "Hundreds of millions of dollars have been spent in the form of public acquisitions alone by each of the top tech companies with em ail products to create new user interface methods of serving the user with a ref ined list of only those emails that are the most relevant to the user. This does not include the extensive cost and effort of these companies' internal efforts. Innovations and features over many years have been applied towards a single goa l, which is to serve users with a smaller set of emails that are more relevant t o them, and filter out those that are less so.
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    Artificial intelligence as a ploy to delve into the intricate relationship betwe en genetics and mitochondria in MASLD patients

    188-189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 based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: "Background and Aims: Mitochondrial (mt-) dysfunction is a hallmark of progressi ve MASLD. MtDNA copy number (mtDNA-CN) and cell-free circulating mtDNA (ccf-mtDN A), which reflect mt-mass and mt-dysfunction, respectively, are gaining attentio n as non-invasive disease biomarkers. We previously demonstrated that PNPLA3/MBO AT7/TM6SF2 deficiency in HepG2 cells increased mt-mass, mtDNACN and ccf-mtDNA. This study furtherly explored mt-biogenesis, function and mt-biomarkers in biops ied MASLD patients from a Discovery (n=28) and a Validation (n=824) cohort, stra tified by the number of risk variants (NRV=3). We took advantage of artificial i ntelligence (AI) to develop new risk scores, predicting MASLD evolution by integ rating anthropometric and genetic data (Age, BMI, NRV) with mtbiomarkers. Metho ds: Hepatic mt-morphology and dynamics were assessed by TEM, IHC and gene expres sion. mtDNA-CN and ccf-mtDNA were measured in PBMCs and serum samples. GPT-4 was employed as AI tool to support the construction of novel risk scores for MASLD progressive forms (MASH, fibrosis and HCC). Results: In the Discovery cohort, NR V=3 patients showed the highest mt-mass and significant mtmorphological changes (i.e. membranes rupture). An elevated PGC-1, OPA1, DRP1 and PINK1, markers of m t-biogenesis, fusion and fission were found in these patients, supporting an enh anced mt-dynamics.
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