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    Researchers Submit Patent Application, 'SYSTEM AND METHOD FOR ADAPTIVELY TRAVERS ING CONVERSATION STATES USING CONVERSATIONAL Al TO EXTRACT CONTEXTUAL INFORMATIO N', for Approval (USPTO 20240096312)

    155-159页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:““Technical Field“The embodiments herein relate to the field of conversational artificial intelli gence, and more specificallyto a system and method for adaptively traversing co nversation states using conversational AI to extractcontextual information.

    Researchers Submit Patent Application, 'Sensor Measurement Correction Based On E mpirical Data', for Approval (USPTO 20240094269)

    159-163页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:““Aspects of the disclosure relate generally to sensor measurement correction for a measured value of ameasured object.“With the development of technology, computing devices play an important role in providing usersvarious types of services and convenient access to information. For example, computer devices can beconfigured as user terminals, base station s, and network entities in a wireless communication system.Users usually demand the computing devices to offer powerful performance while operate under certainpower consumption limitations or power budgets. The power consumption level of a computing device maybe evaluated and/or measured by a sensor disposed in the computing device, such as a current sensor ora voltage sensor. The effectivenes s of the performance and power management of the computer devicemay depend on t he accuracy of the measured power consumption level.

    Researchers Submit Patent Application, 'Systems And Methods For Evaluating Count erfactual Samples For Explaining Machine Learning Models', for Approval (USPTO 2 0240095553)

    164-168页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Explainable artificial intelligence or machine learning in cludes a set of methods that allows human users tounderstand why certain result s or output was generated by a machine learning model. Explainable machinelearn ing may be used to explain a machine learning model’s reasoning and characterize the strengths andweaknesses of the model’s decision-making process. Explainabl e machine learning may be necessary toestablish trust in the output generated b y machine learning models. For example, for ethical reasons,legal reasons, and to increase trust, a doctor may need to understand why a machine learning model isrecommending a particular procedure for a patient.

    Patent Issued for Cognitive analysis of public communications (USPTO 11935522)

    168-170页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “While the internet has provided customers with many opportunities to voice their opinionsregarding companies and their product s, these opinions are largely decentralized and found across manysocial media p latforms and other venues. There is a significant risk that customers of a busin ess mayvoice problematic complaints on a platform that the business does not ro utinely monitor, or cannot fullymonitor.

    Researchers Submit Patent Application, 'Prediction In A Distributed Network', fo r Approval (USPTO 20240098586)

    171-175页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Prediction is increasingly used within networks as a metho d to improve performance. For example,prediction of UE trajectory or future loc ation can be useful to adjust handover (HO) thresholds or toselect the RNA in R RC-INACTIVE or to optimise beamforming. Prediction of UE location could furtherhelp network resource allocation for various use cases including energy saving, load balancing and mobilitymanagement. As another example, HO decisions can be improved by using prediction information on theUE performance at the target cel l. Energy saving decisions taken locally at a cell could be improved byutilizin g prediction information on incoming UE traffic, as well as prediction informati on about trafficthat may be offloaded from a candidate energy saving cell to a neighbour cell ensuring coverage. Withincreased computing power and artificial intelligence and machine learning the use of predicted data isbecoming ever mor e important in improving the performance of devices within a network such as a wireless communication network.

    Patent Application Titled 'Multi-Axis Robot With Adjustable End Of Arm Tool' Pub lished Online (USPTO 20240091939)

    175-178页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“Robots have proven useful for a variety of purposes. Some exa mples include manufacturing and assemblyprocesses. Some robots have been used f or cutting slabs of material, such as stone. Mitered or angledcuts can be diffi cult to achieve. The typically limited range of motion of a robot and the need t o avoidsingularity impose limitations that can make such cutting systems unusab le for various jobs includingcutting large sized slabs.”

    'Driving Policy Determining Method and Apparatus, Device, and Vehicle' in Patent Application Approval Process (USPTO 20240092385)

    178-182页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion suppliedby the inventors: “With the development of artificial intelligence technologies, a self-driving technologygradually becomes mature. The self-driv ing technology enables computer to automatically and safelyoperate a motor vehi cle without any human operation based on collaboration of artificial intelligenc e,visual computing, a radar, a monitoring apparatus, a global positioning syste m, and the like.

    Researchers Submit Patent Application, 'Methods And Systems Of Alimentary Provis ioning', for Approval (USPTO 20240096475)

    183-185页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Existing solutions for selection of a best fit for aliment ary provisioning based upon physiological dictateshave generally avoided dealin g with the multiplicity of possible solutions by limiting sources or possiblese lections. This can lead to frustration and under-utilization, which can negate m any of the benefits ofsuch solutions.”

    Scientific Machine Learning (SciML) Surrogates for Industry, Part 1: The Guiding Questions

    185-185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 os f.io:“Surrogates are rapidly growing in importance as a technique from scientific mac hine learning foraccelerating modeling and simulation.“However, much of the current work on surrogate modeling has kept to the domain of academicliterature and many techniques have not broadly been adopted in stan dard industrial practices. Whatis required for surrogates to become commonplace or standard in industrial design and control? In thisposition paper we discuss the various challenges associated with translating surrogate techniques of scientific machine learning into a method for industrial usage.