Genetic Algorithm And Genetic Programming System Patents (Class 706/13)
  • Patent number: 11494859
    Abstract: An embodiment of the present invention is directed to allowing permissioned legal entity managers to define rules for a legal entity to derive an association of an application with a legal entity. The application manager may then be presented with an option to accept suggested associations or perform an override. Once a legal entity is ready, applications may be published to a system of record. Due to the vast amount of applications and entities available, the solution provides automation while still allowing overrides. The results of the classification may then be stored in a system of record and data quality suggestions sent to the source systems to clean source system data. An embodiment of the present invention may also associate other attributes to applications and deployments.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: November 8, 2022
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventors: Alan Scully, Justin Clarke, Elliott Adler, SonasalaMuthu Kuppusamy
  • Patent number: 11477166
    Abstract: Described herein is a process which facilitates segmented security between domain-specific data sets being evaluated as part of a candidate evaluation service and third-party evolution services, wherein the data sets are not transmitted to the evolution service which is evolving candidates for evaluation. This enables customers with secure data sets to use candidate evolution services securely by obtaining a population of potentially optimal candidate models to evaluate and then optimizing on those data sets in their own secure fashion.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: October 18, 2022
    Assignee: Cognizant Technology Solutions U.S. Corporation
    Inventors: Daniel E. Fink, Olivier Francon
  • Patent number: 11461515
    Abstract: An optimization apparatus includes an output data acquirer to acquire output data expressing a result of experiment or simulation based input parameters, input/output data storage to store the input parameters and the output data corresponding to the input parameters, as a pair, an evaluation value calculator to calculate evaluation values of the output data, an input parameter converter to generate conversion parameters of a dimension number changed from the dimension number of the input parameters, a next-input parameter decider to decide next input parameters based on pairs of the conversion parameters and the evaluation values corresponding to the conversion parameters, and a repetition determiner to repeat operations of the output data acquirer, the input/output data storage, the evaluation value calculator, the input parameter converter, and the next-input parameter decider, until satisfying a predetermined condition.
    Type: Grant
    Filed: March 8, 2019
    Date of Patent: October 4, 2022
    Assignees: KABUSHIKI KAISHA TOSHIBA, KIOXIA CORPORATION
    Inventors: Daiki Kiribuchi, Takeichiro Nishikawa, Satoru Yokota, Ryota Narasaki, Soh Koike
  • Patent number: 11461580
    Abstract: One or more processors access a plurality of messages from a discussion community and determine concept topics and metadata of the messages. A graph of the concept topics and messages is generated with messages and concept topics as nodes and connection strength between nodes as edges. Distances between nodes correspond to computed weights of edges. A low boundary distance threshold is calculated based on the aggregate distances between existing messages and concept topics of the graph. A distance is computed between new concept topics of a received message and existing messages and concept topics. A distance between the new concept topics of the received message and existing nodes is determined and compared to the boundary distance threshold of the graph, and responsive to determined distance falling below the boundary threshold, an action is performed to anchor the new concept topics of the received message in the discussion community.
    Type: Grant
    Filed: November 5, 2019
    Date of Patent: October 4, 2022
    Assignee: International Business Machines Corporation
    Inventors: Paul R. Bastide, Matthew E. Broomhall, Liam S. Harpur, Robert E. Loredo
  • Patent number: 11461656
    Abstract: An information processing device according to one embodiment includes a processor. The processor executes an acquisition step of acquiring a plurality of partial layers as a gene pool, the partial layers being candidates for elements of a deep learning model, a generation step of generating a new partial layer from the gene pool by using genetic programming, an evaluation step of evaluating each partial layer by incorporating, into a template of the deep learning model, each partial layer in the gene pool to which the new partial layer is added, and determining a plurality of partial layers to remain in the gene pool, and an output step of outputting the deep learning model into which the partial layer with a highest evaluation value is incorporated.
    Type: Grant
    Filed: March 15, 2017
    Date of Patent: October 4, 2022
    Assignee: Rakuten Group Inc.
    Inventor: Hiromi Hirano
  • Patent number: 11416745
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for adversarial training of a neural network. One of the methods includes obtaining a plurality of training inputs; and training the neural network on each of the training inputs, comprising, for each of the training inputs: processing the training input using the neural network to determine a neural network output for the training input; applying a perturbation to the training input to generate an adversarial perturbation of the training input; processing the adversarial perturbation of the training input using the neural network to determine a neural network output for the adversarial perturbation; and adjusting the current values of the parameters of the neural network by performing an iteration of a neural network training procedure to optimize an adversarial objective function.
    Type: Grant
    Filed: November 22, 2019
    Date of Patent: August 16, 2022
    Assignee: Google LLC
    Inventors: Christian Szegedy, Ian Goodfellow
  • Patent number: 11416649
    Abstract: A method of classifying design criteria includes receiving design criteria for a product part. The criteria comprise one or both of performance and manufacturing criteria. The design criteria are sorted into different classes of one or both of one or more objective functions and one or more constraints based on when they can be satisfied or optimized. Constraint violations are determined. A design workflow is produced to generate one or more designs of a part to comply with one or more of satisfying constraints and optimizing objective functions.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: August 16, 2022
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Amirmassoud Mirzendehdel, Morad Behandish, Saigopal Nelaturi
  • Patent number: 11416501
    Abstract: A method for ranking genealogical records includes using a machine learning model to rank multiple searched records based on relevancy. The relevancy may be determined by identifying features included in a record and scaling each feature by a corresponding weight factor. In addition, a method for training a machine learning model and increasing the convergence speed of the training is described. To train the model, a machine learning process is used to optimize a ranking performance metric. A set of weights corresponding to multiple features are used to rank multiple past search records in a training set. An initial set of the weights are set by the expectation values of the weights. The weights are incrementally changed to optimize the ranking performance metric. The step size of the increment is determined based on the sensitivity of the ranking performance metric relative to the step size.
    Type: Grant
    Filed: March 18, 2020
    Date of Patent: August 16, 2022
    Assignee: Ancestry.com Operations Inc.
    Inventors: Peng Jiang, Gann Bierner, Lei Wu
  • Patent number: 11411991
    Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a network interface; a user-space application including instructions to interact with a web site via a uniform resource locator (URL); and a security agent including instructions to: intercept an interaction of the user-space application with the web site; determine that the intercepted interaction is to send sensitive information to the web site; suspend the interaction; and assign a reputation to the URL.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: August 9, 2022
    Assignee: McAfee, LLC
    Inventors: Oliver G. Devane, Abhishek Karnik
  • Patent number: 11391856
    Abstract: Implementations of the present disclosure provide techniques for stochastic stratigraphic correlation that produce quantitative estimation of uncertainty by generating multiple viable correlations. In contrast to deterministic models where the output of the model is fully determined by the parameter values and the initial conditions, stochastic models possess some inherent randomness. Using stochastic models, the same set of parameter values and initial conditions will lead to an ensemble of different outputs. The described techniques include introducing probabilistic sampling into dynamic time warping processes. In some implementations, the techniques allow for a user to interactively update correlation markers and their associated uncertainties. The techniques can adhere to these markers and produce multiple viable solutions.
    Type: Grant
    Filed: July 8, 2020
    Date of Patent: July 19, 2022
    Assignee: Saudi Arabian Oil Company
    Inventor: Mustafa A. Al Ibrahim
  • Patent number: 11386318
    Abstract: Roughly described, the technology disclosed provides a so-called machine learned conversion optimization (MLCO) system that uses evolutionary computations to efficiently identify most successful webpage designs in a search space without testing all possible webpage designs in the search space. The search space is defined based on webpage designs provided by marketers. Website funnels with a single webpage or multiple webpages are represented as genomes. Genomes identify different dimensions and dimension values of the funnels. The genomes are subjected to evolutionary operations like initialization, testing, competition, and procreation to identify parent genomes that perform well and offspring genomes that are likely to perform well. Each webpage is tested only to the extent that it is possible to decide whether it is promising, i.e., whether it should serve as a parent for the next generation, or should be discarded.
    Type: Grant
    Filed: January 5, 2017
    Date of Patent: July 12, 2022
    Assignee: EVOLV TECHNOLOGY SOLUTIONS, INC.
    Inventors: Neil Iscoe, Risto Miikkulainen
  • Patent number: 11364683
    Abstract: The present invention relates to a 3D printer outputting method for mounting electrical components, the method comprising a step of generating a structure forming unit structures and a step of positioning component objects on the structure. The positions of the component objects can be changed by using a coordinate system. In mounting a component object (20) on a structure (10), a coordinate system (140) is used to check for colliding or overlapping portions of the component object and to determine whether the component object (20) is supported by unit structures (15), and the merits of 3D are used to rearrange the colliding or overlapping portions or portions, that are not supported, into other dimensions. In addition, in order to automatically insert an actual component object (20), the component object is picked up by a well-known pickup device (30), and the time point and position at which a second component object (20?) is to be inserted in the first component object (20) are predetermined.
    Type: Grant
    Filed: November 13, 2015
    Date of Patent: June 21, 2022
    Assignee: WHOBORN INC.
    Inventor: Young Sik Bae
  • Patent number: 11363121
    Abstract: Methods, systems, and computer-readable storage mediums for standardizing node field-value pairs of node profiles generated using electronic activities across multiple entities are described. In one aspect, the system can access, for a node profile of an entity, data points linked to the node profile. The system may determine a seniority value and a department value using the data points. The system may generate a normalized job title value by combining the seniority value and the department value using a title formatting policy specifying a format in which to combine to the seniority value and the department value. The normalized job title value may identify the seniority and department of entity. The system may store an association between the node profile and the normalized job title value in one or more data structures.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: June 14, 2022
    Assignee: People.ai, Inc.
    Inventors: Oleg Rogynskyy, Eric Jeske, Tetiana Lutsaievska, Hang Li, Yury Markovsky
  • Patent number: 11349725
    Abstract: Various methods are provided for enabling the application of machine learning to network management and in particular to enabling cognitive network management in radio access networks. One example method may comprise interpreting one or more operator goals for the CNM or for a specific CF to ensure that the specific CF adjusts its behavior in order to fulfil the operator goals, abstracting an environment into states configured for use in subsequent decision making, wherein the abstracted environment represent are built from one or more of a combination of quantitative KPIs, abstract state labels, and operational contexts, defining legal candidate network configurations for different contexts of the CF based on the abstracted environments and operational contexts as inferred by the EMA engine, and matching a current abstract state, abstracted environment, or operational context as derived by the EMA engine to an appropriate network configuration selected from the set of legal candidate network configurations.
    Type: Grant
    Filed: September 2, 2016
    Date of Patent: May 31, 2022
    Assignee: NOKIA TECHNOLOGIES OY
    Inventors: Stephen Mwanje, Christian Mannweiler, Lars Christoph Schmelz
  • Patent number: 11341223
    Abstract: Techniques are described for enabling a user to access a secure system based on vital signs of the user that are collected by a wearable device worn by the user. The vital signs of the user may be used as an extra level of security when accessing the secure system. For example, a computing device may automatically validate that a user requesting access to a secure system is a person and not a robot based on receipt of vital signs of the user. As another example, a computing device may operate as a secure access badge that first analyzes vital signs of a user to confirm that the user is not in distress before sending an access signal to gain access to a secure system. In either example, the computing device may be a wearable device, or be paired to a wearable device to receive the vital signs.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: May 24, 2022
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Kourtney Eidam, Andrew J. Garner, IV, Dennis Montenegro
  • Patent number: 11343154
    Abstract: Systems and methods for controlling operations of a Computer System (“CS”). The methods comprise: collecting information about events occurring in CS; performing automated ontogenesis operations using the collected information to determine a context of a given situation associated with CS using stored ontogenetic knowledge, define parameters for different sets of actions that could occur in the context of the given situation, simulate the sets of actions to generate a set of simulation results defining predicted consequences resulting from the performance of certain behaviors by nodes of CS, select a best simulation result from the set of simulation results, and determine whether a system action specified by the best simulation result might cause an undesirable unintended consequence; and using the parameters associated with the best simulation result to optimize control and performance of CS, when a determination is made that the system action will not cause the undesirable unintended consequence.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: May 24, 2022
    Assignee: EAGLE TECHNOLOGY, LLC
    Inventors: Wayne B. Smith, Ronda R. Henning
  • Patent number: 11336689
    Abstract: Disclosed is phishing classifier that classifies a URL and content page accessed via the URL as phishing or not is disclosed, with URL feature hasher that parses and hashes the URL to produce feature hashes, and headless browser to access and internally render a content page at the URL, extract HTML tokens, and capture an image of the rendering. Also disclosed are an HTML encoder, trained on HTML tokens extracted from pages at URLs, encoded, then decoded to reproduce images captured from rendering, that produces an HTML encoding of the tokens extracted, and an image embedder, pretrained on images, that produces an image embedding of the image captured. Further, phishing classifier layers, trained on the feature hashes, the HTML encoding, and the image embedding, process the URL feature hashes, HTML encoding and image embeddings to produce a likelihood score that the URL and the page accessed presents a phishing risk.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: May 17, 2022
    Assignee: Netskope, Inc.
    Inventors: Najmeh Miramirkhani, Ari Azarafrooz, Yihua Liao, Zhi Xu
  • Patent number: 11335433
    Abstract: Various embodiments select markers for modeling epistasis effects. In one embodiment, a processor receives a set of genetic markers and a phenotype. A relevance score is determined with respect to the phenotype for each of the set of genetic markers. A threshold is set based on the relevance score of a genetic marker with a highest relevancy score. A relevance score is determined for at least one genetic marker in the set of genetic markers for at least one interaction between the at least one genetic marker and at least one other genetic marker in the set of genetic markers. The at least one interaction is added to a top-k feature set based on the relevance score of the at least one interaction satisfying the threshold.
    Type: Grant
    Filed: September 14, 2018
    Date of Patent: May 17, 2022
    Assignee: International Business Machines Corporation
    Inventors: David C. Haws, Dan He, Laxmi P. Parida
  • Patent number: 11336672
    Abstract: Roughly described, anomalous behavior of a machine-learned computer-implemented individual can be detected while operating in a production environment. A population of individuals is represented in a computer storage medium, each individual identifying actions to assert in dependence upon input data. As part of machine learning, the individuals are tested against samples of training data and the actions they assert are recorded in a behavior repository. The behavior of an individual is characterized from the observations recorded during training. In a production environment, the individuals are operated by applying production input data, and the production behavior of the individual is observed and compared to the behavior of the individual represented in the behavior repository. A determination is made from the comparison of whether the individual's production behavior during operation is anomalous.
    Type: Grant
    Filed: July 21, 2020
    Date of Patent: May 17, 2022
    Assignee: Cognizant Technology Solutions U.S. Corporation
    Inventor: Babak Hodjat
  • Patent number: 11322227
    Abstract: Determining relative relationships of people who share a common ancestor within at least a threshold number of generations includes: receiving recombinable deoxyribonucleic acid (DNA) sequence information of a first user and recombinable DNA sequence information of a plurality of users; processing, using one or more computer processors, the recombinable DNA sequence information of the plurality of users in parallel; determining, based at least in part on a result of processing the recombinable DNA information of the plurality of users in parallel, a predicted degree of relationship between the first user and a user among the plurality of users, the predicted degree of relative relationship corresponding to a number of generations within which the first user and the second user share a common ancestor.
    Type: Grant
    Filed: June 17, 2021
    Date of Patent: May 3, 2022
    Assignee: 23andMe, Inc.
    Inventors: Lawrence Hon, Serge Saxonov, Brian Thomas Naughton, Joanna Louise Mountain, Anne Wojcicki, Linda Avey
  • Patent number: 11321210
    Abstract: A computing device receives, from a remote device, one or more abnormality detection models for detecting anomaly of one or a plurality of applications with respect to one or more resource usage, obtains resource usage data associated with each application, determines, using the one or more abnormality detection models, whether each application has anomaly in a resource usage, and takes an action in response. The abnormality detection model is built using a machine learning technique at the remote device based on data collected from multiple devices. The resource usage data includes information about applications used by the computing device, e.g., usage or energy consumption of one or more hardware components or one or more services accessed by an application on the device. An abnormality detection result may include likelihoods of an application falling into an abnormality level in a plurality of abnormality levels.
    Type: Grant
    Filed: February 11, 2020
    Date of Patent: May 3, 2022
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Pai-Han Huang, Ahmad Khodayari-Rostamabad, Olivia Yuh Ru Lee
  • Patent number: 11313694
    Abstract: The present disclosure provides a method and an apparatus for recommending a travel way. The method includes: obtaining historical travel data; determining a plurality of correlations between respective travel ways according to the historical travel data; generating a vector corresponding to each travel way according to the plurality of correlations between respective travel ways; performing learning on an initial vector corresponding to each user and an initial vector corresponding to each starting-and-arrival pair according to the vector corresponding to each travel way and the historical travel data, to obtain a vector corresponding to each user and a vector corresponding to each starting-and-arrival pair; and recommending a travel way according to the vector corresponding to each travel way, the vector corresponding to each user and the vector corresponding to each starting-and-arrival pair.
    Type: Grant
    Filed: January 15, 2020
    Date of Patent: April 26, 2022
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Renjun Hu, Hao Liu, Hui Xiong, Ting Li, Yanjie Fu
  • Patent number: 11315014
    Abstract: A computer implemented method, computer program product, and system for managing execution of a workflow comprising a set of subworkflows, comprising optimizing the set of subworkflows using a deep neural network, wherein each subworkflow of the set of subworkflows has a set of tasks, wherein each task of the sets of tasks has a requirement of resources of a set of resources; wherein each task of the sets of tasks is enabled to be dependent on another task of the sets of tasks, training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources, wherein the training causes the neural network to learn relationships between the states of said set of resources, the said sets of tasks, their parameters and the obtained performance, optimizing an allocation of resources of the set of resources to each task of the sets of tasks to ensure compliance with a user-defined quality metric b
    Type: Grant
    Filed: August 16, 2018
    Date of Patent: April 26, 2022
    Assignee: EMC IP HOLDING COMPANY LLC
    Inventors: Jonas F. Dias, Angelo Ciarlini, Romulo D. Pinho, Vinicius Gottin, Andre Maximo, Edward Pacheco, David Holmes, Keshava Rangarajan, Scott David Senften, Joseph Blake Winston, Xi Wang, Clifton Brent Walker, Ashwani Dev, Chandra Yeleshwarapu, Nagaraj Srinivasan
  • Patent number: 11301781
    Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.
    Type: Grant
    Filed: February 20, 2020
    Date of Patent: April 12, 2022
    Assignee: Intel Corporation
    Inventors: Patrick Hayes, Michael McCourt, Alexandra Johnson, George Ke, Scott Clark
  • Patent number: 11297489
    Abstract: Methods and systems for characterizing wireless devices are described. Data associated with communications involving the wireless devices may be analyzed to characterize the wireless devices.
    Type: Grant
    Filed: January 6, 2020
    Date of Patent: April 5, 2022
    Assignee: COMCAST CABLE COMMUNICATIONS, LLC
    Inventor: Yonatan Vaizman
  • Patent number: 11288580
    Abstract: An optimal solution search method for searching for an optimal solution in a combinatorial optimization problem using a computer, includes: acquiring a first solution candidate; and enumerating and indexing solution candidate groups of which the degree of divergence from the first solution candidate is equal to or smaller than a predetermined range; equally extracting second solution candidates from the enumerated and indexed solution candidate groups assigning evaluation values to the second solution candidates; and determining whether the search for the optimal solution is terminated on the basis of the evaluation value. In a case where the search for the optimal solution is not terminated, the current first solution candidate is updated as the best second solution candidate selected from the second solution candidates, and the processes are repeated until the search for the first optimal solution is terminated.
    Type: Grant
    Filed: August 3, 2018
    Date of Patent: March 29, 2022
    Assignee: FUJIFILM Corporation
    Inventor: Masaya Nagase
  • Patent number: 11281664
    Abstract: A search engine optimizer, which works independently and in parallel with a browser and search engine supercomputer to gather, analyze, and distill input information interactively. The optimizer reorganizes the input, and providing an optimized version as an output. The optimized version of the input (e.g. output) is sent to the search engine, which responds to the end user with search results. The optimizer recognizes each request as a pattern and stores the pattern in an advanced Glyph format. This permits the optimizer to identify a left and ride side check mate combination required to achieve certitude.
    Type: Grant
    Filed: June 7, 2016
    Date of Patent: March 22, 2022
    Inventor: Richard Paiz
  • Patent number: 11276500
    Abstract: Methods, systems, and computer readable media for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder are disclosed. One method for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder includes receiving brain imaging data for a human subject of at least one first age. The method also includes determining, from the brain imaging data, measurements of brain structural characteristics of the human subject and inputting the brain structural characteristics into a model that predicts, using the measurements of the brain structural characteristics, a diagnosis of a neurobehavioral disorder at a second age greater than the at least one first age.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: March 15, 2022
    Assignees: THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, COLLEGE OF CHARLESTON, THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING/MCGILL UNIVERSITY
    Inventors: Martin Andreas Styner, Sun Hyung Kim, Donald Louis Collins, Vladimir S. Fonov, Brent Carl Munsell, Joseph Piven, Heather Cody Hazlett
  • Patent number: 11277422
    Abstract: The behavior analysis engine can also detect malicious network addresses that are sent to networked devices in the local network. The network traffic hub identifies network communications that are transmitted through the local network that contain network addresses. The network traffic hub transmits (or sends) the network address to the behavior analysis engine and the behavior analysis engine extracts network address features from the network address. The behavior analysis engine then applies an execution model to the execution features to determine a confidence score for the network address that represents the execution model's certainty that the network address is malicious. The behavior analysis engine uses the confidence score to provide instructions to the network traffic hub as to whether to allow the networked device to receive the network address.
    Type: Grant
    Filed: March 1, 2018
    Date of Patent: March 15, 2022
    Assignee: Cujo LLC
    Inventors: Leonid Kuperman, Yuri Frayman, Einaras von Gravrock, Gabor Takacs
  • Patent number: 11275882
    Abstract: The present disclosure relates to a computer-implemented method for electronic design is provided. Embodiments may include receiving, using at least one processor, an electronic design schematic and an electronic design layout and analyzing, via machine learning, at least one schematic feature from a pair of devices associated with the electronic design schematic. Embodiments may further include determining, based, at least in part, upon the analyzing, whether the pair of devices should be grouped together.
    Type: Grant
    Filed: July 26, 2019
    Date of Patent: March 15, 2022
    Assignee: Cadence Design Systems, Inc.
    Inventors: Wangyang Zhang, Elias Lee Fallon, Regis R. Colwell, Hua Luo, Namita Bhushan Rane
  • Patent number: 11270156
    Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine-learning concepts to determine predicted recovery rates/scores for claims, determine priority scores for the claims, and prioritizing the claims based on the same, and updating a user interface based at least in part on the prioritization of the same.
    Type: Grant
    Filed: June 28, 2018
    Date of Patent: March 8, 2022
    Assignee: Optum Services (Ireland) Limited
    Inventors: Peter Cogan, Lorcan B. MacManus, Conor Breen
  • Patent number: 11268467
    Abstract: A controller includes a memory device and an execution device, which executes an operation of an operated unit of an internal combustion engine. The execution device executes a first calculation process that uses adapted data sets in order to calculate an operated amount on the basis of a detected value of a state variable, a second calculation process that calculates, as the operated amount, a value that is determined by a relationship defining data set and the state variable, a reinforcement learning process that updates the relationship defining data set, first and operation processes that operate the operated unit in accordance with a calculated value of the operated amount, and a switching process that switches a process that operates the operated unit between the first operation process and the second operation process in accordance with the state of the vehicle.
    Type: Grant
    Filed: January 19, 2021
    Date of Patent: March 8, 2022
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yosuke Hashimoto, Akihiro Katayama, Yuta Oshiro, Kazuki Sugie, Naoya Oka
  • Patent number: 11256689
    Abstract: The system described herein provides for iteratively executing an algorithm across partitions of a database table, in parallel. An instance of the algorithm may be executed for each partition of a database table across different hosts, in parallel, using predefined control data. The system may receive a result corresponding to each partition in response to executing algorithm on the respective partition. The system may determine a result corresponding to each of the partitions satisfies predefined criteria. The predefined criteria is defined by the user. In response to determining that the result corresponding to a partition fails to satisfy the predefined criteria, the system may modify the control data and execute an instance of the algorithm on each of the partitions using the modified control data.
    Type: Grant
    Filed: December 13, 2019
    Date of Patent: February 22, 2022
    Assignee: SAP SE
    Inventor: Peter Goertz
  • Patent number: 11243988
    Abstract: A method, system, and computer program product for a data modelling platform to engage with a user via a user interface is provided. A predictive data model is displayed based on the user query. Provenance and evidence is provided based on a user selected result. The ground truth dataset is modified in response to receiving a user action via the user interface.
    Type: Grant
    Filed: November 29, 2018
    Date of Patent: February 8, 2022
    Assignee: International Business Machines Corporation
    Inventors: Sundar Saranathan, Achille B. Fokoue-Nkoutche, Alix Lacoste
  • Patent number: 11222274
    Abstract: A scalable integrated information system in a network environment, the system comprising: an agent instantiated as a virtual machine or virtual network function, the agent configured to communicate with the network environment, the network environment comprising a meta data inventory; a data store comprising a central metadata repository, the central metadata repository configured to communicate with the network environment and selectively retrieve the meta data inventory, wherein the central metadata repository stores an integrated context representation comprising at least one of a real-time temporal context, a historical context, and a meta context associated with the meta data inventory; a reasoning module instantiated as a virtual machine or virtual network function and including an input configured to receive a reasoning concept; a machine learning module, instantiated as a virtual machine or virtual network function and configured to communicate with the central metadata repository to selectively retri
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: January 11, 2022
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Michael Roybal, Thomas J. Pitassi, Joseph Conard
  • Patent number: 11195098
    Abstract: Disclosed are a method for generating a neural network, an apparatus thereof, and an electronic device. The method includes: obtaining an optimal neural network and a worst neural network from a neural network framework by using an evolutionary algorithm; obtaining an optimized neural network from the optimal neural network by using a reinforcement learning algorithm; updating the neural network framework by adding the optimized neural network into the neural network framework and deleting the worst neural network from the neural network framework; and determining an ultimately generated neural network from the updated neural network framework. In this way, a neural network is optimized and updated from a neural network framework by combining the evolutionary algorithm and the reinforcement learning algorithm, thereby automatically generating a neural network structure rapidly and stably.
    Type: Grant
    Filed: October 28, 2019
    Date of Patent: December 7, 2021
    Assignee: Beijing Horizon Robotics Technology Research and Development Co., Ltd.
    Inventors: Yukang Chen, Qian Zhang, Chang Huang
  • Patent number: 11194331
    Abstract: The present disclosure provides a method in a data processing system that includes at least one processor and at least one memory. The at least one memory includes instructions executed by the at least one processor to implement a driving encounter recognition system. The method includes receiving information, from one or more sensors coupled to a first vehicle, determining first trajectory information associated with the first vehicle and second trajectory information associated with a second vehicle, extracting a feature vector, providing the feature vector to a trained classifier, the classifier trained using unsupervised learning based on a plurality of feature vectors, and receiving, from the trained classifier, a classification of the current driving encounter in order to facilitate the first vehicle to perform a maneuver based on the current driving encounter.
    Type: Grant
    Filed: October 30, 2018
    Date of Patent: December 7, 2021
    Assignee: THE REGENTS OF THE UNIVERSITY OF MICHIGAN
    Inventors: Wenshuo Wang, Aditya Ramesh, Ding Zhao
  • Patent number: 11182678
    Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a pattern program using a genetic algorithm. The genetic algorithm operates on example data strings that represent the data categories to be recognized or extracted through named entity recognition. In the initialization stage, the initial pattern programs are generated based on example data strings that represent the data categories to be recognized or extracted through named entity recognition. Starting from the initial pattern programs, genetic operations are iteratively conducted to generate generations of offspring pattern programs. In each round of the genetic operation, offspring pattern programs are generated through the crossover operation and the mutation operation.
    Type: Grant
    Filed: December 17, 2020
    Date of Patent: November 23, 2021
    Assignee: ALIPAY (HANGZHOU) INFORMATION TECHNOLOGY CO., LTD.
    Inventors: Desheng Wang, Qian Jia, Yang Liu, Peng Zhang, Qian Zhang, Peng Zheng
  • Patent number: 11176384
    Abstract: An apparatus for object detection around a vehicle includes an imaging device mounted on the vehicle and a computing device. The imaging device is used to capture a video of an exterior environment of the vehicle. The computing device is used to execute a DSFPN module in order to provide a DSFPN model detector, which functions as a perception unit to process and analyze the video captured by the imaging device and to estimate a scale, a location and categories of an object. The DSFPN model detector includes a bottom-up subnet provided with auxiliary prediction heads, and a top-down subnet provided with prediction heads. When the DSFPN model detector is performed in a model training stage, both the prediction heads and the auxiliary prediction heads are used. In a detection stage, only the prediction heads are used in the DSFPN model detector, and the auxiliary prediction heads are removed.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: November 16, 2021
    Assignee: XMOTORS.AI INC.
    Inventors: Fan Yang, Tianshuo Zhang, Cheng Lu, Yandong Guo
  • Patent number: 11176499
    Abstract: Data is obtained specifying a measure of a data set to be analyzed by human experts and allotted time for analysis completion. Based on same, a schedule is created for a primary meeting of human experts, whose aim is to analyze the data. The meeting is evaluated to create rate estimates for hypothetical meeting partitions; and, if the primary meeting is not adhering to schedule and/or can be speeded up, the meeting partitions are simulated until a partitioning scheme is determined that can restore the meeting to schedule and/or speed it up. In another aspect, a model of focus of attention of each member of a group of individuals engaged in an activity requiring cooperation is dynamically updated, and a cooperation index is determined based on the model of focus of attention, an interaction graph, and at least one physiological parameter of at least one of the members.
    Type: Grant
    Filed: November 21, 2015
    Date of Patent: November 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Brian P. Gaucher, James R. Kozloski, Clifford A. Pickover, Valentina Salapura, Alan M. Webb
  • Patent number: 11163845
    Abstract: In an example embodiment, position bias is addressed by introducing an inverse propensity weight into a loss function used to train a machine-learned model. This inverse propensity weight essentially increases the weight of candidates in the training data that were presented lower in a list of candidates. This achieves the benefit of counteracting the position bias and increases the effectiveness of the machine-learned model in generating scores for future candidates. In a further example embodiment, a function is generated for the inverse propensity weight based on responses to contact requests from recruiters. In other words, while the machine learned-model may factor in both the likelihood that a recruiter will want to contact a candidate and the likelihood that a candidate will respond to such a contact, the function generated for the inverse propensity weight will be based only on training data where the candidate actually responded to a contact.
    Type: Grant
    Filed: June 21, 2019
    Date of Patent: November 2, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dan Liu, Daniel Sairom Krishnan Hewlett, Qi Guo
  • Patent number: 11165798
    Abstract: The behavior analysis engine can also detect malicious network addresses that are sent to networked devices in the local network. The network traffic hub identifies network communications that are transmitted through the local network that contain network addresses. The network traffic hub transmits (or sends) the network address to the behavior analysis engine and the behavior analysis engine extracts network address features from the network address. The behavior analysis engine then applies an execution model to the execution features to determine a confidence score for the network address that represents the execution model's certainty that the network address is malicious. The behavior analysis engine uses the confidence score to provide instructions to the network traffic hub as to whether to allow the networked device to receive the network address.
    Type: Grant
    Filed: March 1, 2018
    Date of Patent: November 2, 2021
    Assignee: Cujo LLC
    Inventors: Leonid Kuperman, Yuri Frayman, Einaras von Gravrock, Gabor Takacs
  • Patent number: 11159943
    Abstract: A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to receive a request from a user equipment (UE) device to resolve a Domain Name System (DNS) query for a Uniform Resource Locator (URL) and determine that the URL corresponds to a malicious URL. The processor may be further configured to select to not resolve the DNS query in response to determining that the URL corresponds to a malicious URL and send an indication to the UE device that the URL corresponds to a malicious URL.
    Type: Grant
    Filed: February 6, 2019
    Date of Patent: October 26, 2021
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Anand J. Shah, Hans Raj Nahata
  • Patent number: 11158400
    Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising a Hypothesis Generation Engine (HGE) to receive one or more property target values for a material; a memory for storing program instructions; an HGE processor, coupled to the memory, and in communication with the HGE, and operative to execute program instructions to: receive the one or more property target values for the material; analyze the one or more property target values as compared to one or more known values in a knowledge base; generate, based on the analysis, an initial set of hypothetical structures, wherein each hypothetical structure includes at least one property target value; execute a likelihood model for each candidate material to generate a likelihood probability for each hypothetical structure, wherein the likelihood probability is a measure of the likelihood that the hypothetical structure will have the target property value; convert each hypothetical structure into a natural
    Type: Grant
    Filed: January 10, 2020
    Date of Patent: October 26, 2021
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Jason Nichols, Johan Michael Reimann, Nurali Virani, Naresh Sundaram Iyer
  • Patent number: 11158017
    Abstract: Various examples are directed to systems and methods for managing a warehouse. For example, a set of candidate routes through the warehouse may be generated based at least in part on graph data describing a plurality of nodes comprising a depot node, and a plurality of internode paths. Orders may be assigned to routes from the set of candidate routes to minimize a total duration for the routes. A set of tasks may be generated, where a first task of the set of tasks comprises a route and an order of the plurality of orders matched to the route. Tasks from the set of tasks may be assigned to picking agents to minimize a duration of the longest task from the set of tasks.
    Type: Grant
    Filed: December 28, 2016
    Date of Patent: October 26, 2021
    Assignee: SAP SE
    Inventors: Leiyi Yao, Xin Chen, Likun Hou
  • Patent number: 11151147
    Abstract: A system for outputting an action signal to a controlled system is provided. The system includes a memory storing individuals to be deployed to a production environment as an actor, wherein each of the individuals has a rule associated therewith for asserting an action, and the actor includes one or more individuals, is associated with the controlled system and is configured to transmit an intermediate action signal for asserting the action. The system includes a management server configured to receive the intermediate action signal, select, from a set of available operations, a selected operation to perform with respect to the intermediate action signal, and the set of available operations including allowance and a blocking of the intermediate action signal. Further, in response to the selected operation being the allowance, transmitting the intermediate action signal, and in response to the selected operation being the blocking, blocking the intermediate action signal.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: October 19, 2021
    Assignee: Cognizant Technology Solutions U.S. Corporation
    Inventors: Thomas Edward Whittaker, Robert William Baynes, Jr.
  • Patent number: 11151458
    Abstract: In a program generation apparatus, an operating unit repeatedly performs setting process of calculating the increasing rate of the maximum fitness level among the fitness levels of individuals included in a population, setting a setting value indicating the number of child individuals to be generated to a first value if the increasing rate is higher than or equal to a first threshold and setting the setting value to a second value greater than the first value if the increasing rate is lower than the first threshold, an evolution process of generating as many child individuals as specified by the setting value, based on a parent individual selected from the individuals included in the population, and a survival selection process of selecting an individual with the highest fitness level from the parent and child individuals and replacing one of the individuals in the population with the selected individual.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: October 19, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Hiroaki Okamoto, Tsuyoshi Nagato, Tetsuo Koezuka
  • Patent number: 11148672
    Abstract: Described is a system for analyzing time series data. A sequence of symbols is generated from a set of time series input data related to a moving vehicle using automatic segmentation. A grammar is extracted from the sequence of symbols, and the grammar is a subset of a probabilistic context-free grammar (PCFG). Using the grammar, time series input data can be analyzed, and a prediction of the vehicle's movement can be made. Vehicle operations for an autonomous vehicle are determined using the prediction.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: October 19, 2021
    Assignee: HRL Laboratories, LLC
    Inventors: Kenji Yamada, Rajan Bhattacharyya, Aruna Jammalamadaka, Dmitriy V. Korchev, Chong Ding
  • Patent number: 11151425
    Abstract: An apparatus includes a feature extractor to generate image descriptors based on retail product tag images corresponding to a retailer category; a probability density function generator to generate a probability density function of probability values corresponding to visual features represented in the image descriptors; a sample selector to select ones of the probability values based on a sample selection algorithm that identifies positions in the probability density function of the ones of the probability values to be selected; a category signature generator to generate a category signature based on the selected ones of the probability values; and a processor to train a convolutional neural network (CNN) based on a feature descriptor and one of the retail product tag images, the feature descriptor including the category signature concatenated to one of the image descriptors, the training to cause the CNN to classify the one of the retail product tag images as a type of product tag.
    Type: Grant
    Filed: January 16, 2019
    Date of Patent: October 19, 2021
    Assignee: Nielsen Consumer LLC
    Inventors: Emilio Almazán, Javier Tovar Velasco, Roberto Arroyo, Diego González Serrador
  • Patent number: 11138549
    Abstract: The invention is directed to a delivery plan making system that makes a delivery plan of articles, the system including: a storage unit that stores a restriction condition for making a delivery plan and cost information used for calculating a delivery cost based on the delivery plan; a delivery plan making and cost calculating unit that makes a delivery plan before alleviation of the restriction condition to satisfy the restriction condition and calculates a delivery cost of the delivery plan before the alleviation based on the cost information; and a restriction alleviating unit that alleviate the restriction condition to generate a restriction alleviation plan, wherein the delivery plan making and cost calculating unit further makes a delivery plan after alleviation of the restriction condition so as to satisfy the restriction alleviation plan and calculates a delivery cost of the delivery plan after the alleviation based on the cost information, and outputs the restriction alleviation plan if the delivery
    Type: Grant
    Filed: April 25, 2016
    Date of Patent: October 5, 2021
    Assignee: Hitachi Transport System, Ltd.
    Inventors: Kouichi Kotake, Takashi Atsumi, Takaharu Sakurada, Junko Hosoda