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    "Map Zone Dividing Method, Apparatus, Autonomous Mobile Device And Storage Mediu m" in Patent Application Approval Process (USPTO 20240085212)

    142-148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 inventor W U, Chenhao (Beijing, CN), filed on November 24, 2023, was made available online on March 14, 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 informa tion supplied by the inventors: "As the advance of technology and improvement of living standards, more and more autonomous mobile devices equipped with differe nt functions have entered people's homes, such as cleaning robots, companion typ e mobile robots, etc., which have made people's life more comfortable and conven ient. "An autonomous mobile device is a smart device that autonomously executes predet ermined tasks in a predetermined work zone. Currently available autonomous mobil e devices typically include, but are not limited to, cleaning robots (e.g., smar t floor sweeping robots, smart floor mopping robots, window cleaning robots), co mpanion type mobile robots (e.g., smart electronic pets, nanny robots), service type mobile robots (e.g., receptionist robots in restaurants, hotels, meeting pl aces), industrial inspection smart devices (e.g., electric power line inspection robots, smart forklift, etc.), security robots (e.g., home or commercial use sm art bodyguard robots), etc.
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    Patent Issued for End effector assemblies for surgical instruments (USPTO 119254 06)

    148-151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 Alexandria, Virginia, by NewsRx journal-ists, a patent by the inventors Ad ams, Crystal A. (Westminster, CO, US), Heiliger, Zachary S. (Nederland, CO, US), Holbrook, Russell W. (Longmont, CO, US), Kingsley, Dylan R. (Broomfield, CO, US ), Siebenaller, Curtis M. (Frederick, CO, US), Weihe, Jason G. (Longmont, CO, US ), Whitney, William (Boulder, CO, US), filed on September 14, 2020, was publishe d online on March 12, 2024. The assignee for this patent, patent number 11925406, is Covidien LP (Mansfield, Massachusetts, United States). Reporters obtained the following quote from the background information supplied by the inventors: "Robotic surgical systems are increasingly utilized in various different surgical procedures. Some robotic surgical systems include a console supporting a robotic arm. One or more different surgical instruments may be conf igured for use with the robotic surgical system and selectively mountable to the robotic arm. The robotic arm provides one or more inputs to the mounted surgica l instrument to enable operation of the mounted surgical instrument.
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    Patent Issued for Integrated guide linear actuator system (USPTO 11925996)

    152-155页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Tolomatic Inc. (Hamel, Minnesota, Unit ed States) has been issued patent number 11925996, according to news reporting o riginating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Bourgoine, Ryan H. (Buffalo, MN, US), Grunerud, Wyatt A. (Plymouth, MN, US), Rosengren, Gary W. (Brooklyn Park, MN, US). This patent was filed on November 27, 2018 and was published online on March 12, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: "This application relates to linear actuators for u se in automated machine tool systems, including robotic welding and other progra mmable tool applications. More generally, the disclosure relates to the thrust-b earing elements of a linear actuator system, including thrust tube and thrust ro d components. "Industrial robots utilize a wide variety of different actuator technologies, in order to automate manufacturing processes including robotic welding, injection molding, fixture clamping, packaging, assembly, surface coating, and product ins pection and testing. Other high-volume and precision production manufacturing ap plications are also encompassed, where machine tool speed, accuracy, endurance, service life and operational costs are important engineering factors.
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    Patent Application Titled "Automatic Dispensing Device" Published Online (USPTO 20240085444)

    155-158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 MIYAZAKI, Koki (Kyoto-shi, JP), filed on April 25, 2023, was made available online on March 14, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: " "Field of the Invention "The present invention relates to an automatic dispensing device. "Description of the Related Art "The following description sets forth the inventor's knowledge of related art an d problems therein and should not be construed as an admission of knowledge in t he prior art.
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    Researchers Submit Patent Application, "Artificial Latency For Moderating Voice Communication", for Approval (USPTO 20240087596)

    158-162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 CLAVEL, Philippe (Belmont, CA, US); MCGUIRE, Morgan (Waterloo, ON, CA); NANDWANA, Mahesh Kumar (Sunnyvale, CA, US), filed on September 8, 2022, was made available online on March 14, 202 4. The patent's assignee is Roblox Corporation (San Mateo, California, United State s). News editors obtained the following quote from the background information suppli ed by the inventors: "Online platforms need a way to provide a safe and civil en vironment in communications between user devices. Text communications are easier to moderate than audio communications because users are more tolerant of delays in transmitting text messages. In addition, moderating text communications is e asier than audio streams because text can be compared to a list of prohibited or problematic words. Conversely, moderation of audio streams is more difficult to analyze because of the variation in accents, tone, volume, the use of sarcasm, etc. "The background description provided herein is for the purpose of presenting the context of the disclosure. Work of the presently named inventors, to the extent it is described in this background section, as well as aspects of the descripti on that may not otherwise qualify as prior art at the time of filing, are neithe r expressly nor impliedly admitted as prior art against the present disclosure."
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    Patent Issued for Automatically moving floor treatment appliance comprising at l east one fall sensor (USPTO 11927966)

    162-166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 Hayn, Henning (Hilden, DE), Moseba ch, Andrej (Unna, DE), filed on November 30, 2021, was published online on March 12, 2024. The patent's assignee for patent number 11927966 is Vorwerk & Co. Interholding GmbH (Wuppertal, Germany). News editors obtained the following quote from the background information suppli ed by the inventors: "1. Field of the Invention "The invention relates to an automatically moving floor treatment appliance comp rising an appliance housing, a drive means for the movement of the floor treatme nt appliance within a surrounding area, at least one fall sensor arranged on an underside of the appliance housing facing a surface, which is configured to dete ct a distance of the floor treatment appliance from the surface, and a computing means, which is configured to compare the distance detected by means of the fal l sensor with a threshold value defining a slope and, in the event that the dete cted distance is greater than the defined threshold value, to determine the pres ence of a slope as detection result, and to transmit a control command for chang ing a movement of the floor treatment appliance to the drive means.
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    "Threshold Determination For Predictive Process Control Of Factory Processes, Eq uipment And Automated Systems" in Patent Application Approval Process (USPTO 202 40085863)

    167-170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 Bordelanne, Valerie (New York, NY, US); Constantin, Sarah (Brooklyn, NY, US); Le e, Jonathan (Brooklyn, NY, US); Limoge, Damas (Brooklyn, NY, US); Putman, John B . (Celebration, FL, US), filed on August 31, 2023, was made available online on March 14, 2024, according to news reporting originating from Washington, D.C., b y NewsRx correspondents. This patent application is assigned to Nanotronics Imaging Inc. (Cuyahoga Falls, Ohio, United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "To manufacture products that consistently meet desired design specifications, safely, timely and with minimum waste, requires c onstant monitoring and adjustments to the manufacturing process." 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 some embodiments, a manufacturing system is disclosed herei n. The manufacturing system includes one or more process stations, a station con trol system, and a controller. The one or more process stations are configured t o execute a manufacturing process. The manufacturing process includes an initial set of processing parameters. The station control system is configured to contr ol the one or more process stations. The controller is in communication with the one or more process stations and the station control system. The controller is configured to perform operations. The operations include receiving desired proce ss values associated with the one or more process stations. The operations furth er include receiving desired target values for one or more key performance indic ators of the manufacturing process. The operations further include simulating, b y a deep learning processor, the manufacturing process to generate expected proc ess values and expected target values for the one or more key performance indica tors to optimize the one or more key performance indicators. The simulating incl udes generating a proposed state change of at least one processing parameter of the initial set of processing parameters. The operations further include determi ning, by the deep learning processor, that expected process values and the expec ted target values are within an acceptable limit of the desired process values a nd the desired target values. The operations further include, based on the deter mining, causing a change to the initial set of processing parameters based on th e proposed state change.
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    Machine learning methods applied to classify complex diseases using genomic data

    170-171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: "Complex diseases pose challenges in disease prediction due to their multifactor ial and polygenic nature. "In this work, we explored the prediction of two complex diseases, multiple scle rosis (MS) and Alzheimer\'s disease (AD), using machin e learning (ML) methods and genomic data from UK Biobank. Different ML methods w ere applied, including logistic regressions (LR), gradient boosting decision tre es (GB), extremely randomized trees (ET), random forest (RF), feedforward networ ks (FFN), and convolutional neural networks (CNN). The primary goal of this rese arch was to investigate the variability of ML models in classifying complex dise ases based on genomic risk. LR was the most robust method across folds and disea ses, whereas deep learning methods (FFN and CNN) exhibited high variability. Whe n comparing the performance of polygenic risk scores (PRS) with ML methods, PRS consistently performed at an average level.
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    ArtiDock: fast and accurate machine learning approach to proteinligand docking based on multimodal data augmentation

    171-171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: "We present ArtiDock - the deep learning technique for predicting ligand poses i n the protein binding pockets (aka \"AI docking\ "), which is based on augmenting inherently limited training data with algorithm ically generated artificial binding pockets and the ensembles of representative conformations of the ligand-protein complexes obtained from MD simulations. Perf ormance of ArtiDock is compared systematically with other AI docking techniques and conventional docking programs on the PoseBusters dataset, which is dedicated for benchmarking the AI pose prediction algorithms. ArtiDock outperforms the be st AI docking techniques and the major conventional docking programs, being at l east an order of magnitude faster while providing superior accuracy in terms of RMSD and additional ligand pose correctness metrics. "The influence of data augmentation on the model performance is evaluated and th e perspectives of further development are discussed."
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