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1. 发明公开

US20230334353A1 INTELLIGENT SIGNAL MATCHING OF DISPARATE INPUT DATA IN COMPLEX COMPUTING NETWORKS 审中-公开
公开(公告)号：US20230334353A1
公开(公告)日：2023-10-19
申请号：US18211106
申请日：2023-06-16
申请人： RESEARCH NOW GROUP, LLC
发明人： Melanie D. COURTRIGHT , Vincent P. DEROBERTIS , Michael D. BIGBY , William C. ROBINSON , Greg ELLIS , Heidi D.E. WILTON , John R. ROTHWELL , Jeremy S. ANTONIUK
IPC分类号： G06N7/04 , H04L12/46 , G06F9/00 , H04L9/40 , H04L12/00 , H04W4/02 , H04L69/00
CPC分类号： G06N7/04 , H04L12/4625 , G06F9/00 , H04L9/40 , H04L12/00 , H04W4/02 , H04L69/00
摘要： This disclosure is directed to an apparatus for intelligent matching of disparate input data received from disparate input data systems in a complex computing network for establishing targeted communication to a computing device associated with the intelligently matched disparate input data.

2. 发明授权

US10504032B2 Intelligent signal matching of disparate input signals in complex computing networks 有权
公开(公告)号：US10504032B2
公开(公告)日：2019-12-10
申请号：US15470583
申请日：2017-03-27
申请人： RESEARCH NOW GROUP, INC.
发明人： Melanie D. Courtright , Vincent P. Derobertis , Michael D. Bigby , William C. Robinson , Greg Ellis , Heidi D. E. Wilton , John R. Rothwell , Jeremy S. Antoniuk
IPC分类号： G06N7/04 , H04W4/02 , H04L12/46 , H04L12/00 , G06F9/00 , H04L29/06 , H04L29/00
CPC分类号： G06N7/04 , G06F9/00 , H04L12/00 , H04L12/4625 , H04L29/06 , H04W4/02 , H04L29/00
摘要： This disclosure is directed to an apparatus for intelligent matching of disparate input signals received from disparate input signal systems in a complex computing network for establishing targeted communication to a computing device associated with the intelligently matched disparate input signals.

3. 发明申请

US20170228483A1 ANALYZING QUANTUM INFORMATION PROCESSING CIRCUITS 审中-公开
公开(公告)号：US20170228483A1
公开(公告)日：2017-08-10
申请号：US15301051
申请日：2015-11-06
申请人： RIGETTI & CO., INC.
发明人： Chad T. Rigetti , Eyob A. Sete
IPC分类号： G06F17/50
CPC分类号： G06F17/5036 , G06F17/5018 , G06F17/505 , G06F2217/12 , G06N7/00 , G06N7/04 , G06N99/00 , G06N99/002 , Y02P90/265
摘要： In a general aspect, a quantum information processing circuit is analyzed. In some implementations, a linear response function of a quantum information processing circuit is generated. A linear circuit model is generated based on the linear response function. A composite circuit model is generated by combining the linear circuit model and a nonlinear circuit model. An operating parameter of the quantum information processing circuit is computed by solving the composite circuit model. In some implementations, an electromagnetic structure solver determines the linear response function based on a circuit specification, a quantum circuit analysis tool calculates the operating parameters, and the circuit specification is modified based on the operating parameters.

4. 发明申请

US20160042278A1 PREDICTIVE ADJUSTMENT OF RESOURCE REFRESH IN A CONTENT DELIVERY NETWORK 审中-公开
标题翻译：在内容交付网络中进行资源调整的预测性调整
公开(公告)号：US20160042278A1
公开(公告)日：2016-02-11
申请号：US14452769
申请日：2014-08-06
申请人： International Business Machines Corporation
发明人： Aaron K. Baughman , Brian W. Jensen , Mauro Marzorati
IPC分类号： G06N5/04 , H04L29/06 , G06N7/00
CPC分类号： H04L67/2842 , G06N5/04 , G06N5/048 , G06N7/005 , G06N7/04 , G06N20/00
摘要： A set of features is identified in a resource provided from a Content Delivery Network (CDN), a feature causing a first information available in the resource at a first time to change to a second information in the resource at a second time responsive to an event. A set of weights is determined corresponding to the set of features. A weight is related to a corresponding feature in the set of features. Using the set of weights and the set of features to compute an entropy comprising a probability that the resource is going to change. Using the entropy, a stale probability is computed, comprising a probability that an outdated version of the resource is going to be served from a cache in the CDN at the second time. A refresh information is adjusted responsive to the stale probability exceeding a threshold probability.
摘要翻译：在从内容传送网络（CDN）提供的资源中识别一组特征，该功能使得资源中可用的第一信息在第一时间响应于事件在第二时间变为资源中的第二信息。根据特征集合确定一组权重。权重与特征集中的对应特征相关。使用权重集和特征集来计算包含资源将要改变的概率的熵。使用熵，计算陈旧的概率，其包括将在第二时间从CDN中的高速缓存提供资源的过时版本的概率。响应于超过阈值概率的陈旧概率来调整刷新信息。

5. 发明申请

US20140244566A1 Accurately Estimating the Audience of Digital Content 有权
标题翻译：准确估计数字内容的观众
公开(公告)号：US20140244566A1
公开(公告)日：2014-08-28
申请号：US13335611
申请日：2011-12-22
申请人： Edward L. Hewett , Eric V. Anderson , William Brandon George , Kevin G. Smith
发明人： Edward L. Hewett , Eric V. Anderson , William Brandon George , Kevin G. Smith
IPC分类号： G06N5/04
CPC分类号： G06Q30/0242 , G06N5/04 , G06N5/048 , G06N7/005 , G06N7/04 , G06N99/005
摘要： A method, system, and computer-readable storage medium are disclosed for accurately estimating the audience of digital content. A plurality of user interactions occurring on a digital device are received, wherein digital content is displayed on the digital device. Based on the plurality of user interactions, a total number of unique viewers of the digital content on the digital device is estimated.
摘要翻译：公开了一种用于准确估计数字内容的观众的方法，系统和计算机可读存储介质。接收在数字设备上发生的多个用户交互，其中数字内容被显示在数字设备上。基于多个用户交互，估计数字设备上的数字内容的唯一观看者的总数。

6. 发明申请

US20090228238A1 Combinational Stochastic Logic 有权
标题翻译：组合随机逻辑
公开(公告)号：US20090228238A1
公开(公告)日：2009-09-10
申请号：US12397754
申请日：2009-03-04
申请人： Vikash Kumar Mansinghka , Eric Michael Jonas
发明人： Vikash Kumar Mansinghka , Eric Michael Jonas
IPC分类号： G06F19/00
CPC分类号： G06N7/005 , G06N7/04
摘要： Circuits that solve stochastic problems and techniques for operating them. These natively stochastic circuits may produce samples from probability distributions of interest for particular stochastic problems, and may be combined together in any suitable way to yield potential solutions to stochastic problems. In some implementations, the stochastic circuits may generate samples from conditional probability distributions conditioned on input data provided to the stochastic circuits. The circuits may be constructed from multiple interconnected stochastic subcircuits such that a circuit may produce a sample from a joint probability distribution, or from a marginal distribution of a joint distribution. These circuits may be used to implement stochastic sampling algorithms to solve stochastic processes, and may include stochastic subcircuits that operate concurrently.
摘要翻译：解决随机问题和操作技术的电路。这些本地随机电路可以从特定随机问题的关注概率分布产生样本，并且可以以任何合适的方式组合在一起以产生随机问题的潜在解决方案。在一些实现中，随机电路可以根据提供给随机电路的输入数据进行条件概率分布来生成样本。电路可以由多个互连的随机子电路构成，使得电路可以从联合概率分布或从联合分布的边际分布产生样本。这些电路可以用于实现随机采样算法来解决随机过程，并且可以包括并发操作的随机子电路。

7. 发明授权

US07167845B2 Process for performing fuzzy procedures in processing devices, corresponding processing device and computer program product 有权
标题翻译：在处理设备，相应的处理设备和计算机程序产品中执行模糊程序的过程
公开(公告)号：US07167845B2
公开(公告)日：2007-01-23
申请号：US10931266
申请日：2004-08-30
申请人： Eusebio Di Cola , Federico Rivoli , Salvatore Lucio Ticli , Rosario Martorana
发明人： Eusebio Di Cola , Federico Rivoli , Salvatore Lucio Ticli , Rosario Martorana
IPC分类号： G06F15/18
CPC分类号： G06N7/04
摘要： A method and related system for performing fuzzy procedures in processing devices. The method provides for calculating a degree of activation of a fuzzy proposition represented by input values having a fuzzy set associated to a triangular or trapezoidal membership function. The membership function is defined by a defined range of the input values and by an abscissa of the maximum value assumed by said membership. The method includes storing solve values corresponding to the range of definition and to the abscissa of the maximum value. The degree of activation is calculated as a function of the stored solve values, and storing of solve values includes storing the values measured on the abscissa and further at least one value measured on the ordinate corresponding to the membership function.
摘要翻译：一种用于在处理设备中执行模糊过程的方法和相关系统。该方法提供计算由具有与三角形或梯形隶属函数相关联的模糊集的输入值表示的模糊命题的激活程度。隶属函数由输入值的定义范围和由所述成员假设的最大值的横坐标定义。该方法包括存储与定义范围对应的求解值和最大值的横坐标。根据存储的求解值来计算激活程度，并且求解值的存储包括存储在横坐标上测量的值以及进一步在与隶属函数对应的纵坐标上测量的值。

8. 发明授权

US06424957B1 Method and apparatus for parallel processing of fuzzy rules 失效
标题翻译：模糊规则并行处理的方法和装置
公开(公告)号：US06424957B1
公开(公告)日：2002-07-23
申请号：US08938117
申请日：1997-09-26
申请人： Vincenzo Matranga , Biagio Giacalone , Massimo Abruzzese
发明人： Vincenzo Matranga , Biagio Giacalone , Massimo Abruzzese
IPC分类号： G06F1518
CPC分类号： G06N7/04
摘要： Method and apparatus of parallel processing of multiple inference rules organized in fuzzy sets or logical functions of multiple fuzzy sets including membership functions defined in a so-called universe of discourse. The inference rules are configured essentially as IF-THEN rules with at least one antecedent preposition and at least one consequent implication. The prepositions have at least one term of comparison between membership functions and a plurality of input data and each term is separated by logical operators. The method associates with the logical operators maximum and minimum operations among two or more elements and calculates exhaustively the overall degree of truth (&OHgr;) of a rule with a maximum or minimum of N partial truth levels. The method is accomplished by a plurality of identical, parallel inferential processors. Each inferential processor determines a preposition or a partial truth level of a preposition.
摘要翻译：在多个模糊集合的模糊集或逻辑函数中组织的多个推理规则的并行处理的方法和装置，包括在所谓的话语世界中定义的隶属函数。推理规则基本上被配置为具有至少一个先行介词的IF-THEN规则和至少一个后果含义。介词具有至少一个术语的隶属函数和多个输入数据之间的比较，每个术语由逻辑运算符分隔。该方法与两个或更多个元素中的逻辑运算符最大和最小运算相关联，并且计算具有最大或最小N个部分真实级别的规则的总体真实度（OMEGA）。该方法由多个相同的并行推理处理器完成。每个推理处理器确定介词的介词或部分真实级别。

9. 发明授权

US06424956B1 Stochastic encoder/decoder/predictor 失效
标题翻译：随机编码器/解码器/预测器
公开(公告)号：US06424956B1
公开(公告)日：2002-07-23
申请号：US09271439
申请日：1999-03-18
申请人： Paul J. Werbos
发明人： Paul J. Werbos
IPC分类号： G06N702
CPC分类号： G06N7/04
摘要： An artificial intelligence system is provided which makes use of a dual subroutine to adapt weights. Elastic Fuzzy Logic (“ELF”) System is provided in which classical neural network learning techniques are combined with fuzzy logic techniques in order to accomplish artificial intelligence tasks such as pattern recognition, expert cloning and trajectory control. The system may be implemented in a computer provided with multiplier means and storage means for storing a vector of weights to be used as multiplier factors in an apparatus for fuzzy control.
摘要翻译：提供了一种人工智能系统，利用双子程序来改变权重。提供了弹性模糊逻辑（“ELF”）系统，其中经典神经网络学习技术与模糊逻辑技术相结合，以便完成人工智能任务，如模式识别，专家克隆和轨迹控制。该系统可以在具有乘法器装置和存储装置的计算机中实现，用于存储要用作模糊控制的装置中的乘数因子的权重向量。

10. 发明授权

US06256617B1 Fuzzy logic electronic processor 失效
标题翻译：模糊逻辑电子处理器
公开(公告)号：US06256617B1
公开(公告)日：2001-07-03
申请号：US08904514
申请日：1997-08-01
申请人： Antonino Cuce' , Enrico Pelos
发明人： Antonino Cuce' , Enrico Pelos
IPC分类号： G06F1518
CPC分类号： G06N7/04 , Y10S706/90
摘要： A processor operating in a fizzy logic's mode and including a fuzzyfication unit receiving a plurality of input variables on its input and being adapted to compute a membership value of such variables in a membership function, a processing unit connected downstream of the fuzzyfication unit to produce a fuzzy set, i.e. the results of fuzzy logic inference operations performed on the plurality of variables, and a defuzzyfication unit operative to translate the inference results into a so-called crisp value. The processor further includes a first memory device connected to the fuzzyfication unit and containing the set of membership functions, a second memory device connected to the defuzzyfication unit and containing the set of crisp value which appear in the THEN part of the fizzy rules, and a further memory device connected to the defuzzyfication unit.
摘要翻译：一种处理器，其操作方式为虚拟逻辑模式，包括：模糊单元，在其输入端接收多个输入变量，并适于计算隶属度函数中的这些变量的隶属度值;连接在模糊单元下游的处理单元，模糊集合，即对多个变量执行的模糊逻辑推理操作的结果，以及可操作以将推论结果转换成所谓的清晰值的解模糊单元。所述处理器还包括连接到所述模糊单元并且包含所述一组隶属函数的第一存储器设备，连接到所述去模糊单元并且包含出现在所述闪烁规则的所述THEN部分中的一组清晰值的第二存储器设备，以及另外的存储器件连接到除颤模块。

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