Reasoning Under Uncertainty (e.g., Fuzzy Logic) Patents (Class 706/52)
  • Patent number: 11914784
    Abstract: Computerized methods and systems, including computer programs encoded on a computer storage medium, may adaptively predict expression of emotions based on collected biometric data. For example, a computing system may receive first data indicative of a first time-evolving movement of a portion of a body during a collection period, and may obtain second data identifying predictive models that correlate default emotions with second feature values that characterize body movements during prior collection periods. Based on an outcome of the application of the least one pattern recognition algorithm or machine learning algorithm to portions of the first and second data, the system may determine a corresponding one of the default emotions represented by the first time-evolving movement, and may transmit data indicative of the corresponding one of the default emotions to the communications device for presentation to a user.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: February 27, 2024
    Assignee: Emaww
    Inventor: Alicia Heraz
  • Patent number: 11914660
    Abstract: Techniques are described herein for collaborative search sessions through an automated assistant. A method includes: receiving, from a first user of a first client device, a first query in a query session; providing, to the first user, a first set of search results; determining, based on at least one term in the first query, that the first query is relevant to a second user of the first client device; providing, to the second user, a selectable option to join the query session; in response to receiving, from the second user, an indication of acceptance of the selectable option, adding the second user to the query session; receiving, from the second user, additional input; generating, based on the additional input received from the second user, a modified set of search results; and providing, to the first user and the second user, the modified set of search results.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: February 27, 2024
    Assignee: GOOGLE LLC
    Inventors: Matthew Sharifi, Victor Carbune
  • Patent number: 11914621
    Abstract: An association metric for record attributes associated with cardinalities that are not necessarily the same is used for training and/or applying an entity resolution (ER) model. A pair of records includes (a) a first record indicating a first set of values for a first attribute and (b) a second record indicating a second set of values for a second attribute. Each of the first set of values and each of the second set of values are compared to determine individual association metrics. A first-level reduction operation is applied to subsets of the individual association metrics to determine reduced association metrics. A second-level reduction operation is applied to the reduced association metrics to determine an association metric, for the pair of records, for training and/or applying an ER model.
    Type: Grant
    Filed: May 8, 2019
    Date of Patent: February 27, 2024
    Assignee: KOMODO HEALTH
    Inventors: Benjamin James Campbell Blalock, Alexander Graham Glenday, Jason Richard Prestinario
  • Patent number: 11907638
    Abstract: A client device processing received emoji messages using emoji-first messaging. Text messaging is automatically converted to emojis by an emoji-first application so that only emojis are communicated from one client device to another client device. Each client device has a library of emojis that are mapped to words, which libraries are customizable and unique to the users of the client devices, such that the users can communicate secretly in code. Upon receipt of a string of emojis, a user can select the emoji string to convert to text if desired, for a predetermined period of time.
    Type: Grant
    Filed: December 29, 2022
    Date of Patent: February 20, 2024
    Assignee: SNAP INC.
    Inventors: Karl Bayer, Prerna Chikersal, Shree K. Nayar, Brian Anthony Smith
  • Patent number: 11900254
    Abstract: A method of generating a multi-modal prediction is disclosed herein. A computing system retrieves event data from a data store. The event data includes information for a plurality of events across a plurality of seasons. Computing system generates a predictive model using a mixture density network, by generating an input vector from the event data learning, by the mixture density network, a plurality of values associated with a next play following each play in the event data. The mixture density network is trained to output the plurality of values near simultaneously. Computing system receives a set of event data directed to an event in a match. The set of event data includes information directed to at least playing surface position and current score. Computing system generates, via the predictive model, a plurality of values associated with a next event following the event based on the set of event data.
    Type: Grant
    Filed: February 27, 2023
    Date of Patent: February 13, 2024
    Assignee: STATS LLC
    Inventors: Matthew Holbrook, Jennifer Hobbs, Patrick Joseph Lucey
  • Patent number: 11879834
    Abstract: A method includes identifying, by pre-set criteria, a first plurality of optical channels and a second plurality of optical channels using optical data generated from a plurality of optical filters of a tester tool. The method also includes determining, from the optical data, a first plurality of fluid types detected by each channel in the first plurality of optical channels using a bootstrap fluid identification technique and determining, from the optical data and the first plurality of fluid types, a second plurality of fluid types detected by each channel in the second plurality of optical channels using a guided fluid identification technique. Further, the method includes generating a spectral signature indicating fluid types for each channel within the tester tool based on the first plurality of fluid types and second plurality of fluid types.
    Type: Grant
    Filed: June 7, 2022
    Date of Patent: January 23, 2024
    Assignee: Halliburton Energy Services, Inc.
    Inventors: Zhonghuan Chen, Bin Dai, Wei Zhang
  • Patent number: 11880230
    Abstract: An urban design pipeline automatically generates design options for an urban design project. The urban design pipeline includes a geometry engine and an evaluation engine. The geometry engine analyzes design criteria, design objectives, and design heuristics associated with the urban design project and then generates numerous candidate designs. The design criteria specify a property boundary associated with a region of land to be developed. The design objectives indicate a specific type of topology that is derived from an existing urban layout. The design heuristics include different sets of construction rules for generating designs with specific types of topologies. The geometry engine generates candidate designs that conform to the property boundary and have topological characteristics in common with the existing urban layout.
    Type: Grant
    Filed: June 9, 2021
    Date of Patent: January 23, 2024
    Assignee: AUTODESK, INC.
    Inventors: David Benjamin, James Stoddart, Lorenzo Villaggi, Danil Nagy
  • Patent number: 11860972
    Abstract: Sequential hypothesis testing in a digital medium environment is described using continuous data. To begin, a model is received that defines at least one data distribution. Testing data is also received that describes an effect of user interactions with the plurality of options of digital content on achieving an action using continuous non-binary data. Values of parameters of the model are then estimated for each option of the plurality of options based on the testing data. In one example. A variance estimate is then generated based on the estimated values of the parameters of the model for each option of the plurality of options. From this, a determination is made as to a decision boundary based on the variance estimate and an estimate for a mean value of each option of the plurality of options based on the testing data.
    Type: Grant
    Filed: March 24, 2021
    Date of Patent: January 2, 2024
    Assignee: Adobe Inc.
    Inventors: Abbas Kazerouni, Mohammad Ghavamzadeh
  • Patent number: 11856345
    Abstract: A remote control apparatus measures a communication delay in a communication network, generates a probability distribution of the communication delay, generates, based on the probability distribution of the communication delay, a plurality of arrival patterns, including an arrival time of a control input at a control target, predicts a state of the control target at a time of arrival of the control input, calculates a control input set by calculating a plurality of control inputs corresponding respectively to the plurality of states predicted, determines a control input to be outputted to the control target, based on a result of statistical processing applied on the control input set calculated.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: December 26, 2023
    Assignee: NEC Corporation
    Inventor: Hiroshi Yoshida
  • Patent number: 11852013
    Abstract: A method for partitioning NMR T1-T2 data may comprise: identifying modes in NMR T1-T2 data from a plurality of samples with a multimodal deconvolution or decomposition with regularized nonlinear inversion; deriving a modal properties vector comprising modal properties for each of the modes; performing a cluster analysis of the modes to identify clusters; assigning a poro-fluid class to the clusters based on one or more of the modal properties of the modes in each of the clusters; and deriving partitioned representations for the clusters based on the cluster analysis.
    Type: Grant
    Filed: August 14, 2020
    Date of Patent: December 26, 2023
    Assignee: ExxonMobil Technology and Engineering Company
    Inventors: Olabode Ijasan, Darren M. McLendon
  • Patent number: 11853930
    Abstract: A system for electronic lead generation including a semantic graph database including a knowledge graph and a dynamic profiling module comprising automated computing machinery configured to identify a near-term surge in product interest for a number of companies of a particular size in a particular industry in a particular region of the world in dependence upon the knowledge graph and create a company profile in dependence upon the size of the identified companies, the industry of the identified companies, and the region of the world of the identified companies associated with the near-term surge. Embodiments also include a lead purchase module comprising automated computing machinery configured to generate an electronic lead purchase order in dependence upon the company profile; transmit the lead purchase order to a lead generation engine; and receive, from the lead generation engine, a plurality of leads in dependence upon the lead purchase order.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: December 26, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Shannon L. Copeland, Burton M. Smith, III
  • Patent number: 11836142
    Abstract: A method and system for intelligently ranking search results may include receiving a search request containing one or more terms for performing a search, providing the one or more terms for conducting a search, and receiving a search results index containing a list of a plurality of documents, each of the plurality of documents corresponding to one of the one or more terms or to one or more other terms associated with the at least one of the one or more terms.
    Type: Grant
    Filed: May 27, 2022
    Date of Patent: December 5, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Torbjørn Helvik, Vegar Skjaerven Wang, Jan Heier Johansen, Jon Meling, Madeline Schuster Kleiner, Bernhard Kohlmeier
  • Patent number: 11828894
    Abstract: A multi-scale unsupervised seismic velocity inversion method based on an autoencoder for observation data. Large-scale information is extracted by the autoencoder, which is used for guiding an inversion network to complete the recovery of different-scale features in a velocity model, thereby reducing the non-linearity degree of inversion. A trained encoder part is embedded into the network to complete the extraction of seismic observation data information at the front end, so it can better analyze the information contained in seismic data, the mapping relationship between the data and velocity model is established better, then the inversion method is unsupervised, and location codes are added to the observation data to assist the network in perceiving the layout form of an observation system, which facilitates practical engineering application. Thus a relatively accurate inversion result of the seismic velocity model when no real geological model serves as a network training label can be achieved.
    Type: Grant
    Filed: December 14, 2021
    Date of Patent: November 28, 2023
    Assignee: SHANDONG UNIVERSITY
    Inventors: Bin Liu, Yuxiao Ren, Peng Jiang, Senlin Yang, Qingyang Wang, Xinji Xu, Duo Li
  • Patent number: 11829878
    Abstract: In sequence level prediction of a sequence of frames of high dimensional data one or more affective labels are provided at the end of the sequence. Each label pertains to the entire sequence of frames. An action is taken with an agent controlled by a machine learning algorithm for a current frame of the sequence at a current time step. An output of the action represents affective label prediction for the frame at the current time step. A pool of actions taken up until the current time step including the action taken with the agent is transformed into a predicted affective history for a subsequent time step. A reward is generated on predicted actions up to the current time step by comparing the predicted actions against corresponding annotated affective labels.
    Type: Grant
    Filed: June 29, 2022
    Date of Patent: November 28, 2023
    Assignee: Sony Interactive Entertainment Inc.
    Inventors: Ruxin Chen, Naveen Kumar, Haoqi Li
  • Patent number: 11823067
    Abstract: The present disclosure relates to system(s) and method(s) for tuning an analytical model. The system builds a global analytical model based on modelling data received from a user. Further, the system analyses a target eco-system to identify a set of target eco-system parameters. The system further selects a sub-set of model parameters, corresponding to the set of target eco-system parameters, from a set of model parameters. Further, the system generates a local analytical model based on updating the global analytical model, based on the sub-set of model parameters and one or more PMML wrappers. The system further deploys the local analytical model at each node, from a set of nodes, associated with the target eco-system. Further, the system gathers test results from each node based on executing the local analytical model. The system further tunes the sub-set of model parameters associated with the local analytical model using federated learning algorithms.
    Type: Grant
    Filed: June 20, 2018
    Date of Patent: November 21, 2023
    Assignee: HCL Technologies Limited
    Inventors: S U M Prasad Dhanyamraju, Satya Sai Prakash Kanakadandi, Sriganesh Sultanpurkar, Karthik Leburi, Vamsi Peddireddy
  • Patent number: 11823038
    Abstract: A computer-implemented method for managing datasets of a storage system is provided, wherein the datasets have respective sets of metadata, the method including: successively feeding first sets of metadata to a spiking neural network (SNN), the first sets of metadata fed corresponding to datasets of the storage system that are labeled with respect to classes they belong to, so as to be associated with class labels, for the SNN to learn representations of said classes in terms of connection weights that weight the metadata fed; successively feeding second sets of metadata to the SNN, the second sets of metadata corresponding to unlabeled datasets of the storage system, for the SNN to infer class labels for the unlabeled datasets, based on the second sets of metadata fed and the representations learned; and managing datasets in the storage system, based on class labels of the datasets, these including the inferred class labels.
    Type: Grant
    Filed: June 22, 2018
    Date of Patent: November 21, 2023
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Timoleon Moraitis, Abu Sebastian, Vinodh Venkatesan
  • Patent number: 11803768
    Abstract: An extracted hypothesis has logical formulas leading to a possible conclusion. If the logical formulas include one including a first parameter a value obtained from observation data and a second parameter that does not have a value obtained from the observation data, the logical formula is set as a target logical formula, and a value of the second parameter acquired based on the observation data is input. If there is no such logical formula, but there is a logical formula that has, for one or more parameters, a value set in advance or obtained using inference knowledge, whether this logical formula is true or false is determined. When whether the logical formula is true or false is determined, or, when the value of the second parameter is input, the logical formula is added to the observation data, and a hypothesis is derived again.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: October 31, 2023
    Assignee: NEC CORPORATION
    Inventor: Itaru Hosomi
  • Patent number: 11803612
    Abstract: In at least one embodiment, the present description is directed to a computer system, having a processor to at least: electronically receive a model for one or more operating conditions, and facility operating data; iteratively perform one or more iterations of outlier bias reduction in the facility operating data based on the model, including: determining model predicted values, comparing the model predicted values to the facility operating data, removing bias facility operating data from the facility operating data of the plurality of facilities, and constructing, based at least in part on the non-biased facility operating a data, an updated model with one or more updated coefficients; determine, based on non-biased facility operating data, a non-biased performance standard for the one or more operating conditions; and track, based on the no-biased performance standard and the facility operating data, operating performance of each respective facility of the plurality of facilities.
    Type: Grant
    Filed: September 21, 2022
    Date of Patent: October 31, 2023
    Assignee: HARTFORD STEAM BOILER INSPECTION AND INSURANCE COMPANY
    Inventor: Richard B. Jones
  • Patent number: 11803175
    Abstract: An industrial information hub (IIH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system can interface with a work order management system to facilitate automated creation and submission of work orders for maintenance tasks. To this end, the IIH system can monitor real-time data from industrial devices and identify conditions indicative of a performance issue requiring a maintenance action. When such a condition is identified, the IIH system can initiate creation of a work order in the work order management system for tracking and recording of the maintenance task.
    Type: Grant
    Filed: September 20, 2021
    Date of Patent: October 31, 2023
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Sneha R Jadhav, Ryan P Dunn, Nabin Acharya, Chirayu S Shah, Anoop Mohan, Stuart Fergusson, Meraj Imani, Taylor Mathewson
  • Patent number: 11797866
    Abstract: A method for using a distributed ledger (DL) of a blockchain applicable to a network of blockchain nodes is provided.
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: October 24, 2023
    Inventors: Daniel Thomas Harrison, Michael Salem
  • Patent number: 11797776
    Abstract: A device may receive training data that includes datasets associated with natural language processing, and may mask the training data to generate masked training data. The device may train a masked event C-BERT model, with the masked training data, to generate pretrained weights and a trained masked event C-BERT model, and may train an event aware C-BERT model, with the training data and the pretrained weights, to generate a trained event aware C-BERT model. The device may receive natural language text data identifying natural language events, and may process the natural language text data, with the trained masked event C-BERT model, to determine weights. The device may process the natural language text data and the weights, with the trained event aware C-BERT model, to predict causality relationships between the natural language events, and may perform actions, based on the causality relationships.
    Type: Grant
    Filed: January 19, 2021
    Date of Patent: October 24, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Vivek Kumar Khetan, Mayuresh Anand, Roshni Ramesh Ramnani, Shubhashis Sengupta, Andrew E. Fano
  • Patent number: 11789955
    Abstract: A method and a system process a stream of data in parallel across a plurality of nodes. The log processing system has a log module, a query language module, and a query processing module. The log module receives and organizes the stream of data into a sequential and nested data structure. The query language operator module defines operators that operate on the sequential and nested data structure. The query processing module processes in parallel across a plurality of nodes a query based on an operator on the stream of data.
    Type: Grant
    Filed: October 13, 2017
    Date of Patent: October 17, 2023
    Assignee: eBay Inc.
    Inventors: Gyanit Singh, Chi-Hsien Chiu, Neelakantan Sundaresan
  • Patent number: 11783931
    Abstract: A drug monitoring tool comprises a data receiver and an interactive user interface. The data receiver is configured to receive a pharmacokinetic (PK) profile of a patient. The interactive user interface is configured to display, to the patient, a time-varying therapeutic plasma protein level of the patient and delineate a plurality of zones within the interactive user interface associated with the time-varying therapeutic plasma protein level. The plurality of zones includes a safe zone indicating to the patient that the time-varying therapeutic plasma protein level is within a first concentration range considered safe for physical activity and a danger zone indicating to the patient that the time-varying therapeutic plasma protein level is within a second concentration range and physical activity should be limited.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: October 10, 2023
    Assignee: TAKEDA PHARMACEUTICAL COMPANY LIMITED
    Inventors: Gerald Spotts, Roman Pichler, Michael Nelson
  • Patent number: 11783008
    Abstract: Certain embodiments involve using a machine-learning tool to generate metadata identifying segments and topics for text within a document. For instance, in some embodiments, a text processing system obtains input text and applies a segmentation-and-labeling model to the input text. The segmentation-and-labeling model is trained to generate a predicted segment for the input text using a segmentation network. The segmentation-and-labeling model is also trained to generate a topic for the predicted segment using a pooling network of the model to the predicted segment. The output of the model is usable for generating metadata identifying the predicted segment and the associated topic.
    Type: Grant
    Filed: November 6, 2020
    Date of Patent: October 10, 2023
    Assignee: Adobe Inc.
    Inventors: Rajiv Jain, Varun Manjunatha, Joseph Barrow, Vlad Ion Morariu, Franck Dernoncourt, Sasha Spala, Nicholas Miller
  • Patent number: 11783215
    Abstract: An information processing apparatus includes: a processor configured to: when a request for recommendation information and situation information are input, identify one or more actions associated with a situation indicated by the situation information based on action history information in which a past action is associated with a situation where the past action is executed, the situation information indicating a situation of a user; for each target action among the one or more identified actions, calculate a first probability and a second probability, the first probability being a probability that each target action is included as a choice for the user, the second probability being a probability that the user selects each target action when the each target action is included as the choice; and output an action with a relatively low first probability and a relatively high second probability, as the recommendation information, among the one or more actions.
    Type: Grant
    Filed: July 27, 2020
    Date of Patent: October 10, 2023
    Assignee: FUJITSU LIMITED
    Inventor: Takashi Imai
  • Patent number: 11758324
    Abstract: Provided is sound source enhancement technology that is capable of improving sound source enhancement capabilities in a configuration using a beamformer to suppress interference noise. A PSD optimization device includes a PSD updating unit that takes a target sound PSD input value, an interference noise PSD input value, and a background noise PSD input value as input, and generates a target sound PSD output value, an interference noise PSD output value, and a background noise PSD output value, by solving an optimization problem for a cost function relating to a variable representing a target sound PSD, a variable representing an interference noise PSD, and a variable representing a background noise PSD.
    Type: Grant
    Filed: August 8, 2019
    Date of Patent: September 12, 2023
    Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Hironobu Chiba, Kenta Niwa, Noboru Harada
  • Patent number: 11748653
    Abstract: Apparatuses, systems, program products, and method are disclosed for machine learning abstraction. An apparatus includes an objective module configured to receive an objective to be analyzed using machine learning. An apparatus includes a grouping module configured to select a logical grouping of one or more machine learning pipelines to analyze a received objective. An apparatus includes an adjustment module configured to dynamically adjust one or more machine learning settings for a logical grouping of one or more machine learning pipelines based on feedback generated in response to analyzing a received objective.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: September 5, 2023
    Assignee: DataRobot, Inc.
    Inventors: Nisha Talagala, Vinay Sridhar, Swaminathan Sundararaman, Sindhu Ghanta, Lior Amar, Lior Khermosh, Bharath Ramsundar, Sriram Subramanian, Drew Roselli
  • Patent number: 11748772
    Abstract: A method includes executing operations to generate a first enhancement function based on a parent-child link in a content hierarchy including a link between a parent node in a first level of the content hierarchy to a child node in a second level of the content hierarchy below the first level. A second enhancement function is generated based on a sibling link in the content hierarchy including a link between a sibling node in a third level of the content hierarchy and a sibling node in the third level of the content hierarchy sharing a common parent node with the first sibling node in a fourth level of the content hierarchy above the third level. A user content consumption metric is generated based on the first and second enhancement functions. A content list including a set of candidate content items ranked based on the user content consumption metric is generated.
    Type: Grant
    Filed: February 11, 2021
    Date of Patent: September 5, 2023
    Assignee: Yahoo Assets LLC
    Inventors: Suleyman Cetintas, Pengyang Wang
  • Patent number: 11748351
    Abstract: The disclosed embodiments relate to a system that updates a context that facilitates evaluating qualitative search terms for an attribute during query processing. During operation, the system extracts a value for the attribute from each data item. Next, the system updates the context based on the extracted attribute values, wherein the context includes a concept-mapping for one or more qualitative search terms applied to the attribute, and wherein each concept-mapping associates a given attribute value with a compatibility index that indicates a compatibility between the given attribute value and a corresponding qualitative search term.
    Type: Grant
    Filed: May 20, 2021
    Date of Patent: September 5, 2023
    Assignee: Splunk Inc.
    Inventors: Michael E. Cormier, William E. Thackrey, Earl D. Cox
  • Patent number: 11741699
    Abstract: Methods and apparatus for using one or more feature recognition system(s) to identify features in a scanned image and to associate tags with identified features are described. Probabilities of a feature being present are taken into consideration in some embodiments. In various embodiments once a tag has been determined as corresponding to a feature which has been confirmed as being in the scanned image synonyms for the tag word are identified and also associated with the scanned image. By using results of multiple automated feature recognition systems and generating overall probabilities that a feature is present in an image more reliable tagging can be implemented in an automated manner than in system which rely on a single AI system without the need for extensive operator input with respect to identification of all features in the image which are to be tagged.
    Type: Grant
    Filed: March 3, 2020
    Date of Patent: August 29, 2023
    Assignee: Wrethink, Inc.
    Inventors: James Gardner, Arlene Harris
  • Patent number: 11734958
    Abstract: Technologies and implementations for facilitating behavior prediction based on analysis of surveillance data are generally disclosed. The technologies and implementations include identification of subjects, associating the subjects with behavior, predicting future behavior of the subject, and providing a behavior influencing incentive to the subject.
    Type: Grant
    Filed: June 19, 2015
    Date of Patent: August 22, 2023
    Assignee: eConnect, Inc.
    Inventors: Henry Valentino, III, Jack Coronel
  • Patent number: 11727286
    Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced.
    Type: Grant
    Filed: June 14, 2021
    Date of Patent: August 15, 2023
    Assignee: Diveplane Corporation
    Inventors: Christopher James Hazard, Michael Resnick
  • Patent number: 11714961
    Abstract: Methods and apparatus for using one or more feature recognition system(s) to identify features in a scanned image and to associate tags with identified features are described. Probabilities of a feature being present are taken into consideration in some embodiments. In various embodiments once a tag has been determined as corresponding to a feature which has been confirmed as being in the scanned image synonyms for the tag word are identified and also associated with the scanned image. By using results of multiple automated feature recognition systems and generating overall probabilities that a feature is present in an image more reliable tagging can be implemented in an automated manner than in system which rely on a single AI system without the need for extensive operator input with respect to identification of all features in the image which are to be tagged.
    Type: Grant
    Filed: March 3, 2020
    Date of Patent: August 1, 2023
    Assignee: Wrethink, Inc.
    Inventors: James Gardner, Arlene Harris
  • Patent number: 11712193
    Abstract: Systems and methods for tracking EEG data and providing enhanced seizure detection and prediction are disclosed. The systems and methods use input sensors for receiving and collecting data from a plurality of EEG channels in association with a subject and processing said data to calculate and average Lyapunov exponents for a composite EEG data set. The systems and methods convert the average Lyapunov exponents into graphical representations that are displayed against a time axis. The graphical output adjusts in real-time according to the input data obtained from EEG channels. The systems and methods utilize pattern recognition to output alarms based upon input data and recommend diagnoses related to seizures.
    Type: Grant
    Filed: August 17, 2017
    Date of Patent: August 1, 2023
    Assignees: Arizona Board of Regents on behalf of Arizona State University, Dignity Health
    Inventors: Ashfaque Shafique, David Treiman, Konstantinos Tsakalis
  • Patent number: 11708983
    Abstract: A heating, ventilation, and air conditioning (HVAC) control device is configured to record a plurality of actual occupancy statuses, to determine a plurality of corresponding predicted occupancy statuses, and to compare the plurality of predicted occupancy statuses to the plurality of actual occupancy statuses. The device is further configured to identify conflicting occupancy statuses based on the comparison. A conflicting occupancy status indicates a difference between an actual occupancy status and a corresponding predicted occupancy status. The device is further configured to identify timestamps corresponding with the conflicting occupancy statuses, to identify historical occupancy statuses corresponding with the identified timestamps, and to update the conflicting occupancy statuses in the predicted occupancy schedule with the historical occupancy statuses.
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: July 25, 2023
    Assignee: Lennox Industries Inc.
    Inventors: Sridhar Venkatesh, Payam Delgoshaei, Janathkumar Manohararaj
  • Patent number: 11704363
    Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for generating highly scalable temporal graph databases. In one embodiment, a novel architecture is presented that enables the identification of mutation or changes in graphs. For the identification a combination of graph-based modeling and journal entry is used. Events occurring are consumed and changes are ingested, transformed for use by a graph simulation system. The changes are journaled using a vertex centric temporal journaling schema.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: July 18, 2023
    Assignee: PayPal, Inc.
    Inventors: Rey Neo, Chun Kiat Ho, Lin Song, Kai Xie, Quin Zuo, Xin Li, Pengshan Zhang, Meng Zang, Xiaohan Yun, Karl Anton Hennig, Jun Zhang, Thomas Doran, Jerry Tso
  • Patent number: 11700836
    Abstract: One variation of a method includes: accessing a video feed recorded at a training apparatus configured to dispense primary reinforcer units; dispensing a first primary reinforcer unit toward a first location; in response to detecting the animal at the first location, dispensing a second primary reinforcer unit toward a second location intersecting a pathway extending from the first location; in response to detecting movement of the animal along the pathway, collecting a timeseries of position data representing changes in position of a set of anatomical features of the animal; based on the timeseries of position data, deriving a movement profile representing movement of the animal along the pathway; based on a difference between the movement profile and a baseline movement profile defined for the animal, interpreting an abnormality and predicting a causal pathway for the abnormality; and selecting a mitigation protocol based on the causal pathway.
    Type: Grant
    Filed: August 11, 2022
    Date of Patent: July 18, 2023
    Assignee: Companion Labs, Inc.
    Inventors: Paul Mundell, Camden Olson, Libby Rockaway, John Honchariw
  • Patent number: 11706491
    Abstract: Systems and methods are described for selecting content item identifiers for display. The system may identify a set of content items that are likely to be requested in the future based on a history of content item requests. The system then selects a first plurality of content categories using a category selection neural net and selects a first set of recommended content items for the first plurality of content categories. The system increases a reward score for the first plurality of content categories based on receiving a request for a content item that is included in the first set of recommended content items. The system also decreases the reward score for the first plurality of content categories based on determining that the requested content item is included in the set of content items that are likely to be requested in the future. The neural net is trained based on the reward score of the first plurality of content categories to reinforce reward score maximization.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: July 18, 2023
    Assignee: Rovi Guides, Inc.
    Inventor: Kyle Miller
  • Patent number: 11694800
    Abstract: Performing an operation comprising generating, by a computing system based on data received from a plurality of data sources, a data model describing a patient, wherein the data comprises medical history data of the patient and observation data received by the computing system during observation of at least one medical professional, generating, by the computing system and based on the model applied to the received data, a plurality of candidate diagnoses for the patient, executing, by the computing system, a plurality of simulations of a plurality of candidate treatments generated by the computing system based on the model, and identifying a first candidate treatment of the plurality of candidate treatments that reduces an uncertainty value of the data model below a threshold.
    Type: Grant
    Filed: May 9, 2018
    Date of Patent: July 4, 2023
    Assignee: International Business Machines Corporation
    Inventors: Maria Eleftherou, Chung-Sheng Li, Shahram Ebadollahi, Francisco Curbera
  • Patent number: 11686663
    Abstract: Some embodiments of the methods provided herein relate to sample analysis and particle characterization methods. Some such embodiments include receiving, from a particle analyzer, measurements for a first portion of particles associated with an experiment. Some embodiments also include generating a tree representing groups of related particles based at least in part on the measurements, wherein the tree includes at least three groups. Some embodiments also include generating a measure of relatedness between a first group and a second group of the tree based at least in part on the measurements. Some embodiments also include and configuring the particle analyzer to classify a subsequent particle associated with the experiment with the first group real-time, wherein the subsequent particle is not included in the first portion of particles. Some embodiments also include sorting the subsequent particle.
    Type: Grant
    Filed: April 8, 2021
    Date of Patent: June 27, 2023
    Assignee: BECTON, DICKINSON AND COMPANY
    Inventors: Joseph Trotter, Paul Barclay Purcell
  • Patent number: 11676292
    Abstract: Systems, methods, and computer program products are described that include obtaining, at a processor, a first image from an image capture device onboard a computing device, detecting, using the processor and at least one sensor, a device orientation of the computing device associated with capture of the first image, determining, based on the device orientation and a tracking stack associated with the computing device, a rotation angle in which to rotate the first image, rotating the first image to the rotation angle to generate a second image, and generating neural network based estimates associated with the first image and the second image.
    Type: Grant
    Filed: June 22, 2021
    Date of Patent: June 13, 2023
    Assignee: GOOGLE LLC
    Inventors: Chloe LeGendre, Ranjith Kagathi Ananda, Ran Tao, Wim Meeussen
  • Patent number: 11676025
    Abstract: A method for training an automated learning system includes processing training input with a first neural network and processing the output of the first neural network with a second neural network. The input layer of the second neural network corresponding to the output layer of the first neural network. The output layer of the second neural network corresponding to the input layer of the first neural network. An objective function is determined using the output of the second neural network and a predetermined modification magnitude. The objective function is approximated using random Cauchy projections which are propagated through the second neural network.
    Type: Grant
    Filed: October 29, 2018
    Date of Patent: June 13, 2023
    Assignees: Robert Bosch GmbH, Carnegie Mellon University
    Inventors: Jeremy Zico Kolter, Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen
  • Patent number: 11675646
    Abstract: Techniques for anomaly detection are described. An exemplary method includes receiving a request to monitor for anomalies from one or more data sources; analyzing time-series data from the one or more data sources; generating a recommendation for handling the determined anomaly, the recommendation generated by performing one or more of a root cause analysis, a heuristic analysis, and an incident similarity analysis; and reporting the anomaly and recommendation.
    Type: Grant
    Filed: June 25, 2020
    Date of Patent: June 13, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Jan Gasthaus, Mohamed El Fadhel Ayed, Lorenzo Stella, Tim Januschowski
  • Patent number: 11669579
    Abstract: Disclosed are a method and apparatus for providing search results. The method may include: carrying out search intention analysis on an input search term so as to determine whether the search term includes an answer requirement; if so, using the search term to retrieve answer content corresponding to the answer requirement; obtaining content to be recommended associated with the answer content; and combining the answer content with the content to be recommended so as to generate at least one search result. Abundant search results can be efficiently provided.
    Type: Grant
    Filed: August 14, 2019
    Date of Patent: June 6, 2023
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Guoqing Liu, Yinfang Jia, Yanfeng Zhu, Cong Han, You Han, Peng Li, Yueran Dang, Min Chen
  • Patent number: 11668481
    Abstract: In some embodiments, apparatuses and methods are provided herein useful to assess monitor, improve, and/or modify health and well-being as it relates to people associated with a habitable or other built environments or spaces therein. In some embodiments, an intervention assessment system and methods include one or more sensors for measuring aspects related to the built environment, a personal user device, and a control circuit configured to receive one or more measurements form the sensor(s), identify a problem with the built environment, and identify potential interventions based on the indicators associated with the problem. By one approach, a plurality of potential interventions may be ranked based on, for example, the ability to reduce the prevalence of the problem or indicator in the built environment, feasibility, cost, and timeliness. In some approaches, the system and method also select and may implement one or more interventions.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: June 6, 2023
    Assignee: Delos Living LLC
    Inventors: Trevor Granger, Jennifer Lan-Anh Nguyen, Dana Pillai, Regina Vaicekonyte-Peters, Jie Zhao
  • Patent number: 11670324
    Abstract: This application related to Artificial Intelligence technical field and discloses a robot and a method for predicting an emotion status by a robot. The method includes: determining a first emotion status of a first user, where the first emotion status is an emotion status of the first user at a first moment; predicting a second emotion status based on the first emotion status and a first emotion prediction model, where the second emotion status is an emotion status of the first user at a second moment, and the second moment is later than the first moment; and outputting a response to the first user based on the second emotion status.
    Type: Grant
    Filed: August 26, 2019
    Date of Patent: June 6, 2023
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventor: Mingjie Dong
  • Patent number: 11663161
    Abstract: Methods, apparatus, systems and articles of manufacture to classify a first file are disclosed herein. Example apparatus include a feature hash generator to generate respective sets of one or more feature hashes for respective features of the first file. The number of the one or more feature hashes to be generated is based on an ability of the feature to distinguish the first file from a second file. The apparatus also includes a bit setter to set respective bits of a first fuzzy hash value based on respective ones of the one or more feature hashes, a classifier to assign the first file to a class associated with a second file based on a similarity between the first fuzzy hash value and a second fuzzy hash value for a second file.
    Type: Grant
    Filed: May 17, 2021
    Date of Patent: May 30, 2023
    Assignee: McAfee, LLC
    Inventor: Di Tian
  • Patent number: 11656605
    Abstract: An industrial monitoring system comprises a monitoring device attached to an industrial device by a bond. Sensor data collected by the monitoring device during a commissioning period is received and used to train a machine learning model. Subsequent to the commissioning period, additional sensor data is collected by the monitoring device. An abnormal state of the bond between the monitoring device and industrial device is determined based on the additional sensor data and a characteristic inferred by the trained machine learning model. A notification of the abnormal state is generated.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: May 23, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: David Manley, Marinus Jan de Putter
  • Patent number: 11657457
    Abstract: The technology disclosed provides systems and methods that display database objects representing entities, placement channels and workflow status in an insurance or other risk transfer program. Specially coded distribution trees and graphs of nodes represent the overall flow and, optionally, status of placement workflows. Node and edge data generated for display depicts multiple risk placements on behalf of at least one requesting party through intermediaries to responding parties. Line width of edges represents calculated relative size of placements, and pattern, style, and color of edges can depict statuses of the risk placements. Another geo-coded map display also depicts as nodes a requesting party, intermediaries and responding parties, connected by edges that represent communication channels.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: May 23, 2023
    Assignee: OnRisk, Inc.
    Inventors: Francis Joseph Sweeney, John Arthur Daves Kelley, Christopher Collins
  • Patent number: 11650751
    Abstract: A method for determining a solution to a constrained optimization problem includes programming a weights matrix of a Hopfield network with a first encoded matrix representation of an initial constrained optimization problem. The method also includes employing the Hopfield network to determine a solution to the initial constrained optimization problem. Additionally, the method includes encoding a plurality of constrained optimization problems associated with a target constrained optimization problem into a plurality of encoded matrix representations each of which are a combination of the first and the second encoded matrix representations. The plurality of encoded matrix representations increases in convergence to the second encoded matrix representation of the target constrained optimization problem sequentially. The method further includes re-programming the weights matrix of the Hopfield network in an iterative manner with the plurality of encoded matrix representations.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: May 16, 2023
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan