Adaptive System Patents (Class 706/14)
  • Patent number: 11328255
    Abstract: In an embodiment, an automated computer-based method for improving a computer system to be able to predict rejections of requisitions submitted to the computer system, the method comprising receiving a requisition from a client device; determining, at a scoring unit of a computer system, a probability value indicating a likelihood that the requisition would be rejected if the requisition is submitted to a requisition approval chain; transmitting the probability value from the computer system to the client device to be displayed on a display of the client device.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: May 10, 2022
    Assignee: COUPA SOFTWARE INCORPORATED
    Inventors: Zachary Randles, David Williams
  • Patent number: 11328812
    Abstract: According to one embodiment, a medical image processing apparatus of an embodiment includes an acquirer, a reliability setter and a learner. The acquirer acquires training data created by a creator on the basis of a medical image. The reliability setter sets, to the training data acquired by the acquirer, reliability information based on a creation situation of the training data or information about the creator who created the training data. The learner generates a learned model using the training data according to weighting based on the reliability information set by the reliability setter.
    Type: Grant
    Filed: November 14, 2019
    Date of Patent: May 10, 2022
    Assignee: Canon Medical Systems Corporation
    Inventors: Nozomi Masubuchi, Ryo Shiraishi, Takuya Sakaguchi
  • Patent number: 11321211
    Abstract: Provided are systems, methods and computer program products for evaluating subsystem performance. In some embodiments, a method comprises perturbing a first attribute of a first subsystem of a system that includes a plurality of subsystems, determining a change in a second attribute of a second subsystem of the system in response to the perturbing of the first attribute, where at least one output of the first subsystem is passed to the second subsystem, and determining a value for a performance metric of the system based on a correlation of the performance metric with the first and second attributes. In some embodiments, the system is a software stack of an autonomous vehicle (AV) and the performance metric is an objective function output that measures a quality of the AV's driving behavior.
    Type: Grant
    Filed: February 19, 2021
    Date of Patent: May 3, 2022
    Assignee: Motional AD LLC
    Inventors: Oscar Olof Beijbom, Bassam Helou
  • Patent number: 11308420
    Abstract: A method and apparatus for scoring member data in a social networking service is provided. A method comprises receiving input that indicates a particular feature that is not in a set of features upon which a first model is based. In response to receiving the input, training a plurality of models based on training data and a plurality of features that includes the set of features and the particular feature, and selecting, based on one or more criteria, a particular model from among the plurality of models that includes a second model that is of the same type as the first model. Using the particular model to score a particular data set based on the plurality of features indicated in the particular data set.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: April 19, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Sayan Dasgupta, David Stephen Mandell Freeman
  • Patent number: 11305433
    Abstract: In a robot, an actuator causes the robot to operate. A processor is configured to acquire, when a holding portion is held by a predetermined target, physical information on a physical function of the predetermined target, and cause, by controlling the actuator depending on the acquired physical information, the robot to perform at least one of an examination operation for examining the physical function of the predetermined target and a training support operation for training the physical function of the predetermined target.
    Type: Grant
    Filed: June 20, 2019
    Date of Patent: April 19, 2022
    Assignee: CASIO COMPUTER CO., LTD.
    Inventors: Toshihiko Otsuka, Hisao Kumai, Takahiro Tomida
  • Patent number: 11298821
    Abstract: System and methods for generating a trajectory of a dynamical system are described herein. An example method includes modelling a policy from demonstration data. The method also includes generating a first set of action particles by sampling from the policy, where each of the action particles in the first set includes a respective system action, predicting a respective outcome of the dynamical system in response to each of the action particles in the first set, and weighting each of the action particles in the first set according to a respective probability of achieving a desired outcome. The method further includes generating a second set of action particles by sampling from the weighted action particles, where each of the action particles in the second set includes a respective system action, and selecting a next system action in the trajectory of the dynamical system from the action particles in the second set.
    Type: Grant
    Filed: April 1, 2020
    Date of Patent: April 12, 2022
    Assignee: University of South Florida
    Inventors: Yu Sun, Yongqiang Huang
  • Patent number: 11301750
    Abstract: The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron to an other spatially-extended neuron along the arborized projection, defining a second temporal filter for the conveyance of input from yet another neuron to the spatially-extended neuron along the arborized projection, replacing, in the neural network model, the first, spatially-extended neuron with a first, spatially-constrained neuron and the arborized projection with a first connection extending between the first, spatially-constrained neuron and the second neuron, wherein the first connection filters input from the second neuron in accordance with the first temporal filter and a second connection extending between the first spatially-constrained neuron and the third neuron.
    Type: Grant
    Filed: April 2, 2018
    Date of Patent: April 12, 2022
    Assignee: Ecole Polytechnique Federale De Lausanne (EPFL)
    Inventors: Henry Markram, Wulfram Gerstner, Marc-Oliver Gewaltig, Christian Rössert, Eilif Benjamin Muller, Christian Pozzorini, Idan Segev, James Gonzalo King, Csaba Erö, Willem Wybo
  • Patent number: 11295375
    Abstract: A platform identifies and matches software application programs for a business user based on his/her context such as industry, location, size, etc. by providing nuanced and personalized guidance for the business user to define the business problem and the capabilities needed to solve the problem. The platform permits use of custom dimensions to map software application programs to a business user's needs, fitment etc. to help him/her find a software program that matched to the business user's needs. The platform further harvest insights from a broad spectrum of inputs, such as thought leaders, to help a business user get insight on which software program best suits him/her. The platform provides a social platform for business users to collaborate and find the best software program for their needs.
    Type: Grant
    Filed: April 26, 2019
    Date of Patent: April 5, 2022
    Assignee: Cuspera Inc.
    Inventors: Krishna Prasad Chitrapura, Subrahmanyam Vempati, Srujana Merugu
  • Patent number: 11276300
    Abstract: The present invention provides a method for learning latest data considering external influences in an early warning system, and the early warning system for same. The method for learning latest data considering external influences comprises the steps of: an early warning processing device categorizing device monitored variables according to external influences; and the early warning processing device differently applying a pattern learning method for each of the categorized monitored variables.
    Type: Grant
    Filed: August 29, 2017
    Date of Patent: March 15, 2022
    Assignee: Korea Hydro & Nuclear Power Co., LTD.
    Inventors: Dae Woong Kim, Nam Woo Choi, Bum Nyun Kim, Hyoung Kyun Kim, Ji In Kim, Ju Hyung Kang, Yong Hoon Park, Gun Woong Shin, Yang Seok Kim, Young Sheop Park, Chi Yong Park, Byoung Oh Lee, Jong Seog Kim
  • Patent number: 11270099
    Abstract: Methods and apparatus for generating a facial feature. A specific embodiment of the method includes: acquiring a to-be-recognized face image; inputting the to-be-recognized face image into a first convolutional neural network to generate a feature area image set of the to-be-recognized face image, the first convolutional neural network being used to extract a feature area image from a face image; inputting each feature area image in the feature area image set into a corresponding second convolutional neural network to generate an area facial feature of the feature area image, the second convolutional neural network being used to extract the area facial feature of the corresponding feature area image; and generating a facial feature set of the to-be-recognized face image based on the area facial feature of the each feature area image in the feature area image set.
    Type: Grant
    Filed: September 13, 2018
    Date of Patent: March 8, 2022
    Assignee: Baidu Online Network Technology (Beijing) Co., Ltd.
    Inventor: Zhichao Jiang
  • Patent number: 11270207
    Abstract: An electronic apparatus and a compression method for an artificial neural network are provided. The compression method is adapted for the artificial neural network with a plurality of convolution layers. The compression method includes: setting a first pruning layer for coupling the first pruning layer to Lth convolution layer, where the first pruning layer has a plurality of first weighting values and each of the first weighting values corresponds to each of a plurality of channels of the Lth convolution layer; tuning the first weighting values, selecting a part of the channels of the Lth convolution layer to be at least one first redundancy channel according to the first weighting values, and generating a compressed Lth convolution layer by deleting the at least one first redundancy channel; and removing the first pruning layer, and generating a first compressed artificial neural network.
    Type: Grant
    Filed: January 22, 2019
    Date of Patent: March 8, 2022
    Assignee: National Tsing Hua University
    Inventors: Chih-Yao Chiu, Tyng-Luh Liu, Hwann-Tzong Chen
  • Patent number: 11270227
    Abstract: A method is provided for managing a machine learning system. In the method, a database is provided for storing a plurality of data elements. A plurality of machine learning models is trained using assigned subsets of the plurality of data elements. The outputs of the plurality of machine learning models is provided to an aggregator. During inference operation of the machine learning system, the aggregator determines a final output based on outputs from the plurality of models. If it is determined that an assigned subset must be changed because, for example, a record must be deleted, then the data element is removed from the selected assigned subset. The affected machine learning model associated with the changed assigned subset is removed, and retrained using the changed assigned subset.
    Type: Grant
    Filed: October 1, 2018
    Date of Patent: March 8, 2022
    Assignee: NXP B.V.
    Inventors: Nikita Veshchikov, Joppe Willem Bos, Wilhelmus Petrus Adrianus Johannus Michiels
  • Patent number: 11257238
    Abstract: An unsupervised method is presented for determining size of an object captured in an image. The method includes: capturing a set of images with a camera, where each image in the set of images is captured with the camera set at a different f-number; for each image in the set of images, computing a quality metric for the image, where the qualitymetric quantifies focus using contrast; identifying a given image in the set of images using the contrast metrics and the f-number of the camera; calculating a hyperfocal distance using parameters of the camera when taking the given image; and quantifying one or more dimensions of the object as a function of the hyperfocal distance; and if the object is known, using a view classifier to estimate the dimension in 3D.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: February 22, 2022
    Assignee: Sigma Technologies, S.L.
    Inventors: Fulgencio Navarro Fajardo, Erik Velasco Salido
  • Patent number: 11250104
    Abstract: A device configured to emulate a quadrilateral lattice correlithm object generator includes multiple processing stages that operate together to output a quadrilateral lattice correlithm object. A quadrilateral lattice correlithm object has a quadrilateral geometric shape and is formed by at least four sub-lattice correlithm objects that are some number of bits away from each other in n-dimensional space.
    Type: Grant
    Filed: April 11, 2019
    Date of Patent: February 15, 2022
    Assignee: Bank of America Corporation
    Inventor: Patrick N. Lawrence
  • Patent number: 11244235
    Abstract: A data analysis device that analyzes data having a record including an objective variable and a plurality of explanatory variables includes a node generating unit that generates a node specified by a condition of the explanatory variable on the basis of the objective variable and the explanatory variable of the record and associating the record with the node, an evaluation value generating unit that generates a proportion of the number of records whose target value is the objective variable among a plurality of records associated with the node as an evaluation value, and a parameter extracting unit that selects a node on the basis of the evaluation value and extracts and outputs the condition of the explanatory variable related to the selected node.
    Type: Grant
    Filed: September 16, 2015
    Date of Patent: February 8, 2022
    Assignee: HITACHI, LTD.
    Inventors: Kazuaki Tokunaga, Syunsuke Monai
  • Patent number: 11244229
    Abstract: A computer-implementable method for managing a cognitive graph comprising: receiving data a data source, the data comprising a query and information relating to an answer to the query; processing the query, the processing the query identifying a plurality of query related knowledge elements; processing the information relating to the answer to the query, the processing the information relating to the answer to the query identifying a plurality of answer related knowledge elements; and, storing the plurality of query related knowledge elements and the plurality of answer related knowledge elements within the cognitive graph as a collection of knowledge elements.
    Type: Grant
    Filed: January 3, 2020
    Date of Patent: February 8, 2022
    Assignee: Cognitive Scale, Inc.
    Inventor: Hannah R. Lindsley
  • Patent number: 11238000
    Abstract: An apparatus includes a substrate, a classical computing processor formed on the substrate, a quantum computing processor formed on the substrate, and one or more coupling components between the classical computing processor and the quantum computing processor, the one or more coupling components being formed on the substrate and being configured to allow data exchange between the classical computing processor and the quantum computing processor.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: February 1, 2022
    Assignee: Google LLC
    Inventors: Masoud Mohseni, Hartmut Neven
  • Patent number: 11238034
    Abstract: In one example, a processor receives a structured query, parses the structured query into components, and stores the structured query, the components, and at least one attribute regarding the structured query in a first query record of a query record storage platform, the at least one attribute comprising a user identification of a user generating the structured query. The processor may then receive a search associated with the query record storage platform, where the search includes at least one parameter, and where the at least one parameter specifies at least one of the structured query, at least one of the components, or at least one of the at least one attribute regarding the structured query, and return the first query record in response to the search.
    Type: Grant
    Filed: October 20, 2019
    Date of Patent: February 1, 2022
    Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Ivan Dario Hernandez Sanchez, Roderic Paulk, Sheldon Kent Meredith
  • Patent number: 11238359
    Abstract: Techniques facilitating simplified quantum programming are provided. In one example, a computer-implemented method comprises reducing, by a device operatively coupled to a processor, a first computing problem of a problem type to a second computing problem of the problem type, wherein the second computing problem is associated with a quantum circuit; facilitating, by the device, execution of the quantum circuit at a quantum computer, resulting in a first output corresponding to the second computing problem; and mapping, by the device, the first output to a second output corresponding to the first computing problem.
    Type: Grant
    Filed: January 18, 2018
    Date of Patent: February 1, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Richard Chen, Shaohan Hu, Peng Liu, Marco Pistoia
  • Patent number: 11228613
    Abstract: An aspect includes querying, by a processor, a plurality of model data from a distributed data source based at least in part on one or more user characteristics. A plurality of sensor data is gathered associated with a condition of a user. A policy is generated including an end goal and one or more sub-goals based at least in part on the model data and the sensor data. The policy is iteratively adapted based at least in part on one or more detected changes in the sensor data collected over a period of time to adjust at least one of the one or more sub-goals. The policy and the one or more sub-goals are provided to the user.
    Type: Grant
    Filed: May 22, 2017
    Date of Patent: January 18, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hung-Yang Chang, Ching-Hua Chen, James V. Codella, Pei-Yun Hsueh, Xinyu Hu
  • Patent number: 11226946
    Abstract: A computer-implemented method for analyzing electronic documents includes defining at least one search criterion for a plurality of index items relating to a subject; applying the at least one search criterion to a plurality of documents; determining, for each index item in the plurality of index items, a category index reflecting a degree to which the plurality of documents relates to the index item; and generating, with reference to the category index for each index item in the plurality of index items, a performance index reflecting a degree to which the plurality of documents relates to the subject.
    Type: Grant
    Filed: April 13, 2017
    Date of Patent: January 18, 2022
    Assignee: NORTHERN LIGHT GROUP, LLC
    Inventor: C. David Seuss
  • Patent number: 11223650
    Abstract: A security system protecting a monitored system (e.g., a database server) is configured to self-update (extend) a statement/command parser grammar, dynamically. To accomplish this, the security system uses the monitored system itself as a syntax validator (on the parser's behalf), and without requiring any changes or modifications to the monitored server. In one embodiment, the security system comprises a protocol analyzer and the parser. The protocol analyzer extracts a statement/command from a received request and passes it to the parser. If no parser syntax error is found, the statement/command is validated against a security policy. If a parser syntax error occurs, however, the system examines a response from the monitored system to determine whether the parser syntax error is a “false positive.” If so, the parser then self-extends its own grammar automatically to correct for the parser syntax error. Once its grammar is updated, the parser is then able to process the original request.
    Type: Grant
    Filed: May 15, 2019
    Date of Patent: January 11, 2022
    Assignee: International Business Machines Corporation
    Inventor: Leonid Rodniansky
  • Patent number: 11218879
    Abstract: A method, computer-readable medium, and apparatus for classifying IP network traffic are disclosed. For example, a method may include a processor for applying a regularized probabilistic model to internet protocol network traffic for performing geolocation, wherein the internet protocol network traffic contains internet protocol address information, detecting an outlier in the internet protocol network traffic, wherein the outlier is associated with a transaction over a network, and performing a remedial action to address the outlier.
    Type: Grant
    Filed: December 5, 2018
    Date of Patent: January 4, 2022
    Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Joshua Whitney, Meredith Ordway-West, Aarthi Reddy, Melissa Lee, Mukund Rao
  • Patent number: 11210275
    Abstract: A system and method are disclosed to facilitate automated database system workload classification. A utilization metrics data source may contain utilization metrics vectors associated with workloads of the database system. A variational autoencoder may receive utilization metrics vectors from the utilization metrics data source and encode the utilization metrics vectors into latent vector features. Moreover, the variational autoencoder may be trained to generate appropriate distributions around the latent vector features. A synthetic workload creation platform receives information about the distributions around the latent vector features and samples different values from the distributions to create synthetic workload vectors. A workload classification platform, trained using the synthetic workload vectors, may then generate workload classification labels for workloads running on the database system (e.g., to tune database parameters as appropriate).
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: December 28, 2021
    Assignee: SAP SE
    Inventor: Shashank Mohan Jain
  • Patent number: 11205442
    Abstract: Provided is a sound event recognition method that may improve a sound event recognition performance using a correlation between difference sound signal feature parameters based on a neural network, in detail, that may extract a sound signal feature parameter from a sound signal including a sound event, and recognize the sound event included in the sound signal by applying a convolutional neural network (CNN) trained using the sound signal feature parameter.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: December 21, 2021
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Young Ho Jeong, Sang Won Suh, Tae Jin Lee, Woo-taek Lim, Hui Yong Kim
  • Patent number: 11195010
    Abstract: A method of detecting smoke or a fire involves the installation of properly produced cameras in the field. The cameras send recorded photos to a server. A computer downloads the photos from the server and uses attempts to automatically detect smoke with artificial intelligence software. Photos with a detected fire are sent to users which interface with a non-transitory computer readable medium, such as a desktop computer or a mobile phone, capable of executing a software application for verification. Verified smoke or fire threats signal alarms to the designated fire department in an effort to prevent fires from spreading and thus causing unnecessary damage to communities, lives, and ecosystems.
    Type: Grant
    Filed: May 23, 2019
    Date of Patent: December 7, 2021
    Assignee: Smoked sp. z o. o.
    Inventors: Rafal Lapczynski, Pawel Konieczny, Artur Matuszczak
  • Patent number: 11194802
    Abstract: A method for generating database queries from declarative queries having a known syntax. The method includes a query preparation software receiving a declarative query in a known system form. The query preparation software then analyzes the declarative query to build a set of generic query tasks with identified data types. The query preparation software then optimizes the set of generic query tasks and builds a target database query from the optimized generic query tasks reflecting features of a target database. The method further includes the query preparation software submitting the target database query to the target database.
    Type: Grant
    Filed: September 16, 2019
    Date of Patent: December 7, 2021
    Assignee: International Business Machines Corporation
    Inventor: Marion E. Behnen
  • Patent number: 11188193
    Abstract: The present invention provides a method, computer program product, and system of generating prioritized list. In an embodiment, the method, computer program product, and system include receiving, by a computer system, target user identification data identifying a target user, target action data, social network content for the one or more users, and social network activity data for the one or more users, analyzing, by a computer system, social network links between the source user and the target user and the social network activity data for the one or more users, determining, by a computer system, a prioritized list of probabilistic action paths that could result in the target user performing the target action on the content based on the analyzing, and outputting the prioritized list to the source user.
    Type: Grant
    Filed: November 14, 2017
    Date of Patent: November 30, 2021
    Assignee: International Business Machines Corporation
    Inventors: Shiri Kremer-Davidson, Anat Hashavit, Esther Goldbraich, Maya Barnea, Oren Sar-Shalom
  • Patent number: 11188576
    Abstract: Evaluating risk of sensitive data associated with a target data set includes a computer system receiving a pattern that defines sensitive data and a selection of a data set as the target data set for evaluating. The system determines portions of the target data set from which to select sample data sets and determines, responsive to a confidence limit and sizes of the respective portions of the target data, a size of a sample data set for each respective target data set portion. The system randomly samples the target data set portions to provide sample data sets of the determined sample data set sizes and determines whether there is an occurrence of the sensitive data in each sample data set by searching for the pattern in the sample data sets. The system determines a proportion of the sample data sets that have the occurrence of the sensitive data.
    Type: Grant
    Filed: June 13, 2020
    Date of Patent: November 30, 2021
    Assignee: International Business Machines Corporation
    Inventors: Ragineni Sathyanarayana, Sagar Deshpande, Mahesh Shivram Paradkar, Raghuraman Seshadri
  • Patent number: 11188850
    Abstract: Existing methods for analyzing person-specific ‘connectomes’ are not computationally equipped for scalable, flexible, and integrated processing across multiple network resolutions and drawing from disparate data modalities-a major roadblock to utilizing ensembles and hierarchies of connectomes to solve person-specific machine-learning problems. The processes implemented in software described herein consists of an end-to-end pipeline for deploying ensembles and hierarchies of network-generating workflows that can utilize multimodal, person-specific data to sample networks, extracted from that data, across a grid of network-defining hyperparameters. In essence, this pipeline enables users to perform ensemble sampling of connectomes for given individual(s) based on any input phenotypic datatype, constructed from any data modality or hierarchy of modalities at any scale, and based on any set of network-defining hyperparameters.
    Type: Grant
    Filed: April 1, 2019
    Date of Patent: November 30, 2021
    Inventor: Derek Alexander Pisner
  • Patent number: 11176124
    Abstract: A set of first results from a first query are received. Using a natural language processing technique, a set of second results using a second query having at least a portion of the first query and at least a portion of set of first results are generated, wherein the natural language processing technique comprises a machine learning model configured to analyze the set of first results. The set of second results are scored based upon a semantic comparison of the set of first results, the second query, and the set of second results. Using the scored set of the second results, a set of processed results are generated.
    Type: Grant
    Filed: December 18, 2018
    Date of Patent: November 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Naveen G. Balani, Amit P. Bohra, Abhishek Shrivastava
  • Patent number: 11157987
    Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for presenting a recommendation. In one embodiment, a system is introduced that includes a plurality of models for obtaining a recommendation score. The recommendation score may be obtained using one or more recommendation models and a recommendation made based on the recommendation score determined. In another embodiment, the system is introduced that can re-train the recommendation model based on a feedback received in response to a recommendation made using on the recommendation score obtained.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: October 26, 2021
    Assignee: PayPal, Inc.
    Inventors: Dinesh Kumar, Yuanyuan Pan, Prashant Gaurav, Fransisco Kurniadi, Yue Xin, Krishnakumar Govindarajalu, Kimberly Kidney, Tao Sun, Kevin Ward
  • Patent number: 11144205
    Abstract: An audio playback device operation method is provided. First audio playback device information corresponding to a first transmission bus format is selected to respond to a host according to a status descriptor request thereof. Whether an audio class-specific request command is received from the host is determined. When the audio class-specific request command is received, the response to the status descriptor request from the host is maintained. When the audio control feature unit descriptor request command is not received, the host is determined to not support the first transmission bus format. Second audio playback device information corresponding to a second audio bus transmission format is selected to response to the host according to the status descriptor request of the host such that when the audio class-specific request command is received, the response to the status descriptor request from the host is maintained.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: October 12, 2021
    Assignee: REALTEK SEMICONDUCTOR CORPORATION
    Inventor: Chun-Hao Peng
  • Patent number: 11144813
    Abstract: Embodiments described herein disclose methods and systems for using more than one Recurrent Neural Network (RNN) to analyze a user input and to predict a request being made by the user as the user is inputting the request. In an embodiment, a first RNN and a second RNN can simultaneously or near simultaneously process the user requested information by separating and analyzing the characters and words in the user's request. A third RNN can process the output vectors generated by the first and second RNNs to identify one or more solutions that predict the user's request.
    Type: Grant
    Filed: March 2, 2018
    Date of Patent: October 12, 2021
    Assignee: United Services Automobile Association (USAA)
    Inventors: Brandon Scott Kotara, Gunjan Chandraprakash Vijayvergia, Jon Eric Weissenburger, Ben Hawkins
  • Patent number: 11138059
    Abstract: The disclosed embodiments provide for identification of a remedial action based on analysis of a system log file. In some example embodiments, messages from the system log file are used as input to generate vectors within a vector space. Portions of the log messages may generate vectors that cluster into a region in the vector space. The region of vector space is associated with one or more remedial actions. The disclosed embodiments are configured, in some example embodiments, to perform the one or more remedial actions when activity in the log file maps to the region of vector space associated with the one or more remedial actions. In some example embodiments, a remedial action can include submitting a problem report to a problem tracking database.
    Type: Grant
    Filed: September 25, 2019
    Date of Patent: October 5, 2021
    Assignee: Juniper Networks, Inc.
    Inventors: Jisheng Wang, Gaurav Sunil Nandode, Winson Benedict Fernandes
  • Patent number: 11126722
    Abstract: An attachment to an e-mail message is replaced with a URL before that message is delivered to an end user, thus providing more time to perform a better scan at a cloud server computer. The attachment is removed from the e-mail message and sent to the cloud server computer for a dynamic scan and a static scan which will likely include updates better able to detect malicious software. The e-mail message with the URL is delivered to the end user and there is a delay before the end user reads the message or attempts to open the attachment. An artificial delay may be introduced at an e-mail gateway before the message is delivered to the end-user. If the attachment is benign then the end user is allowed to download it via the URL; if the attachment is malicious then the end user is only given a warning message.
    Type: Grant
    Filed: February 1, 2019
    Date of Patent: September 21, 2021
    Assignee: TREND MICRO INC.
    Inventors: Ritchied Ding, Rocky Qu, Richard Li
  • Patent number: 11119674
    Abstract: A memory device includes an array of composite memory units. At least one of the composite memory units comprises a first memory cell of a first type, a second memory cell of a second type, a first intra-unit data path connecting the first memory cell to the second memory cell, and a first data path control switch. The first data path control switch is responsive to a data transfer enable signal which enables data transfer between the first memory cell and the second memory cell through the first intra-unit data path.
    Type: Grant
    Filed: February 19, 2019
    Date of Patent: September 14, 2021
    Assignee: MACRONIX INTERNATIONAL CO., LTD.
    Inventors: Hung-Sheng Chang, Han-Wen Hu
  • Patent number: 11120361
    Abstract: An input data set with a plurality of item descriptors comprising respective time series observations is identified. A routing directive indicating a predicate to be evaluated to determine whether a particular item descriptor is to be included in a training data set for a first learning algorithm is obtained. A plurality of learning algorithms are trained using training data sets derived from the input data set according to respective routing directives, and the trained algorithms are stored.
    Type: Grant
    Filed: February 24, 2017
    Date of Patent: September 14, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Tim Januschowski, Joos-Hendrik Boese, Jan Alexander Gasthaus, Sebastian Schelter
  • Patent number: 11120301
    Abstract: Machine learning vision systems rely on very large numbers of training images to learn to recognize particular shapes and configurations of shapes. Traditionally, such datasets of training images needed to be selected and tagged (or labelled) manually. To recognize a particular object, such as a dog or vehicle, under realistic settings with an acceptable degree of reliability, may require data sets of thousands of images per object class. To improve this, a method is provided to generate datasets with a multiplicity of corresponding images are generated using a 3D rendering engine using a plurality of lighting arrangements and a plurality of views. Artefacts may also be introduced. In this way, very large data sets become feasible, with a variable degree of correspondence in each data set.
    Type: Grant
    Filed: June 6, 2019
    Date of Patent: September 14, 2021
    Assignee: Mastercard International Incorporated
    Inventor: Robert Collins
  • Patent number: 11120373
    Abstract: Crowdsourcing using active learning is described, for example, to select pairs of tasks and groups of workers so that information gained about answers to the tasks in the pool is optimized. In various examples a machine learning system learns variables describing characteristics of communities of workers, characteristics of workers, task variables and uncertainty of these variables. In various examples, the machine learning system predicts task variables and uncertainty of the predicted task variables for possible combinations of communities of workers and tasks. In examples the predicted variables and uncertainty are used to calculate expected information gain of the possible combinations and to rank the possible combinations. In examples, the crowdsourcing system uses the expected information gain to allocate tasks to worker communities and observe the results; the results may then be used to update the machine learning system.
    Type: Grant
    Filed: July 31, 2014
    Date of Patent: September 14, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Matteo Venanzi, John Philip Guiver, Pushmeet Kohli
  • Patent number: 11113581
    Abstract: The present disclosure relates to an information processing method and an information processing apparatus. The information processing method according to the present disclosure performs training on a classification model by using a plurality of training samples, and comprises the steps of: adjusting a distribution of feature vectors of the plurality of training samples in a feature space based on a typical sample in the plurality of training samples; and performing training on the classification model by using the adjusted feature vectors of the plurality of training samples. Through the technology according to the present disclosure, it is possible to perform pre-adjustment on training samples before training, such that it is possible to reduce discrimination between training samples belonging to a same class and increase discrimination between training samples belonging to different classes in the training process.
    Type: Grant
    Filed: June 24, 2019
    Date of Patent: September 7, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Meng Zhang, Rujie Liu
  • Patent number: 11113741
    Abstract: A computer implemented method and system of presenting content on a display of a computing device is provided. Historical data including data of a plurality of customers and data of a plurality of products is received. A hybrid graph is created. The hybrid graph includes one or more customer nodes and product nodes. Between each two customers, a customer weight factor is applied. Between each two products, a product weight factor is applied. One or more products related to a seed product are identified. For each identified related product, a return affinity score towards the requestor customer is determined. A representation of the related products is sent to be displayed on the computing device of the requestor customer, based on the affinity score.
    Type: Grant
    Filed: November 4, 2018
    Date of Patent: September 7, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yada Zhu, Ajay Deshpande, Brian Quanz, Xuan Liu, Pin-Yu Chen
  • Patent number: 11106801
    Abstract: A device may receive contextual data, computational data, experiential data, and industry data associated with software code, and may receive detected vulnerabilities data identified by a scanning model based on the software code and software code metadata of the computational data. The device may process the contextual data, the computational data, and the experiential data, with a contextual identification model, to determine a set of rules and a set of actions, and may enrich, via an enrichment model, the industry data with the experiential data to generate enriched industry data. The device may process the software code metadata, the detected vulnerabilities data, and the enriched industry data, with a correlation model, to generate analysis data, and may process the analysis data and the set of rules, with a security model, to confirm security issues associated with the software code. The device may perform one of the set of actions based on the security issues.
    Type: Grant
    Filed: December 29, 2020
    Date of Patent: August 31, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Richard Levine, Karel Kohout, Dalton Harris, Jason Widen, Ganesh Devarajan, Vidya Govindan, Mário Lauande Lacroix, John Donovan Delmare, Jr., Johnny Obando, Steven Nicholas Strupp, Matt Renzi Quillosa
  • Patent number: 11108817
    Abstract: A method for detecting SQL injection interception is provided. The method includes: detecting a received SQL instruction according to a SQL syntax tree rule to determine that the received SQL instruction is a malicious instruction; and analyzing the received SQL instruction by using an analysis model to determine that the received SQL instruction is a potentially malicious instruction, in a case that the received SQL instruction is not determined to be a malicious instruction according to the SQL syntax tree rule. The method can combine the online detection and the offline analysis to intercept the invading malicious SQL commands, and can also find and supplement the loopholes of the rules through offline analysis.
    Type: Grant
    Filed: October 10, 2018
    Date of Patent: August 31, 2021
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Hui Chen, Qiang Huang, Tianyu Wang, Zhaoyi Liu
  • Patent number: 11100153
    Abstract: A computing server may receive master data, transaction data, and one or more existing process models of a domain. The computing server may aggregate, based on domain knowledge ontology of the domain, the master data and the transaction data to generate a fact table. For example, entries in the fact table may be identified as relevant to the target process model and include attributes and facts that are extracted from master data or transaction data. The computing server may convert the entries in the fact table into vectors. The computing server inputting vectors into one or more machine learning algorithms to generate one or more algorithm outputs. One or more algorithm outputs may correspond to one or more improved process models that are optimized compared to the existing process models. The computing server may provide the improved process model to the domain to replace one of the existing process models.
    Type: Grant
    Filed: May 28, 2020
    Date of Patent: August 24, 2021
    Assignee: Zuora, Inc.
    Inventors: Sudipto Shankar Dasgupta, Michael Reh
  • Patent number: 11087183
    Abstract: A method and system of multi-modality classification using augmented data is disclosed. The method includes generating a pattern for each of a plurality of augmented data associated with each of a plurality of object classes, based on at least one modality associated with each of the plurality of objects classes using a Long Term Short Memory (LSTM) classifier and a Layer-wise Relevance Propagation (LRP). The method further includes classifying an input image into a first object class of the plurality of object classes based on one or more objects within the input image using a Convolution Neural Network (CNN). The method further includes re-classifying the input image into one of the first object class or a second object class of the plurality of object classes when the accuracy of classification by the CNN into the first object class is below a matching threshold.
    Type: Grant
    Filed: August 14, 2019
    Date of Patent: August 10, 2021
    Assignee: Wipro Limited
    Inventors: Manjunath Ramachandra Iyer, Sethuraman Ulaganathan
  • Patent number: 11080608
    Abstract: In one or more embodiments, one or more methods, processes, and/or systems may receive data associated with effective completion of tasks by agents and determine a positive correlation within the data between first particular feature values of feature vectors associated with the tasks and second particular feature values of feature vectors associated with the agents. A first agent associated with a feature vector that matches, within a first threshold, the second particular feature values may be selected, and a probability that the first agent will effectively complete a first task based on a feature vector associated with the first task matching, within a second threshold, the first particular feature values may be determined.
    Type: Grant
    Filed: May 5, 2017
    Date of Patent: August 3, 2021
    Assignee: WorkFusion, Inc.
    Inventors: Andrii Volkov, Maxim Yankelevich, Mikhail Abramchik, Abby Levenberg
  • Patent number: 11074008
    Abstract: Technologies for performing a hyper-dimensional operation in a memory of the compute device include a memory and a memory controller. The memory controller is configured to receive a query from a requestor and determine, in response to a receipt of the query, a key hyper-dimensional vector associated with the query, perform a hyper-dimensional operation to determine a reference hyper-dimensional vector associated with a value to the key. The memory controller is further configured to perform a nearest neighbor search by searching columns of a stochastic associative array of a hyper-dimensional vector table in the memory, identify a closest matching row in the stochastic associative array relative to the reference hyper-dimensional vector, wherein the closest matching row indicates a closest matching value hyper-dimensional vector, and output a value associated with the closest matching value hyper-dimensional vector.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: July 27, 2021
    Assignee: Intel Corporation
    Inventors: Jawad B. Khan, Richard Coulson
  • Patent number: 11049043
    Abstract: A model induction method for explainable artificial intelligence (XAI) may be shown and described. A model of a black-box AI may be an input to the model induction method, along with a set of sample input data. A linear or non-linear predictor function may be used to predict the output of the black-box model, producing a set of data points. The data points may be partitioned by a partitioning function, and each partition may represent one or more rules. The data may also be transformed using a number of transformation functions, such as a polynomial expansion. A local model may be fitted to the transformed function or functions. A set of rules may be interpreted from the local models and may form a white-box AI model. Linear or non-linear data may be modeled by the white-box model. Further, the white-box model may be implemented on a low-power device.
    Type: Grant
    Filed: October 26, 2020
    Date of Patent: June 29, 2021
    Assignee: UMNAI Limited
    Inventors: Angelo Dalli, Mauro Pirrone
  • Patent number: 11050577
    Abstract: A first input is received from at least one of a plurality of sensors. Based on the first input, a first probability associated with a first state is determined. A second input is received from at least one of the plurality of sensors. Based on the second input, a second probability associated with a second state is determined. The second state is based on a transition model and the second probability. The transition model associates the first state with the second state and indicates a likelihood of a transition from the first state to the second state. A rule is triggered to change a state of at least one network connected device based on the second state.
    Type: Grant
    Filed: March 4, 2019
    Date of Patent: June 29, 2021
    Assignee: BrainofT Inc.
    Inventors: Ashutosh Saxena, Hema Swetha Koppula, Chenxia Wu, Ozan Sener