Patents Examined by Kakali Chaki
  • Patent number: 9977411
    Abstract: A machine learning apparatus that learns a condition associated with a gain of a magnetic flux controller and a time constant of a magnetic flux estimator in a motor control apparatus includes: a state observation unit that observes a state variable defined by at least one of data relating to an acceleration of a motor, data relating to a jerk of the motor, and data relating to an acceleration time of the motor; and a learning unit that learns the condition associated with the gain of the magnetic flux controller and the time constant of the magnetic flux estimator in accordance with a training data set defined by the state variable.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: May 22, 2018
    Inventor: Yuuki Morita
  • Patent number: 9953267
    Abstract: A control method of the present disclosure is a control method of an information processing apparatus which includes a storage unit that stores predetermined resource information related to a resource required for a living activity of a user, the method including: an acquiring step of acquiring device information; an estimating step of estimating a living activity of the user; a competition extracting step of extracting a living activity group including living activities for which the resources are likely to compete among the living activities, based on the resource information; a resource judging step of judging whether a required resource has been secured for each of the living activities, based on the device information and the resource information; and an inhibition extracting step of extracting, as an inhibited living activity, a living activity for which it has been judged that the required resource has not been secured.
    Type: Grant
    Filed: September 25, 2013
    Date of Patent: April 24, 2018
    Inventors: Tomoaki Maruyama, Kotaro Sakata, Kenji Kondo, Masayoshi Tojima, Hiroaki Yamamoto
  • Patent number: 9934470
    Abstract: Production equipment according to an embodiment of the present invention includes a machine learning system and an assembly and test unit. The assembly and test unit chooses components from component groups having different characteristic values, assembles the chosen components into a product, and tests the assembled product. The machine learning system includes a state observer for observing a test result of the product and the inventory amounts of the components grouped based on the characteristic values of the components; a reward calculator for calculating a reward based on the test result and the inventory amounts; an artificial intelligence for determining an action value based on an observation result by the state observer and the reward calculated by the reward calculator; and a decision maker for choosing components to be used in the next product assembly from the component groups based on a determination result by the artificial intelligence.
    Type: Grant
    Filed: September 29, 2016
    Date of Patent: April 3, 2018
    Inventor: Taku Sasaki
  • Patent number: 9922291
    Abstract: A method and apparatus for providing personalized configuration of physical supports for the human body, comprising accepting input including an individual's demographic information, neurological attributes, physical history, operational environment, and outcome or use objectives, processing user input employing an artificial intelligence engine, and then returning guidance and/or control parameters directed to seating adjustment and positioning, including incline angles for wheelchair tilt and recline.
    Type: Grant
    Filed: February 26, 2015
    Date of Patent: March 20, 2018
    Assignee: University of Central Oklahoma
    Inventor: Jicheng Fu
  • Patent number: 9916538
    Abstract: Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), Big Data analytics, machine learning, training schemes, crowd-sourcing (experts), feature space, clustering, classification, SVM, similarity measures, modified Boltzmann Machines, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g.
    Type: Grant
    Filed: March 18, 2014
    Date of Patent: March 13, 2018
    Inventors: Lotfi A. Zadeh, Saied Tadayon, Bijan Tadayon
  • Patent number: 9916536
    Abstract: Certain relationships representing material insights are identified from among a set of discovered relationships. Cognitive discovery of relationships in a knowledge base, or corpus, are ranked according to one or more metrics indicative of material insights, including recentness and degree of alignment.
    Type: Grant
    Filed: May 25, 2016
    Date of Patent: March 13, 2018
    Assignee: International Business Machines Corporation
    Inventors: John B. Gordon, John P. Hogan, Sanjay F. Kottaram
  • Patent number: 9904889
    Abstract: Methods, systems and apparatus that provide for perceptual, cognitive, and motor behaviors in an integrated system implemented using neural architectures. Components of the system communicate using artificial neurons that implement neural networks. The connections between these networks form representations—referred to as semantic pointers—which model the various firing patterns of biological neural network connections. Semantic pointers can be thought of as elements of a neural vector space, and can implement a form of abstraction level filtering or compression, in which high-dimensional structures can be abstracted one or more times thereby reducing the number of dimensions needed to represent a particular structure.
    Type: Grant
    Filed: December 2, 2013
    Date of Patent: February 27, 2018
    Inventors: Christopher David Eliasmith, Terrence Charles Stewart, Feng-Xuan Choo, Trevor William Bekolay, Travis Crncich-DeWolf, Yichuan Tang, Daniel Halden Rasmussen
  • Patent number: 9892366
    Abstract: The disclosed embodiments include a method, apparatus, and computer program product for generating facies definition. One embodiment is a computer-implemented method that includes the steps of receiving well logging data indicative of one or more properties of geologic formations penetrated by one or more wellbores, wherein no assumptions are being introduced to the well logging data; determining a type well; developing an appropriate scaling of the well logging data based on the type well; creating a training set by drawing samples from the well logging data at random depths; modifying the training set to remove interfering data; performing an unsupervised classification procedure on the training set to group samples in the training set; comparing a suite of values of the well logging data in the groups to classify lithofacies of the type well; develop classification functions; and classifying unknown wells using the classification functions to generate the facies definition.
    Type: Grant
    Filed: February 28, 2014
    Date of Patent: February 13, 2018
    Inventor: Joel Leo Gevirtz
  • Patent number: 9886670
    Abstract: A first representation of a feature processing recipe is received at a machine learning service. The recipe includes a section in which groups of variables on which common transformations are to be applied are defined, and a section in which a set of transformation operations are specified. The first representation of the recipe is validated based at least in part on a library of function definitions supported by the service, and an executable version of the recipe is generated. In response to a determination that the recipe is to be executed on a particular data set, a set of provider network resources is used to implement a transformation operation indicated in the recipe.
    Type: Grant
    Filed: June 30, 2014
    Date of Patent: February 6, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Leo Parker Dirac, Tarun Agarwal
  • Patent number: 9881253
    Abstract: A sensor system comprises: an energy storage device; an intermittent energy release device electrically coupled to the energy storage device, wherein the intermittent energy release device causes the energy storage device to release stored energy intermittently; a sensor electrically coupled to the energy storage device; a register electrically coupled to the sensor, wherein the register stores readings from the sensor; a synaptic neural network core electrically coupled to the sensor, wherein the synaptic neural network core converts the readings from the sensor into a synthetic context-based object that is derived from the readings and a context object; a transponder electrically coupled to the synaptic neural network core; and a storage buffer within the transponder, wherein the storage buffer stores the synthetic context-based object for transmission by the transponder to a monitoring system.
    Type: Grant
    Filed: November 7, 2014
    Date of Patent: January 30, 2018
    Assignee: International Business Machines Corporation
    Inventors: Samuel S. Adams, Wendy A. Belluomini, Robert R. Friedlander, James R. Kraemer
  • Patent number: 9858531
    Abstract: A modular quantum computer architecture is developed with a hierarchy of interactions that can scale to very large numbers of qubits. Local entangling quantum gates between qubit memories within a single modular register are accomplished using natural interactions between the qubits, and entanglement between separate modular registers is completed via a probabilistic photonic interface between qubits in different registers, even over large distances. This architecture is suitable for the implementation of complex quantum circuits utilizing the flexible connectivity provided by a reconfigurable photonic interconnect network. The subject architecture is made fault-tolerant which is a prerequisite for scalability.
    Type: Grant
    Filed: August 1, 2014
    Date of Patent: January 2, 2018
    Assignees: University of Maryland, Duke University, University of British Columbia
    Inventors: Christopher Monroe, Jungsang Kim, Robert Raussendorf
  • Patent number: 9818058
    Abstract: Embodiments of the invention relate to a time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a universal substrate of adaptation. One embodiment comprises a neurosynaptic device including a memory device that maintains neuron attributes for multiple neurons. The module further includes multiple bit maps that maintain incoming firing events for different periods of delay and a multi-way processor. The processor includes a memory array that maintains a plurality of synaptic weights. The processor integrates incoming firing events in a time-division multiplexing manner. Incoming firing events are integrated based on the neuron attributes and the synaptic weights maintained.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: November 14, 2017
    Assignee: International Business Machines Corporation
    Inventors: John V. Arthur, Bernard V. Brezzo, Leland Chang, Daniel J. Friedman, Paul A. Merolla, Dharmendra S. Modha, Robert K. Montoye, Jae-sun Seo, Jose A. Tierno
  • Patent number: 9805303
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing a layer output for a convolutional neural network layer, the method comprising: receiving a plurality of activation inputs; forming a plurality of vector inputs from the plurality of activation inputs, each vector input comprising values from a distinct region within the multi-dimensional matrix; sending the plurality of vector inputs to one or more cells along a first dimension of the systolic array; generating a plurality of rotated kernel structures from each of the plurality of kernel; sending each kernel structure and each rotated kernel structure to one or more cells along a second dimension of the systolic array; causing the systolic array to generate an accumulated output based on the plurality of value inputs and the plurality of kernels; and generating the layer output from the accumulated output.
    Type: Grant
    Filed: September 3, 2015
    Date of Patent: October 31, 2017
    Assignee: Google Inc.
    Inventors: Jonathan Ross, Gregory Michael Thorson
  • Patent number: 9805302
    Abstract: A synapse circuit to perform spike timing dependent plasticity (STDP) operation is provided. The synapse circuit includes a memristor having a resistance value, a transistor connected to the memristor, and the transistor configured to receive at least two input signals. The resistance value of the memristor is changed based on a time difference between the at least two input signals received by the transistor.
    Type: Grant
    Filed: March 14, 2014
    Date of Patent: October 31, 2017
    Assignees: Samsung Electronics Co., Ltd., Postech Academy-Industry Foundation
    Inventors: Jun Seok Kim, Jae Yoon Sim, Hyun Surk Ryu
  • Patent number: 9798975
    Abstract: A production rules engine comprises: a class loader for loading a production rule ontology into a rule engine; a class loader for loading production rules into the rule engine, wherein a production rule comprises a rule and an action defined in the production rule ontology; instance creation logic for creating instances of production rules; a reasoner for executing the production rules and for locating an instance of a production rule having an inconsistency between an action to change the ontology and the existing ontology and for executing the production rules after inconsistencies have been fixed; a constraint engine for locating a solution to an inconsistent ontology; and a fixer for updating the inconsistent ontology with the located solution.
    Type: Grant
    Filed: January 2, 2014
    Date of Patent: October 24, 2017
    Assignee: International Business Machines Corporation
    Inventors: Hugues Citeau, Adil El Ghali
  • Patent number: 9798973
    Abstract: A method, system, and/or computer program product performs rule execution in decision services. One or more specialized rulesets classified by decision partitions are based on defined clustering predicates of decision service signatures for business rules. A decision request is received from a client, and one or more parameters of the decision request are input to a clustering predicate based on decision service signatures to produce a decision category. A specialized ruleset for the decision request is determined based on the decision category, and the decision request is forwarded for processing to the specialized ruleset. A decision input is then returned from the specialized ruleset.
    Type: Grant
    Filed: August 16, 2013
    Date of Patent: October 24, 2017
    Assignee: International Business Machines Corporation
    Inventors: Thomas Baudel, Pierre D. Feillet
  • Patent number: 9794199
    Abstract: In one aspect, the invention concerns a method of operating a chatbot to engage in a conversation with a correspondent the method comprises building a profile having plural profile variables for the correspondent; and during the conversation with the correspondent; selecting a node in the conversation data structure for processing based on the one or more profile variables, and processing the node to follow a conversation path based on the node's coded instructions and/or relationship with other nodes. In another aspect, the method comprises the steps of attempting to match the received input message with a node in the conversation data structure of the chatbot; if a matched node is found, selecting the matched node for processing; but if a matched node is not found, selecting a node for processing using a fuzzy search, or using a default procedure.
    Type: Grant
    Filed: May 27, 2016
    Date of Patent: October 17, 2017
    Assignee: International Business Machines Corporation
    Inventors: Liesl Jane Capper, John Zakos, Glenys Anne Westwood McLaughlin
  • Patent number: 9779355
    Abstract: Technical solutions are described for implementing a neural network. An example system includes a crosspoint array including a plurality of nodes, each node representing a weight assigned to a neuron of the neural network. The system also includes a capacitor associated with a set of nodes from the plurality of nodes, where the capacitor is configured to store a current value corresponding to a sum of outputs from each respective node from the set of nodes. The system also includes a clocking circuit that initiates a forward pass to propagate the current value stored in the capacitor to a subsequent layer of the neural network. The clocking circuit further initiates a backward pass to propagate the current value stored in the capacitor to a preceding layer of the neural network. The clocking circuit further initiates a weight-update pass to update the weights in the neural network.
    Type: Grant
    Filed: September 15, 2016
    Date of Patent: October 3, 2017
    Inventor: Effendi Leobandung
  • Patent number: 9779191
    Abstract: Embodiments of an apparatus and method for assessing non-kinetic weapon performance for negating missile threats are generally described herein. In some embodiments, vulnerabilities of missile threats and techniques for negating the threats are identified. A probability of negation associated with an effectiveness of each of the techniques against the vulnerabilities is calculated. The calculated probability of negation of each technique against each vulnerability are conditioned at a plurality of times associated with a plurality of asymmetric missile defense (AMD) layer elements to produce temporal level probabilities of negation. Each temporal level probabilities of negation are conditioned based on a probability of validation of deployment and a probability of verification of mitigation to produce a battle damage assessment probability of negation.
    Type: Grant
    Filed: February 20, 2014
    Date of Patent: October 3, 2017
    Assignee: Raytheon Company
    Inventors: Paul C. Hershey, Robert E. Dehnert, Jr., John J. Williams, John N. Carbone, Jeanne M. Robinson, David J. Wisniewski
  • Patent number: 9773044
    Abstract: Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.
    Type: Grant
    Filed: March 11, 2013
    Date of Patent: September 26, 2017
    Inventors: Joel C. Dubbels, Thomas J. Eggebraaten, Mark G. Megerian, William C. Rapp, Richard J. Stevens, Patrick M. Wildt, Eric W. Will