Patents Examined by Kakali Chaki
  • Patent number: 10679119
    Abstract: The present disclosure provides for generating a spiking neural network. Generating a spiking neural network can include determining that a first input fan-in from a plurality of input neurons to each of a plurality of output neurons is greater than a threshold, generating a plurality of intermediate neurons based on a determination that the first input fan-in is greater than the threshold, and coupling the plurality of intermediate neurons to the plurality of input neurons and the plurality of output neurons, wherein each of the plurality of intermediate neurons has a second input fan-in that is less than the first input fan-in and each of the plurality of output neurons has a third input fan-in that is less than the first input fan-in.
    Type: Grant
    Filed: March 24, 2017
    Date of Patent: June 9, 2020
    Assignee: INTEL CORPORATION
    Inventors: Arnab Paul, Narayan Srinivasa
  • Patent number: 10671937
    Abstract: A computational method via a hybrid processor comprising an analog processor and a digital processor includes determining a first classical spin configuration via the digital processor, determining preparatory biases toward the first classical spin configuration, programming an Ising problem and the preparatory biases in the analog processor via the digital processor, evolving the analog processor in a first direction, latching the state of the analog processor for a first dwell time, programming the analog processor to remove the preparatory biases via the digital processor, determining a tunneling energy via the digital processor, determining a second dwell time via the digital processor, evolving the analog processor in a second direction until the analog processor reaches the tunneling energy, and evolving the analog processor in the first direction until the analog processor reaches a second classical spin configuration.
    Type: Grant
    Filed: June 7, 2017
    Date of Patent: June 2, 2020
    Assignee: D-WAVE SYSTEMS INC.
    Inventors: Sheir Yarkoni, Trevor Michael Lanting, Kelly T. R. Boothby, Andrew Douglas King, Evgeny A. Andriyash, Mohammad H. Amin
  • Patent number: 10664719
    Abstract: Embodiments of the present invention provide an automated image tagging system that can predict a set of tags, along with relevance scores, that can be used for keyword-based image retrieval, image tag proposal, and image tag auto-completion based on user input. Initially, during training, a clustering technique is utilized to reduce cluster imbalance in the data that is input into a convolutional neural network (CNN) for training feature data. In embodiments, the clustering technique can also be utilized to compute data point similarity that can be utilized for tag propagation (to tag untagged images). During testing, a diversity based voting framework is utilized to overcome user tagging biases. In some embodiments, bigram re-weighting can down-weight a keyword that is likely to be part of a bigram based on a predicted tag set.
    Type: Grant
    Filed: February 12, 2016
    Date of Patent: May 26, 2020
    Assignee: ADOBE INC.
    Inventors: Zhe Lin, Xiaohui Shen, Jonathan Brandt, Jianming Zhang, Chen Fang
  • Patent number: 10664753
    Abstract: A method includes maintaining respective episodic memory data for each of multiple actions; receiving a current observation characterizing a current state of an environment being interacted with by an agent; processing the current observation using an embedding neural network in accordance with current values of parameters of the embedding neural network to generate a current key embedding for the current observation; for each action of the plurality of actions: determining the p nearest key embeddings in the episodic memory data for the action to the current key embedding according to a distance measure, and determining a Q value for the action from the return estimates mapped to by the p nearest key embeddings in the episodic memory data for the action; and selecting, using the Q values for the actions, an action from the multiple actions as the action to be performed by the agent.
    Type: Grant
    Filed: June 19, 2019
    Date of Patent: May 26, 2020
    Assignee: DeepMind Technologies Limited
    Inventors: Benigno Uria-Martínez, Alexander Pritzel, Charles Blundell, Adria Puigdomenech Badia
  • Patent number: 10657457
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.
    Type: Grant
    Filed: December 19, 2014
    Date of Patent: May 19, 2020
    Assignee: GROUPON, INC.
    Inventors: Shawn Ryan Jeffery, Nick Pendar, Mark Thomas Daly, Matthew DeLand, David Alan Johnston
  • Patent number: 10650311
    Abstract: A first user and a second user may exchange messages during a session and the exchanged messages may be processed to suggest resources to the first user. For example, the first user may be a customer service representative assisting a customer, and the suggested resources may include text of a message to send to the customer. The resources may be suggested by computing a semantic representation of the messages in the session, computing a context vector that describes a context of the session, computing a context hash vector from the context vector, and retrieving one or more resources from a data store of resources using the context hash vector. Information about a resource may be presented to the first user to assist the first user in responding to the second user.
    Type: Grant
    Filed: December 19, 2016
    Date of Patent: May 12, 2020
    Assignee: ASAAP, INC.
    Inventor: Shawn Henry
  • Patent number: 10628731
    Abstract: Systems and methods are provided for automatically scoring a constructed response. The constructed response is processed to generate a plurality of numerical vectors that is representative of the constructed response. A model is applied to the plurality of numerical vectors. The model includes an input layer configured to receive the plurality of numerical vectors, the input layer being connected to a following layer of the model via a first plurality of connections. Each of the connections has a first weight. An intermediate layer of nodes is configured to receive inputs from an immediately-preceding layer of the model via a second plurality of connections, each of the connections having a second weight. An output layer is connected to the intermediate layer via a third plurality of connections, each of the connections having a third weight. The output layer is configured to generate a score for the constructed response.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: April 21, 2020
    Assignee: Educational Testing Service
    Inventors: Derrick Higgins, Lei Chen, Michael Heilman, Klaus Zechner, Nitin Madnani
  • Patent number: 10628742
    Abstract: The present invention discloses a micro-grid distributed energy resource bidding method based on artificial immunity including the following steps: processing the collected information by a bidding unit agent to form artificial immune antigen of quotation environmental; performing solving based on artificial immune algorithm to obtain antibody meeting the interest of a distributed energy resource; and decoding the antibody to obtain a bidding scheme of the distributed energy resource. The present invention utilizes artificial immune intelligent algorithm with strong ability of information processing and self-adaption, thus solving the problem of uncontrollable bidding under complicated environment. Uncertainty problem resulted by the intermittent power supply is overcomed by the capability of self-adaption and defect tolerance of artificial immunity during bidding process. In addition, the coordination of entire micro-grid MAS is improves by coordinated evolution of artificial immunity.
    Type: Grant
    Filed: April 26, 2015
    Date of Patent: April 21, 2020
    Assignee: Tianjin University
    Inventor: Xiangyu Kong
  • Patent number: 10621522
    Abstract: An artificial intelligence system for predicting hours of operation for merchants. The system may include a processor, a database, and a storage medium storing instructions. When executed, the instructions configure the processor to: receive a request for hours of operation for the merchants; obtain, from the database, a set of credit card authorizations associated with the merchants; generate input model features based on the set of credit card authorizations; obtain ground-truth data associated with the merchants; generate a training dataset based on the ground truth data and the set of credit card authorizations; determine an hours-of-operation model based on the training data set; calculate the total prediction of hours of operation using the hours-of-operation model.
    Type: Grant
    Filed: January 4, 2018
    Date of Patent: April 14, 2020
    Assignee: Capital One Services, LLC
    Inventors: Ashish Bansal, Jonathan Stahlman
  • Patent number: 10621880
    Abstract: A method of generating secondary questions in a question-answer system. Missing information is identified from a corpus of data using a computerized device. The missing information comprises any information that improves confidence scores for candidate answers to a question. The computerized device automatically generates a plurality of hypotheses concerning the missing information. The computerized device automatically generates at least one secondary question based on each of the plurality of hypotheses. The hypotheses are ranked based on relative utility to determine an order in which the computerized device outputs the at least one secondary question to external sources to obtain responses.
    Type: Grant
    Filed: September 11, 2012
    Date of Patent: April 14, 2020
    Assignee: International Business Machines Corporation
    Inventors: Branimir K. Boguraev, David W. Buchanan, Jennifer Chu-Carroll, David A. Ferrucci, Aditya A. Kalyanpur, James W. Murdock, IV, Siddharth A. Patwardhan
  • Patent number: 10621505
    Abstract: There is disclosed a computer-implemented cloud computing scoring system. In an embodiment, a parser receives unstructured sentiment data commenting on a scored service. The parser identifies in the unstructured sentiment data a service category of the scored service. The parser selects from the unstructured sentiment data text relating to the service category and matching one or more opinionative words and phrases listed in a keyword dictionary, thereby producing a structured comment associated with the service category. The structured comment is classified as positive or negative according to a list of exemplary sentiment data sets contained in a learning seed file. The exemplary sentiment data sets are manually assigned a positive or a negative polarity. The learning seed file is configured for enhancement by the ongoing addition of structured sentiment data, the structured sentiment data commenting on the scored service and having a polarity classification.
    Type: Grant
    Filed: April 15, 2015
    Date of Patent: April 14, 2020
    Assignee: HYPERGRID, INC.
    Inventors: Jason Peter Monden, Daniel David Karmazyn, Perron Richard Sutton, Yi Zhou
  • Patent number: 10614725
    Abstract: A method of generating secondary questions in a question-answer system. Missing information is identified from a corpus of data using a computerized device. The missing information comprises any information that improves confidence scores for candidate answers to a question. The computerized device automatically generates a plurality of hypotheses concerning the missing information. The computerized device automatically generates at least one secondary question based on each of the plurality of hypotheses. The hypotheses are ranked based on relative utility to determine an order in which the computerized device outputs the at least one secondary question to external sources to obtain responses.
    Type: Grant
    Filed: September 11, 2012
    Date of Patent: April 7, 2020
    Assignee: International Business Machines Corporation
    Inventors: Branimir K. Boguraev, David W. Buchanan, Jennifer Chu-Carroll, David A. Ferrucci, Aditya A. Kalyanpur, James W. Murdock, IV, Siddharth A. Patwardhan
  • Patent number: 10592802
    Abstract: An electronic synapse is disclosed, comprising a heavy metal layer having a high spin orbit coupling, a domain wall magnet layer having a bottom surface adjacent to a top surface of the heavy metal layer, the domain wall magnet layer having a perpendicular magnetic anisotropy, the domain wall magnet layer having a domain wall, the domain wall running parallel to a longitudinal axis of the domain wall magnet layer, a pinned layer having perpendicular magnetic anisotropy, and an oxide tunnel barrier connected between the domain wall magnet layer and the pinned layer, wherein the pinned layer, the oxide tunnel barrier, and the free layer form a magnetic tunnel junction.
    Type: Grant
    Filed: February 28, 2017
    Date of Patent: March 17, 2020
    Assignee: Purdue Research Foundation
    Inventors: Abhronil Sengupta, Zubair Al Azim, Xuanyao Kelvin Fong, Kaushik Roy
  • Patent number: 10585823
    Abstract: A method, system, and computer program product for IO leveling comprising receiving an IO, determining if there is a delay for processing IO because of pending IO, based on a positive determination there is a delay for processing IO, determining a priority for the IO, and based on the priority of IO determining whether to process the IO.
    Type: Grant
    Filed: September 30, 2014
    Date of Patent: March 10, 2020
    Assignee: EMC IP Holding Company LLC
    Inventors: Arieh Don, Assaf Natanzon
  • Patent number: 10586161
    Abstract: A mechanism is provided in a data processing system for conducting error analysis for a question answering system. Responsive to the question answering system generating one or more candidate answers for an input question, wherein the one or more candidate answers are determined to be incorrect, the mechanism instantiates a plurality of instances of the question answering system with a modification to each instance. The mechanism provides the input question to each of the plurality of instances of the question answering system. The mechanism analyzes results from the plurality of instances of the question answering system to identify at least one modification that led to improved results. The mechanism presents a graphical output based on the analysis.
    Type: Grant
    Filed: November 3, 2015
    Date of Patent: March 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: John J. Anderson, Kathryn V. Banks, Blake J. Fox, Ravi S. Sinha
  • Patent number: 10586151
    Abstract: Some embodiments of the invention provide a novel method for training a multi-layer node network that mitigates against overfitting the adjustable parameters of the network for a particular problem. During training, the method of some embodiments adjusts the modifiable parameters of the network by iteratively identifying different interior-node, influence-attenuating masks that effectively specify different sampled networks of the multi-layer node network. An interior-node, influence-attenuating mask specifies attenuation parameters that are applied (1) to the outputs of the interior nodes of the network in some embodiments, (2) to the inputs of the interior nodes of the network in other embodiments, or (3) to the outputs and inputs of the interior nodes in still other embodiments. In each mask, the attenuation parameters can be any one of several values (e.g., three or more values) within a range of values (e.g., between 0 and 1).
    Type: Grant
    Filed: July 31, 2016
    Date of Patent: March 10, 2020
    Assignee: Perceive Corporation
    Inventor: Steven L. Teig
  • Patent number: 10570024
    Abstract: In this present disclosure, a computing implemented method is designed for predicting the effluent total nitrogen concentration (TN) in an urban wastewater treatment process (WWTP). The technology of this present disclosure is part of advanced manufacturing technology and belongs to both the field of control engineer and environment engineer. To improve the predicting efficiency, a recurrent self-organizing radial basis function (RBF) neural network (RSORBFNN) can adjust the structure and parameters simultaneously. This RSORBFNN is developed to implement this method, and then the proposed RSORBFNN-based method can predict the effluent TN concentration with acceptable accuracy. Moreover, online information of effluent TN concentration may be predicted by this computing implemented method to enhance the quality monitoring level to alleviate the current situation of wastewater and to strengthen the management of WWTP.
    Type: Grant
    Filed: December 23, 2016
    Date of Patent: February 25, 2020
    Assignee: Beijing University of Technology
    Inventors: Honggui Han, Yanan Guo, Junfei Qiao
  • Patent number: 10572819
    Abstract: A system, method, and computer program product for automatically selecting from a plurality of analytic algorithms a best performing analytic algorithm to apply to a dataset is provided. The automatically selecting from the plurality of analytic algorithms the best performing analytic algorithm to apply to the dataset enables a training a plurality of analytic algorithms on a plurality of subsets of the dataset. Then, a corresponding prediction accuracy trend is estimated across the subsets for each of the plurality of analytic algorithms to produce a plurality of accuracy trends. Next, the best performing analytic algorithm is selected and outputted from the plurality of analytic algorithms based on the corresponding prediction accuracy trend with a highest value from the plurality of accuracy trends.
    Type: Grant
    Filed: July 29, 2015
    Date of Patent: February 25, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Tamir Klinger, Chandrasekhara K. Reddy, Ashish Sabharwal, Horst C. Samulowitz, Gerald J. Tesauro, Deepak S. Turaga
  • Patent number: 10573190
    Abstract: A mechanism is provided in a data processing system for question answering using context features in closure form. The mechanism receives a function call comprising an input question and a set of non-local context evidence in closure form. The mechanism decomposes the input question into one or more queries and applies the one or more queries to a corpus of information to obtain a set of local hypothesis evidence. The mechanism generates hypotheses for answering the input question based on the local hypothesis evidence and the set of non-local context evidence.
    Type: Grant
    Filed: February 16, 2015
    Date of Patent: February 25, 2020
    Assignee: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Gary F. Diamanti, Mauro Marzorati, Elizabeth M. Valletti
  • Patent number: 10567190
    Abstract: A system is disclosed for anticipating and rendering unnecessary human action in a smart home or other connected environment. Sensor data and data from smart appliances may be used to determine and predict human user behavior to a degree that allows an automated system to act upon the appliances or other devices even before the human user is able to act, allowing the human user's past actions to program the automated system without conscious effort by the human user to define the conditions under which an action should be taken.
    Type: Grant
    Filed: August 10, 2018
    Date of Patent: February 18, 2020
    Inventor: Xiao Ming Mai