首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Patent Issued for Smart lawnmower with realization of mowing policy and system a nd method for use of same (USPTO 12001182)

    118-120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 Melbourne, David J. (Arlington, TX , US), Melbourne, Ross A. (Southlake, TX, US), filed on December 21, 2022, was p ublished online on June 4, 2024. The patent's assignee for patent number 12001182 is Sensori Robotics LLC (Dallas , Texas, United States). News editors obtained the following quote from the background information suppli ed by the inventors: "Landscaping and groundskeeping services that keep a landsc ape healthy, clean, safe, and attractive, employ more than 1,000,000 individuals in the United States alone. Such employment is manual and laborintensive work. In other fields of endeavor, robots have been shown to be particularly suited t o perform routine manual tasks. Robots have yet to sufficiently penetrate the la ndscaping and groundskeeping markets, however. Typical robotic smart lawnmowers use randomness and sheer persistence to mow grass. This approach has not proven to be sufficiently efficient and effective to penetrate the landscaping and grou ndskeeping markets. As a result, there is a need for improved smart lawnmowers."

    'Extended Reality Platform For Real Time Digital Object Transfer In A Networked System' in Patent Application Approval Process (USPTO 20240185328)

    121-124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 Barus, Hope (Fort Mill, SC, US); Castinado, Joseph Benjamin (North Glenn, CO, US ), filed on December 2, 2022, was made available online on June 6, 2024, accordi ng 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: "Many electronic workflows and processes require a user to be able to access multiple entity systems in order to view, manipulat e, and otherwise engage with data and applications. For example, to initiate a t ransaction process such as an object transfer, a user is often required to estab lish a communication channel with at least one managing entity system, at least one merchant system, and at least one logistics system. Not only does this creat e process delays, but it also prevents a managing entity system from being able to actively administer the transaction process in real time. "There is a need for a system for real time digital and/or physical object trans fer in an extended reality environment."

    'Generating Complete Three-Dimensional Scene Geometries Using Machine Learning' in Patent Application Approval Process (USPTO 20240185523)

    124-127页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A patent application by the inventors FIDLER, San ja (Toronto, CA); GOJCIC, Zan (Zurich, CH); KAR, Amlan (Toronto, CA); KREIS, Kar sten (Vancouver, CA); WILLIAMS, Francis (Brooklyn, NY, US); ZHANG, Dongsu (Seoul , KR), filed on June 22, 2023, was made available online on June 6, 2024, accord ing to news reporting originating from Washington, D.C., by NewsRx correspondent s. 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: "An autonomous or semi-autonomous vehicle is typ ically equipped with cameras, depth sensors, and/or other sensors that are used to detect and understand the environment around the vehicle. Data collected by t he sensors is used by downstream components to make important decisions related to stopping the vehicle, starting the vehicle, controlling the speed of the vehi cle, determining a path to be taken by the vehicle, disengaging an autonomous dr iving mode on the vehicle, and/or otherwise operating the vehicle. Consequently, creating diverse and realistic three-dimensional (3D) environments is critical for conducting simulations that are used to develop, test, or verify the operati on of an autonomous or semi-autonomous vehicle.

    Patent Application Titled 'Method For Providing Speech Video And Computing Devic e For Executing The Method' Published Online (USPTO 20240185877)

    127-130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 KIM, DOOHYUN (Gyeonggi-do, KR), filed on February 14, 2024, was made availa ble online on June 6, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: " "An embodiment of the present invention relates to a technology for providing a speech video. "Recently, various types of content are being generated based on an artificial i ntelligence (AI) technology as the technology advances in the field of AI. As an example, when there is a voice message to be delivered, there is a case of tryi ng to attract people's attention by generating a speech moving picture such as a famous person (e.g., a president, etc.) speaking the voice message. This is imp lemented by generating a mouth shape, etc. to fit a specific message, just like a famous person speaking the specific message in a video of the famous person.

    Researchers Submit Patent Application, 'Detecting Loss Of Heterozygosity In Hla Alleles Using Machine-Learning Models', for Approval (USPTO 20240185952)

    130-134页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-From Washington, D.C., NewsRx journalists report that a patent application by the inventors ABBOTT, Charles Wilbur (San Leandro, CA, US); BOYLE, Sean Michael (San Leandro, CA, US); CHEN, Richard (Menlo Park, C A, US); DEA, Steven (Mountain View, CA, US); LEVY, Eric (Newark, CA, US); MELLAC HERUVU, Dattatreya (Union City, CA, US); PYKE, Rachel Marty (Oakland, CA, US); W EST, John (Cupertino, CA, US); ZHANG, Simo V. (Union City, CA, US), filed on Apr il 21, 2022, was made available online on June 6, 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: "Immune checkpoints generally refer to a set of inhibitory pathways hardwired into the immune system, which regulate the duration and ampli tude of physiological immune responses. When activated, the immune checkpoint mo lecules (e.g., PD-1) suppresses the immune system in order to prevent it from at tacking cells indiscriminately. Although immune checkpoints are generally effect ive, tumor cells may manipulate such mechanism to prevent the immune system from eliminating tumor cells.

    Patent Application Titled 'Characterization For Erroneous Artificial Intelligenc e Outputs' Published Online (USPTO 20240184813)

    134-137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 BARR, Brian (Schenectady, NY, US); BEAN, Kenny (Herndon, VA, US); GOODSITT , Jeremy (Champaign, IL, US); RAFFERTY, Galen (Mahomet, IL, US); SHARPE, Samuel (Cambridge, MA, US); WALTERS, Austin (Savoy, IL, US), filed on December 5, 2022, was made available online on June 6, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Artificial intelligence describes different ways that a machi ne interacts with an environment. Through advanced, human-like intelligence (e.g ., provided by software and hardware), an artificial intelligence system may per ceive an environment and take actions that maximize a chance of achieving goals. Machine learning is an approach, or a subset, of artificial intelligence, with an emphasis on learning rather than just computer programming. A machine learnin g system may utilize complex models to analyze a massive amount of data, recogni ze patterns among the data, and generate an output (e.g., a prediction, a classi fication, or the like) without requiring a human to program specific instruction s."

    Introduction and Operations of Specialized Machine Learning Web Applications for Material Design

    137-137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 os f.io: "Machine learning has been vital in materials design, but materials scientists n eed help with their unfamiliarity with machine learning techniques. The need for data scientists to have more domain knowledge in materials design has also been vital. "To bridge this gap, we have developed user-friendly web applications for materi als scientists, with machine-learning models built and deployed by data scientis ts.