Patents Examined by David Vincent
  • Patent number: 9953260
    Abstract: Methods and systems for feature extraction of LIDAR surface manifolds. LIDAR point data with respect to one or more LIDAR surface manifolds can be generated. An AHAH-based feature extraction operation can be automatically performed on the point data for compression and processing thereof. The results of the AHAH-based feature extraction operation can be output as a compressed binary label representative of the at least one surface manifold rather than the point data to afford a high-degree of compression for transmission or further processing thereof. Additionally, one or more voxels of a LIDAR point cloud composed of the point data can be scanned in order to recover the compressed binary label, which represents prototypical surface patches with respect to the LIDAR surface manifold(s).
    Type: Grant
    Filed: January 3, 2017
    Date of Patent: April 24, 2018
    Assignee: KnowmTech, LLC
    Inventor: Alex Nugent
  • Patent number: 9940581
    Abstract: An approach for distinguishing a business rule from a non-business rule in a computer program is provided. A rule in the program is identified based on a conditional statement within the rule. Whether the rule performs underlying operation of the program independent of a business function of the program is determined. The rule and metadata of the rule are searched for a key word which indicates part of a business transaction. Whether a sequence of program steps in the rule matches a predetermined sequence of program steps indicative of a business rule or whether the sequence of program steps in the rule matches a predetermined sequence of program steps indicative of underlying operation of the program independent of the business function of the program is determined. If the rule is a business rule is determined based on both determining steps and both searching steps.
    Type: Grant
    Filed: November 20, 2013
    Date of Patent: April 10, 2018
    Assignee: International Business Machines Corporation
    Inventors: James E. Bostick, John M. Ganci, Jr., Paul E. Hensler, Craig M. Trim
  • Patent number: 9940583
    Abstract: This disclosure is directed at least partly to a cloud prediction device that provides information to a kiosk. The cloud prediction device may receive information from a user device associated with a user, such as travel information, itineraries, calendar events, emails, etc, which may be used to determine the information. The information may also include user preferences, user recommendations, and/or historical data that may be used to determine content to be provided by the kiosk for the user and/or other users. The kiosk may provide innovative user interfaces to engage a user and provide high speed data transfer of content to a user device associated with the user. The kiosk may be located in frequently visited locations such as travel terminals or public spaces.
    Type: Grant
    Filed: September 26, 2014
    Date of Patent: April 10, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Biju Balakrishna Pillai, Kenneth Mark Karakotsios, Peter Cheng, David Wayne Stafford, Stephen Vincent Mangiat, Yi Ding
  • Patent number: 9922290
    Abstract: A pair of records is tokenized to form a normalized representation of an entity represented by each record. The tokens are correlated to a machine learning system by determining whether a learned resolution already exists for the two entities. If not, the normalized records are compared to generate a comparison measure to determine whether the records match. The normalized records can also be used to perform a web search and web search results can be normalized and used as additional records for matching. When a match is found, the records are updated to indicate that they match, and the match is provided to the machine learning system to update the learned resolutions.
    Type: Grant
    Filed: August 12, 2014
    Date of Patent: March 20, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Satish J. Thomas, Murtaza Muidul Huda Chowdhury
  • Patent number: 9922293
    Abstract: Methods and systems for implementing experimental trials on utility grids. Variations in grid parameters are selected to introduce into utility grids to improve the value of learning from each experimental trial and promoting improved utility grid performance by computing expected values for both learning and grid performance. Those trials are used to manage the opportunity costs and constraints that affect the introduction of variations into utility grid parameters and the generation of valid data that can be attributed to particular variations in utility grid parameters.
    Type: Grant
    Filed: July 14, 2015
    Date of Patent: March 20, 2018
    Assignee: 3M INNOVATIVE PROPERTIES COMPANY
    Inventors: Brian E. Brooks, Yang Lu, Andrew T. Tio, Chong Yang Ong, Gilles J. Benoit
  • Patent number: 9916541
    Abstract: An information processing apparatus includes a history acquisition section configured to acquire history data including a history indicating that a plurality of selection subjects have selected selection objects; a learning processing section configured to allow a choice model to learn a preference of each selection subject for a feature and an environmental dependence of selection of each selection object in each selection environment using the history data, where the choice model uses a feature value possessed by each selection object, the preference of each selection subject for the feature, and the environmental dependence indicative of ease of selection of each selection object in each of a plurality of selection environments to calculate a selectability with which each of the plurality of selection subjects selects each selection object; and an output section configured to output results of learning by the learning processing section.
    Type: Grant
    Filed: December 14, 2015
    Date of Patent: March 13, 2018
    Assignee: International Business Machines Corporation
    Inventors: Takayuki Katsuki, Takayuki Osogami
  • Patent number: 9892368
    Abstract: Method and device of selecting training parameters for training a model are disclosed. The method includes: (1) setting a precision requirement for the model, and a first parameter value interval defined by an upper limit and a lower limit; (2) obtaining a first value point and a second value point within the first parameter value interval; (3) obtaining and comparing respective first and second error rates by respectively setting the training parameter at the first and second value points for the model; (4) updating three values out of the upper limit, the lower limit, the first value point and the second value point; (5) repeating steps (3) and (4), until the precision requirement is net by the respective first and second value points; and (6) obtaining the optimal value of the training parameter.
    Type: Grant
    Filed: June 20, 2016
    Date of Patent: February 13, 2018
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventor: Xiaoping Wu
  • Patent number: 9881134
    Abstract: A medical general intelligence computer system and computer-implemented methods analyze morpho-physiological numbers for determining a risk of an emergent disease state, determining an emergent disease state, predicting a pre-emergent disease state, determining a pre-emergent disease state, and/or predicting a risk of a pre-emergent disease state.
    Type: Grant
    Filed: May 28, 2013
    Date of Patent: January 30, 2018
    Assignee: Renew Group Private Limited
    Inventor: James B. Seward
  • Patent number: 9882863
    Abstract: Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
    Type: Grant
    Filed: February 27, 2017
    Date of Patent: January 30, 2018
    Assignee: Facebook, Inc.
    Inventors: Lex Arquette, David Y. Chen, Emily B. Grewal, Denise Moreno, Florin Ratiu, Yanxin Shi, Kiranjit Singh Sidhu, Ching-Chih Weng, Huan Yang
  • Patent number: 9871715
    Abstract: Methods and systems for decoding communication protocols having an unknown structure. In the disclosed embodiments, a decoding system analyzes network traffic that uses such a communication protocol, and semi-automatically generates a structured template for decoding the protocol. In an example embodiment, the traffic comprises HTTP transactions used in some unknown variant of a Web-based e-mail or social network application, and the system generates an Extensible Markup Language (XML) template for parsing such transactions. The system enables an analyst to review sample transactions, and identify target components of the protocol that contain target information of interest. The system typically generates a set of rules with the assistance of the analyst.
    Type: Grant
    Filed: July 3, 2014
    Date of Patent: January 16, 2018
    Assignee: VERINT SYSTEMS LTD.
    Inventors: Rachel Avidian, Maor Korakin
  • Patent number: 9870383
    Abstract: The disclosed embodiments describe a method, an apparatus, an application specific integrated circuit, and a server that provides a fast and efficient look up for data analysis. The apparatus and server may be configured to obtain data segments from a plurality of input devices. The data segments may be individual unique subsets of the entire data set obtained by a plurality input devices. A hash function may be applied to an aggregated set of the data segments. A result of the hash function may be stored in a data structure. A codebook may be generated from the hash function results.
    Type: Grant
    Filed: April 10, 2015
    Date of Patent: January 16, 2018
    Assignee: GOOGLE LLC
    Inventor: Jay Yagnik
  • Patent number: 9870531
    Abstract: Systems, methods, and computer-readable media for generating a data set are provided. One method includes generating a data set based on input data using a plurality of brokers. The method further includes receiving a request from a user and determining whether the request can be fulfilled using data currently in the data set. When the request can be fulfilled using data currently in the data set, the data is accessed using broker(s) configured to provide access to data within the data set. When the request cannot be fulfilled using data currently in the data set, at least one new broker is spawned using existing broker(s) and additional data needed to fulfill the request is added to the data set using the new broker. The method further includes generating a response to the request using one or more of the plurality of brokers.
    Type: Grant
    Filed: May 17, 2016
    Date of Patent: January 16, 2018
    Assignee: Virginia Polytechnic Institute and State University
    Inventors: Christopher L. Barrett, Madhav V. Marathe, Keith R. Bisset
  • Patent number: 9864952
    Abstract: In a system for knowledge system management, the system includes: a processor; and a memory coupled to the processor, wherein the memory has stored thereon instructions that, when executed by the processor, cause the processor to: receive a question from a customer; determine whether to not the question satisfies a first criterion for obtaining an automated response to the question; in response to determining that the question satisfies the first criterion, transmit the question to a knowledge system for generating automated responses to questions; receive the automated response to the question from the knowledge system; determine whether or not the automated response satisfies a second criterion for providing the automated response to the customer; and in response to determining that the automated response satisfies the second criterion, transmit the automated response to an electronic device operated by the customer.
    Type: Grant
    Filed: July 31, 2014
    Date of Patent: January 9, 2018
    Assignee: GENESYS TELECOMMUNICATIONS LABORATORIES, INC.
    Inventors: Cliff W. Bell, Daniel S. Stoops
  • Patent number: 9864841
    Abstract: A medical general intelligence computer system and computer-implemented methods analyze morpho-physiological numbers for determining a risk of an emergent disease state, determining an emergent disease state, predicting a pre-emergent disease state, determining a pre-emergent disease state, and/or predicting a risk of a pre-emergent disease state.
    Type: Grant
    Filed: January 30, 2017
    Date of Patent: January 9, 2018
    Assignee: Renew Group Pte. Ltd.
    Inventor: James B Seward
  • Patent number: 9857073
    Abstract: A system and method to control of sootblowers in a fossil fueled power plant, in particular to plant applications systems using a graphical programming environment in combination with a set of rules to activate sootblowers. The system can be constrained by time limits and/or rule based time limits. Actual blower activation is typically based on the current status of key control variables in the process which alter the actual activation time within a constraints system. The system does not typically require knowledge or models of specific cleanliness relationships. The result is a system without sequences or queues that readily adapts to changing system conditions.
    Type: Grant
    Filed: June 6, 2016
    Date of Patent: January 2, 2018
    Inventor: Brad Radl
  • Patent number: 9846844
    Abstract: A computer-implemented method of evaluating information confidence based on a cognitive trait of a user, is provided, the method including receiving information from a user as an answer to a question in an active learning question and answer system; monitoring a user for a cognitive behavior indicator when the user is providing the information; determining a cognitive trait based on the cognitive behavior indicator; determining a quantified level of information confidence for the information based on the cognitive trait; and annotating the information with the cognitive trait and the quantified level of information confidence. A system and a computer program product for evaluating information confidence based on a cognitive behavior of a user are also provided.
    Type: Grant
    Filed: November 25, 2015
    Date of Patent: December 19, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jae-Lyn Hecht, James R. Kozloski, Fang Lu, Azadeh Salehi
  • Patent number: 9842298
    Abstract: Methods and apparatus related to determining an inquiry to provide to a user based on deficient information related to a plan of the user. Deficient information may be determined based on an insufficient association between a desired information item of the plan and a set of information items that are determined from one or more sources associated with the user. In some implementations, the user may provide, responsive to the inquiry, additional information related to the deficient information and a suggestion may be provided to the user based on the additional information.
    Type: Grant
    Filed: July 1, 2014
    Date of Patent: December 12, 2017
    Assignee: GOOGLE LLC
    Inventors: Andrew Theodore Wansley, Amay Nitin Champaneria, Frederick Peter Brewin, Jason Luther Smart
  • Patent number: 9842129
    Abstract: The present invention discloses methods, systems, and tools for evaluating a number of value significance measures of ontological subjects of compositions or networks. The method breaks a composition into its constituent ontological subjects of different orders and builds a participation matrix indicating the participation of ontological subjects of the composition in other ontological subjects, i.e. the partitions, of the composition. Using the participation information of the OSs into each other, an association strength matrix is built from which the value significance measures of the partitions of the composition are calculated. The methods systematically calculate the value significances of the ontological subjects of different orders of the composition. Various systems for implementing the methods and some exemplary applications and services are disclosed.
    Type: Grant
    Filed: January 28, 2015
    Date of Patent: December 12, 2017
    Assignee: Hamid Hatami-Hanza
    Inventor: Hamid Hatami-Hanza
  • Patent number: 9836692
    Abstract: Methods, systems, and computer storage media for implementing neural networks in fixed point arithmetic computing systems. In one aspect, a method includes the actions of receiving a request to process a neural network using a processing system that performs neural network computations using fixed point arithmetic; for each node of each layer of the neural network, determining a respective scaling value for the node from the respective set of floating point weight values for the node; and converting each floating point weight value of the node into a corresponding fixed point weight value using the respective scaling value for the node to generate a set of fixed point weight values for the node; and providing the sets of fixed point floating point weight values for the nodes to the processing system for use in processing inputs using the neural network.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: December 5, 2017
    Assignee: Google Inc.
    Inventor: William John Gulland
  • Patent number: 9830982
    Abstract: A method for operating a neuromorphic memory circuit. The method includes accumulating a dendrite LIF charge over time on a conductive dendrite LIF line. A first transmitting operation transmits an axon LIF pulse on a conductive axon LIF line. A first switching operation switches on a LIF transistor by the axon LIF pulse such that the LIF transistor provides a discharge path for the dendrite LIF charge through a programmable resistive memory element when the axon LIF line transmits the axon LIF pulse. A second transmitting operation transmits a dendrite STDP pulse if the dendrite LIF charge falls below a threshold voltage. A third transmitting operation transmits an axon STDP pulse on a conductive axon STDP line. A second switching operation switches on a STDP transistor by the axon STDP pulse. The STDP transistor provides an electrical path for the dendrite STDP pulse through the programmable resistive memory element when the axon STDP line transmits the axon STDP pulse.
    Type: Grant
    Filed: June 24, 2015
    Date of Patent: November 28, 2017
    Assignee: International Business Machines Corporation
    Inventors: SangBum Kim, Chung H. Lam