50th week of 2019 patent applcation highlights part 43 |
Patent application number | Title | Published |
20190378005 | CONTINUOUS LEARNING OF SIMULATION TRAINED DEEP NEURAL NETWORK MODEL - The present invention provides a system and method of side-stepping the need to retrain neural network model after initially trained using a simulator by comparing real-world data to data predicted by the simulator for the same inputs, and developing a mapping correlation that adjusts real world data toward the simulation data. Thus, the decision logic developed in the simulation-trained model is preserved and continues to operate in an altered reality. A threshold metric of similarity can be initially provided into the mapping algorithm, which automatically adjusts real world data to adjusted data corresponding to the simulation data for operating the neural network model when the metric of similarity between the real world data and the simulation data exceeds the threshold metric. Updated learning can continue as desired, working in the background as conditions are monitored. | 2019-12-12 |
20190378006 | TEACHER AND STUDENT LEARNING FOR CONSTRUCTING MIXED-DOMAIN MODEL - A technique for constructing a model supporting a plurality of domains is disclosed. In the technique, a plurality of teacher models, each of which is specialized for different one of the plurality of the domains, is prepared. A plurality of training data collections, each of which is collected for different one of the plurality of the domains, is obtained. A plurality of soft label sets is generated by inputting each training data in the plurality of the training data collections into corresponding one of the plurality of the teacher models. A student model is trained using the plurality of the soft label sets. | 2019-12-12 |
20190378007 | CHARACTERIZING ACTIVITY IN A RECURRENT ARTIFICIAL NEURAL NETWORK - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for characterizing activity in a recurrent artificial neural network. In one aspect, a method can include characterizing activity in an artificial neural network. The method is performed by data processing apparatus and can include identifying clique patterns of activity of the artificial neural network. The clique patterns of activity can enclose cavities. | 2019-12-12 |
20190378008 | ENCODING AND DECODING INFORMATION - A method that is implemented by one or more data processing devices can include receiving a training set that includes a plurality of representations of topological structures in patterns of activity in a source neural network and training a neural network using the representations either as an input to the neural network or as a target answer vector. The activity is responsive to an input into the source neural network. | 2019-12-12 |
20190378009 | METHOD AND ELECTRONIC DEVICE FOR CLASSIFYING AN INPUT - A method including, at a processor, obtaining an input to be classified, training a neural network, and classifying the input using the trained neural network. The training of the neural network being done in a feed-forward manner based on a plurality of sample inputs and sample classifications. Each of the sample classifications is associated with one of the plurality of sample inputs. The training includes, for each of a plurality of layers in the neural network, selecting values for a weight matrix, parameters for a plurality of activation unit functions, and a plurality of linear filter parameters. The classifying the input using the trained neural network is based on the weight matrix, the parameters for the plurality of activation unit functions, and the plurality of linear filter parameters for each of the plurality of layers. | 2019-12-12 |
20190378010 | UNSUPERVISED MACHINE LEARNING SYSTEM TO AUTOMATE FUNCTIONS ON A GRAPH STRUCTURE - Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems. | 2019-12-12 |
20190378011 | COMPUTER-READABLE RECORDING MEDIUM AND LEARNING DATA GENERATION METHOD - A learning device receives, for each target, learning data that represents the source of generation of a tensor including a plurality of elements which multi-dimensionally represent the features of the target over a period of time set in advance. When the target satisfies a condition set in advance, the learning device identifies the period of time corresponding to the condition in the learning data. Subsequently, the learning device generates a weighted tensor corresponding to the learning data that is at least either before or after the concerned period of time. | 2019-12-12 |
20190378012 | Metrology Apparatus and Method for Determining a Characteristic of One or More Structures on a Substrate - Disclosed is a method of determining a characteristic of interest relating to a structure on a substrate formed by a lithographic process, the method comprising: obtaining an input image of the structure; and using a trained neural network to determine the characteristic of interest from said input image. Also disclosed is a reticle comprising a target forming feature comprising more than two sub-features each having different sensitivities to a characteristic of interest when imaged onto a substrate to form a corresponding target structure on said substrate. Related methods and apparatuses are also described. | 2019-12-12 |
20190378013 | SELF-TUNING MODEL COMPRESSION METHODOLOGY FOR RECONFIGURING DEEP NEURAL NETWORK AND ELECTRONIC DEVICE - A self-tuning model compression methodology for reconfiguring a Deep Neural Network includes: receiving a DNN model and a data set, wherein the DNN includes an input layer, at least one hidden layer and an output layer, and said at least one hidden layer and the output layer of the DNN model includes a plurality of neurons; compressing the DNN model into a reconfigured model according to the data set, wherein the reconfigured model includes an input layer, at least one hidden layer and an output layer, and said at least one hidden layer and the output layer of the reconfigured model includes a plurality of neurons, and a size of the reconfigured model is smaller than a size of the DNN model; and executing the reconfigured model on a user terminal for an end-user application. | 2019-12-12 |
20190378014 | NEURAL NETWORK LOAD REDUCTION DEVICE, INFORMATION PROCESSING UNIT, AND NEURAL NETWORK LOAD REDUCTION METHOD AND COMPUTER-READABLE STORAGE MEDIUM - An information processing unit includes: an attention module having an attention layer and a computation section and that is for a neural network including plural levels of layer, the attention layer being configured to compute an output feature corresponding to an input feature from a predetermined layer and based on a parameter; the computation section that multiplies the input feature by the output feature, and outputs a computed result to a layer at a next level; the first learning unit connected to the neural network and that learns the parameter in a state in which learning has been suspended at least for the predetermined layer and the next level layer; and the channel selection section that selects as a redundant channel a channel satisfying a predetermined relationship between the output feature and a predetermined threshold value. | 2019-12-12 |
20190378015 | TRAINING A MACHINE LEARNING MODEL WITH LIMITED TRAINING DATA - A method may include a transforming a trained machine learning model including by replacing at least one layer of the trained machine learning model with a dictionary matrix and a coefficient matrix. The dictionary matrix and the coefficient matrix may be formed by decomposing a weight matrix associated with the at least one layer of the trained machine learning model. A product of the dictionary matrix and the coefficient matrix may form a reduced-dimension representation of the weight matrix associated with the at least one layer of the trained machine learning model. The transformed machine learning model may be deployed to a client. Related systems and computer program products are also provided. | 2019-12-12 |
20190378016 | DISTRIBUTED COMPUTING ARCHITECTURE FOR LARGE MODEL DEEP LEARNING - A distributed network architecture for deep learning including a model mapping table (MMT) storing information regarding respective portions of a deep learning model distributed amongst a plurality of interconnected host nodes. Respective host nodes can comprise at least one central processing unit (CPU), at least one CPU memory, at least one graphics processing unit (GPU), and at least one GPU memory. The deep learning model can be trained by receiving a request from a requesting GPU for a first portion of the deep learning model, identifying a first host node storing the first portion of the deep learning model, providing a first copy of the first portion of the deep learning model to the requesting GPU memory, performing processing on the first copy by the requesting GPU, and updating the MMT based on the processing performed on the first copy of the first portion of the deep learning model. | 2019-12-12 |
20190378017 | SYSTEM AND METHOD FOR IMPLEMENTING A NEURAL NETWORK - In a neural network, hidden layers are modified by supplying input data, an output label, and internal teaching labels to the neural network; causing the neural network to process the input data through the hidden layers and outputting a result of the processing for comparison with the output label; supplying the internal teaching labels to the hidden layers and calculating scores for the hidden layers based on the internal teaching labels; and modifying the hidden layers or hidden nodes based on the calculated scores and the comparison of the processing result with the output label. The modifications to the hidden layers or hidden nodes may involve pruning hidden nodes by dropping lower scoring nodes; reducing a number of bits in computations and outputs; reducing a number of bits in selected nodes; bypassing lower scoring nodes; modifying activation functions of the hidden nodes based on the calculated scores; and/or adding hidden layers or hidden nodes. | 2019-12-12 |
20190378018 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD - There is provided an information processing device which efficiently executes machine learning. The information processing device according to one embodiment includes: an obtaining unit which obtains a source code including a code which defines Forward processing of each layer constituting a neural network; a storage unit which stores an association relationship between each Forward processing and Backward processing associated with each Forward processing; and an executing unit which successively executes each code included in the source code, and which calculates an output value of the Forward processing defined by the code based on an input value at a time of execution of each code, and generates a reference structure for Backward processing in a layer associated with the code based on the association relationship stored in the storage unit. | 2019-12-12 |
20190378019 | SYSTEMS AND METHODS ENABLING ONLINE ONE-SHOT LEARNING AND GENERALIZATION BY INTELLIGENT SYSTEMS OF TASK-RELEVANT FEATURES AND TRANSFER TO A COHORT OF INTELLIGENT SYSTEMS - An intelligent system, such as an autonomous robot agent, includes systems and methods to learn various aspects about a task in response to instructions received from a human instructor, to apply the instructed knowledge immediately during task performance following the instruction, and to instruct other intelligent systems about the knowledge for performing the task. The learning is accomplished free of training the intelligent system. The instructions from the human instructor may be provided in a natural language format and may include deictic references. The instructions may be received while the intelligent system is online, and may be provided to the intelligent system in one shot, e.g., in a single encounter or transaction with the human instructor. | 2019-12-12 |
20190378020 | BUILDING ENERGY SYSTEM WITH ENERGY DATA STIMULATION FOR PRE-TRAINING PREDICTIVE BUILDING MODELS - A building energy system for a building, the building energy system including one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a building model, the building model defining a physical construction of the building, generate predicted energy usage data of the building based on the building model and historical weather data, train a predictive building model based on the predicted energy usage data, wherein the predictive building model indicates a prediction of an optimal equipment operating setting, generate the optimal equipment operating setting based on the predictive building model, and operate one or more pieces of building equipment based on the optimal equipment setting to control an environmental condition of the building. | 2019-12-12 |
20190378021 | TEXT-BASED INFERENCE CHAINING - A method for generating inference graphs over content to answer input inquiries. First, independent factors are produced from the inquiry, and these factors are converted to questions. The questions are then input to a probabilistic question answering system (PQA) that discovers relations which are used to iteratively expand an inference graph starting from the factors and ending with possible answers. A probabilistic reasoning system is used to infer the confidence in each answer by, for example, propagating confidences across relations and nodes in the inference graph as it is expanded. The inference graph generator system can be used to simultaneously bi-directionally generate forward and backward inference graphs that uses a depth controller component to limit the generation of both paths if they do not meet. Otherwise, a joiner process forces the discovery of relations that join the answers to factors in the inquiry. | 2019-12-12 |
20190378022 | MISSING VALUE IMPUTATION TECHNIQUE TO FACILITATE PROGNOSTIC ANALYSIS OF TIME-SERIES SENSOR DATA - First, the system obtains time-series sensor data. Next, the system identifies missing values in the time-series sensor data, and fills in the missing values through interpolation. The system then divides the time-series sensor data into a training set and an estimation set. Next, the system trains an inferential model on the training set, and uses the inferential model to replace interpolated values in the estimation set with inferential estimates. If there exist interpolated values in the training set, the system switches the training and estimation sets. The system trains a new inferential model on the new training set, and uses the new inferential model to replace interpolated values in the new estimation set with inferential estimates. The system then switches back the training and estimation sets. Finally, the system combines the training and estimation sets to produce preprocessed time-series sensor data, wherein missing values are filled in with imputed values. | 2019-12-12 |
20190378023 | SYSTEM AND METHOD FOR RECOMMENDING BUSINESS EXPERIENCE PACKAGES - A system and method for recommending a business experience package. The method includes recommending the business experience package stored in the cloud think tank, related to an industry in which a user is engaged and not downloaded to the user to the user after the user logs into the system, and recommending, according to detected content edited by the user in the man-machine interaction interface, the business experience package with the business type matching the edited content to the user; and, recommend according to the user's historical information of interest and historical search information, the business experience package with the business type related to the historical information of interest and the historical search information to the user. | 2019-12-12 |
20190378024 | SYSTEMS TO AUGMENT CONVERSATIONS WITH RELEVANT INFORMATION OR AUTOMATION USING PROACTIVE BOTS - Aspects of the technology described herein relate generally to a platform that enables the deployment of autonomous bots that identify and deliver relevant content in real-time based on received information. These bots may be designed to proactively provide relevant content without any explicit trigger from a user. For example, a bot may analyze speech and/or text in a primary communication channel (e.g., a telephone, email, webchat, or videophone) and proactively provide content relevant to the speech and/or text in one or more secondary communication channels (e.g., displayed on a computer screen, a mobile device screen, and/or a pair of smart glasses). | 2019-12-12 |
20190378025 | QUANTUM FEATURE KERNEL ESTIMATION - Techniques and a system to facilitate quantum computation are provided. In one example, a system includes a processor that executes computer executable components stored in a memory; a quantum feature map circuit component that estimates a kernel associated with a feature map; and a support vector machine component that performs a classification using the estimated kernel. | 2019-12-12 |
20190378026 | COGNITIVE SYSTEMATIC REVIEW (CSR) FOR SMARTER COGNITIVE SOLUTIONS - An approach for determining a veracity of a reported event is provided. In an embodiment, a set of predictor variables is retrieved from a selected use case. Each of these predictor values is a condition that indicates the veracity of the reported event. In addition, a set of hidden predictor variables is generated from a set of unstructured documents related to the reported event using a hidden Markov model that is based on the predictor variables using a cognitive system. These hidden predictor variables are combined with the set of predictor variables to generate a set of updated predictor variables. These updated predictor variables are used by the cognitive system to return a determination of the veracity of the reported event. | 2019-12-12 |
20190378027 | SYSTEMS AND METHODS FOR PROVIDING PREDICTIVE AFFINITY RELATIONSHIP INFORMATION - In certain aspects, the disclosed implementations include methods and systems for dynamically generating and determining transaction affinity relationship information associated with a set of merchants involved in a set of transactions. In certain implementations, the transaction affinity relationship information may reflect affinity relationships between merchant chains in a merchant affinity network. The disclosed implementations may receive an adjustment to an affinity relationship associated with a merchant chain, and based on the adjustment, predicts one or more changes to affinity relationships associated with other merchant chains in the merchant affinity network. | 2019-12-12 |
20190378028 | ACCELERATING MACHINE LEARNING INFERENCE WITH PROBABILISTIC PREDICATES - Implementations are presented for utilizing probabilistic predicates (PPs) to speed up searches requiring machine learning inferences. One method includes receiving a search query comprising a predicate for filtering blobs in a database utilizing a user-defined-function (UDF). The filtering requiring analysis of the blobs by the UDF to determine blobs that pass the filtering. Further, the method includes determining a PP sequence of PPs based on the predicate. Each PP is a classifier that calculates a PP-blob probability of satisfying a PP clause. The PP sequence defines an expression to combine the PPs. Further, the method includes operations for performing the PP sequence to determine a blob probability that the blob satisfies the expression, determining which blobs meet an accuracy threshold, discarding the blobs with the blob probability less than the accuracy threshold, and executing the database query over the blobs that have not been discarded. The results are then presented. | 2019-12-12 |
20190378029 | METHODS FOR PREDICTING LIKELIHOOD OF SUCCESSFUL EXPERIMENTAL SYNTHESIS OF COMPUTER-GENERATED MATERIALS BY COMBINING NETWORK ANALYSIS AND MACHINE LEARNING - One aspect of the disclosure relates to systems and methods for determining probabilities of successful synthesis of materials in the real world at one or more points in time. The probabilities of successful synthesis of materials in the real world at one or more points in time can be determined by representing the materials and their pre-defined relationships respectively as nodes and edges in a network form, and computation of the parameters of the nodes in the network as input to a classification model for successful synthesis. The classification model being configured to determine probabilities of successful synthesis of materials in the real world at one or more points in time. | 2019-12-12 |
20190378030 | SYSTEMS AND METHODS FOR PROBABILISTIC SEMANTIC SENSING IN A SENSORY NETWORK - Systems and methods for probabilistic semantic sensing in a sensory network are disclosed. The system receives raw sensor data from a plurality of sensors and generates semantic data including sensed events. The system correlates the semantic data based on classifiers to generate aggregations of semantic data. Further, the system analyzes the aggregations of semantic data with a probabilistic engine to produce a corresponding plurality of derived events each of which includes a derived probability. The system generates a first derived event, including a first derived probability, that is generated based on a plurality of probabilities that respectively represent a confidence of an associated semantic datum to enable at least one application to perform a service based on the plurality of derived events. | 2019-12-12 |
20190378031 | IN-HOME-PRESENCE PROBABILITY CALCULATION METHOD, SERVER APPARATUS, AND IN-HOME-PRESENCE PROBABILITY CALCULATION SYSTEM - A management method manages a plurality of devices provided in a structure, a server includes storage storing operation information related to a plurality of devices and time information of a time at which it is expected that no one is present. The method specifies, for each device, operation times at which an operation is performed, operation information, specifying in-structure-absence times when it is expected that no one is present, both in accordance with the time information. For each device, time differences for the specified operation times are calculated. For each device, a performed certain operation is a behavior pattern correlated to a behavior when the person continues being present when a ratio of a frequency of the calculated time differences regarding the corresponding device, which is lower than a particular value, is equal to or lower than an other value. | 2019-12-12 |
20190378032 | LAYOUTS FOR FAULT-TOLERANT QUANTUM COMPUTERS - Disclosed herein are example layouts and layout generation techniques for fault-tolerant quantum computers. Example embodiments comprise methods for performing a layout reduction technique for fault-tolerant quantum computing. In certain embodiments, a layout of an arbitrary quantum circuit is reduced to a layout of exponents of a multiple qubit Pauli matrix and measurements of a multiple qubit Pauli matrix. In certain embodiments, qubits are marked as one of a data, interface, or ancilla qubit for a 2D nearest neighbor graph of qubit connectivity, and an ancilla-path is provided from a respective data qubit to a respective interface qubit. | 2019-12-12 |
20190378033 | PARALLEL MULTI-QUBIT OPERATIONS ON A UNIVERSAL ION TRAP QUANTUM COMPUTER - The disclosure describes various aspects related to enabling effective multi-qubit operations, and more specifically, to techniques for enabling parallel multi-qubit operations on a universal ion trap quantum computer. In an aspect, a method of performing quantum operations in an ion trap quantum computer or trapped-ion quantum system includes implementing at least two parallel gates of a quantum circuit, each of the at least two parallel gates is a multi-qubit gate, each of the at least two parallel gates is implemented using a different set of ions of a plurality of ions in a ion trap, and the plurality of ions includes four or more ions. The method further includes simultaneously performing operations on the at least two parallel gates as part of the quantum operations. A trapped-ion quantum system and a computer-readable storage medium corresponding to the method described above are also disclosed. | 2019-12-12 |
20190378034 | PREDICTION OF RETURN PATH DATA QUALITY FOR AUDIENCE MEASUREMENT - Example methods and apparatus to predict return path data quality for audience measurement are disclosed herein. Example apparatus disclosed herein to predict return path data quality include a classification engine to compute a first data set of model features from validation tuning data reported from media metering devices and a second data set of model features from return path data reported from return path data devices. The example apparatus also include a prediction engine to train a machine learning algorithm based on the first data set, and apply the trained machine learning algorithm to the second data set to predict quality of the return path data reported from the return path data devices. | 2019-12-12 |
20190378035 | METHOD, APPARATUS, DEVICE AND MEDIUM FOR CLASSIFYING DRIVING SCENARIO DATA - Embodiments of a method, apparatus, device and computer readable storage medium for classifying driving scenario data includes: acquiring a first driving scenario data set from a crowdsourcing platform, driving scenario data in the first driving scenario data set having been classified; generating a driving scenario classification model at least based on the first driving scenario data set, for classifying driving scenario data collected by a collection entity; acquiring a rule for classifying the driving scenario data, the rule is generated based on a result of classifying the driving scenario data collected by the collection entity using the driving scenario classification model; updating the driving scenario classification model at least based on the rule. | 2019-12-12 |
20190378036 | Reinforcement Learning Based Ground Vehicle Control Techniques - Reinforcement learning based ground vehicle control techniques adapted to reduce energy consumption, braking, shifting, travel distance, travel time, and or the like. The reinforcement learning techniques can include training a reinforcement learning controller based on a simulated ground vehicle environment during a simulation mode, and then further training the reinforcement learning controller based on a ground vehicle environment during an operating mode of a ground vehicle. | 2019-12-12 |
20190378037 | Systems and Methods for Evaluating a Loss Function or a Gradient of a Loss Function via Dual Decomposition - Systems and methods for evaluating a loss function or a gradient of the loss function. In one example embodiment, a computer-implemented method includes partitioning a weight matrix into a plurality of blocks. The method includes identifying a first set of labels for each of the plurality of blocks with a score greater than a first threshold value. The method includes constructing a sparse approximation of a scoring vector for each of the plurality of blocks based on the first set of labels. The method includes determining a correction value for each sparse approximation of the scoring vector. The method includes determining an approximation of a loss or a gradient of a loss associated with the scoring function based on each sparse approximation of the scoring vector and the correction value associated with the sparse approximation of the scoring vector. | 2019-12-12 |
20190378038 | SYSTEMS, METHODS, AND DEVICES FOR THE IDENTIFICATION OF CONTENT CREATORS - Described herein are systems, methods, and devices for scoring digital content creators and their creations. The systems, methods, devices describe herein enable the content buyers to describe a desired work product and find the ideal content creator for the project. | 2019-12-12 |
20190378039 | NORMALIZED PERFORMANCE COMPARISON TECHNIQUES - A normalized driver performance comparison framework can include predicting a plurality of scenarios of a ground vehicle. A Monte Carlo simulation can be utilized to determine results using the predicted plurality of scenarios and one or more predictive models. Best and worst possible scenarios and associated efficiency for an observed scenario can be determined based on the Monte Carlo simulation results. The efficiency for the observed scenario can be normalized as a function of the best and worst efficiencies. | 2019-12-12 |
20190378040 | USER VEHICLE OPERATION INTERFACE SYSTEMS AND METHODS - Presented systems and methods facilitate efficient and effective performance of vehicle operations. In one embodiment, a system comprises a user interface, a processor, and a memory. The user interface is configured to convey information associated with operation of a vehicle to and from a user, wherein the information associated with the operation of the vehicle includes information associated with a performance objective. Information associated with the operation of the vehicle can include metric information that expresses a characteristic corresponding to the performance objective. The metric information can be associated with various aspects (e.g., current, future, etc.) of the vehicle operation. Processing by the processor can include comparative analysis of actual performance of the vehicle operation to target values associated with the vehicle operation. The user interface can include a performance indicator. The performance indicator can be configured to convey information associated with the various aspects of vehicle operation. | 2019-12-12 |
20190378041 | PREDICTIVE CONTROL TECHNIQUES FOR GROUND VEHICLES - A ground vehicle control system including a plurality of sensors and one or more predictive controllers. The sensors can be configured to detect environment information and vehicle operating information. The one or more predictive controllers can be configured to self-train for an energy consumption solution based on one or more control parameters including the environment information and the vehicle operating information. | 2019-12-12 |
20190378042 | Pre-Training of a Reinforcement Learning Ground Vehicle Controller Using Monte Carlo Simulation - Techniques for utilizing a Monte Carlo model to perform pre-training of a ground vehicle controller. A sampled distribution of actions and corresponding states can be utilized to train a reinforcement learning controller policy, learn an action-value function, or select a set of control parameters with a predetermined loss. | 2019-12-12 |
20190378043 | TECHNOLOGIES FOR DISCOVERING SPECIFIC DATA IN LARGE DATA PLATFORMS AND SYSTEMS - Systems, devices, and/or methods may implement one or more machine learning models for finding specific data/items from one or more enterprise resource platforms. The one or more machine learning models may be running on any new (e.g., fresh) transactions that may be fed to/from the one or more enterprise payment systems. The one or more machine learning models may be configured to determine an association between software (e.g., application, program, code, etc.) subscription, purchase, and/or a license and at least one transaction. The one or more models may learn the association and/or may adjust one or more future matches, for example based on the learned associations. Perhaps as the one or more models run, at least one confidence score may be associated with one or more, or each, match made. The confidence score may indicate the confidence and/or reliability of the one or more associations to an end user. | 2019-12-12 |
20190378044 | PROCESSING DYNAMIC DATA WITHIN AN ADAPTIVE ORACLE-TRAINED LEARNING SYSTEM USING CURATED TRAINING DATA FOR INCREMENTAL RE-TRAINING OF A PREDICTIVE MODEL - In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model. | 2019-12-12 |
20190378045 | SYSTEM, METHOD, AND RECORDING MEDIUM FOR GEOLOCATION DATA DISCOVERY IN STREAMING TEXTS - A geolocation data discovery method, system, and non-transitory computer readable medium, include mining a textual alert message of an event from secure source data for a geolocational indicator, a temporal indicator, and a type of alert, embedding a geolocational tag location and a temporal tag time to the event based on the geolocational indicator and the temporal indicator mined from the textual alert message by the secure text mining, mapping the event with an icon related to the type of alert at the geolocational tag location on a navigational map at a time associated with the temporal tag time of the event, learning a false-positive event by comparing a secure sensor with an unsecure sensor as the secure source data, and removing updates to the icon on the map based on the learned false-positive event. | 2019-12-12 |
20190378046 | LEARNING AND DISCRIMINATION DEVICE, AND LEARNING AND DISCRIMINATION METHOD - A learning and discrimination device configured to perform learning by gradient boosting, including: a histogram memory unit configured to store, for each value of a feature amount, a histogram obtained by integrating gradient information corresponding to the value in sample data; a category accumulated gradient calculator configured to calculate a histogram corresponding to a value of the feature amount corresponding to a threshold for the feature amount as a cumulative sum of the gradient information; a non-category accumulated gradient calculator configured to calculate, as a cumulative sum of the gradient information, a sum of a histogram corresponding to a value of the feature amount that is classified using a classification method with the threshold different from the category accumulated gradient calculator; and a cumulative sum selector configured to output the cumulative sum calculated by the category accumulated gradient calculator or the non-category accumulated gradient calculator. | 2019-12-12 |
20190378047 | QUANTUM COMPUTATIONS OF CLASSICAL SPECIFICATIONS - Systems, computer-implemented methods, and computer program products to facilitate quantum domain computation of classical domain specifications are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an input transformation component that can be adapted to receive one or more types of domain-specific input data corresponding to at least one of a plurality of domains. The input transformation component can transform the one or more types of domain-specific input data to quantum-based input data. The computer executable components can further comprise a circuit generator component that, based on the quantum-based input data, can generate a quantum circuit. | 2019-12-12 |
20190378048 | TIME-FACTORED PERFORMANCE PREDICTION - Training query intents are allocated for multiple training entities into training time intervals in a time series based on a corresponding query intent time for each training query intent. Training performance results for the multiple training entities are allocated into the training time intervals in the time series based on a corresponding performance time of each training performance result. A machine learning model for a training milestone of the time series is trained based on the training query intents allocated to a training time interval prior to the training milestone and the training performance results allocated to a training time interval after the training milestone. Target performance for the target entity for an interval after a target milestone in the time series is predicted by inputting to the trained machine learning model target query intents allocated to the target entity in a target time interval before the target milestone. | 2019-12-12 |
20190378049 | ENSEMBLE OF MACHINE LEARNING ENGINES COUPLED TO A GRAPH STRUCTURE THAT SPREADS HEAT - Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems. | 2019-12-12 |
20190378050 | MACHINE LEARNING SYSTEM TO IDENTIFY AND OPTIMIZE FEATURES BASED ON HISTORICAL DATA, KNOWN PATTERNS, OR EMERGING PATTERNS - Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems. | 2019-12-12 |
20190378051 | MACHINE LEARNING SYSTEM COUPLED TO A GRAPH STRUCTURE DETECTING OUTLIER PATTERNS USING GRAPH SCANNING - Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems. | 2019-12-12 |
20190378052 | AUTOMATED VERSIONING AND EVALUATION OF MACHINE LEARNING WORKFLOWS - An application such as a machine learning workflow manager executes a machine learning workflow utilizing varying sets of parameters and tracks the utilized parameters and performance metrics for each execution. The manager generates a unique experiment identifier (ID) for each set of parameters used for executing a workflow and stores the experiment ID and the set of parameters along with results of the execution, e.g., performance metrics, output data, program code, etc. In some implementations, the manager can algorithmically generate sets of parameters for experiments of the workflow. Once experimentation for the workflow is complete, the manager utilizes the stored performance metrics to identify an experiment which exhibited the best performance and can retrieve the set of parameters, output data, or generated program code for deployment of the workflow using the associated experiment ID. | 2019-12-12 |
20190378053 | SYSTEM AND METHOD FOR VERIFIED COMPLIANCE IMPLEMENTATION - A compliance computer creates compliance documents referencing one or more rules with which an entity must comply and/or a jurisdiction and topic related to rules with which the company must comply. A transmission object is created based on the compliance documents. The transmission object includes general information pertinent to the rules and/or the entity (e.g., jurisdictional or topical information). An operator server receives one or more transmission objects from one or more compliance computers. The operator server identifies rules pertinent to each transmission object and conducts a search to determine whether any of those rules have been modified. The operator server sends a signal that is associated with the one or more compliance rules to the compliance computer. | 2019-12-12 |
20190378054 | Planning and Simulating Tourist Trips using Navigation and Location Tracking Data - An approach is provided to generate a trip itinerary. The approach receives a set of points of interest from a user with the user being one of a number of user that uses the system. The approach then retrieves user-defined factors from a user travel-based corpus that is accessible from a question-answering (QA) system with the user travel-based corpus corresponding to the requesting user. The QA system is utilized to analyze the user-defined factors in relation to each of the points of interest. In addition, constraints that pertain to each of the points of interest are identified by the QA system utilizing travel oriented data that has been ingested into the QA system. The approach then generates an itinerary based upon the analysis and the identified constraints. | 2019-12-12 |
20190378055 | SYSTEMS AND METHODS FOR DETERMINING ALLOCATION OF PERSONAL MOBILITY VEHICLES - The disclosed computer-implemented method may include determining the allocation of personal mobility vehicles. By monitoring personal mobility vehicles and determining, based on sensor data from the personal mobility vehicles, the current usage status of the personal mobility vehicles, a dynamic transportation matching system may improve the user experience of transportation requestors relinquishing custody of personal mobility vehicles. In addition, the dynamic transportation matching system may reduce transfer time between personal mobility vehicles and other modes of transportation and/or may improve the availability of personal mobility vehicles across a dynamic transportation network. Various other methods, systems, and computer-readable media are also disclosed. | 2019-12-12 |
20190378056 | ACCOMMODATION VEHICLE MANAGING DEVICE, ACCOMMODATION VEHICLE MANAGING SYSTEM, AND ACCOMMODATION VEHICLE - An accommodation vehicle management apparatus includes a transmitter/receiver configured to communicate with an accommodation vehicle where one or more guests may stay overnight; a processor comprising hardware, wherein the processor is configured to determine whether an actual number of guests in the accommodation vehicle is less than or equal to a predetermined number of guests who are allowed to utilize the accommodation vehicle by using bedding, and output an allowance signal indicating allowance of usage of the bedding to the accommodation vehicle through the transmitter/receiver when it is determined that the actual number of guests in the accommodation vehicle is less than or equal to the redetermined number of guests. | 2019-12-12 |
20190378057 | SOCIAL NETWORK-BASED TRAVEL SYSTEMS AND METHODS - A method, comprising: receiving, by a processor, one or more of past, present, future, and planned locations of travellers within a social network, together with associated temporal data; generating, by a or the processor, an interactive spatial visualisation of the locations of the travellers; generating, by a or the processor, an interactive temporal visualisation of the temporal data; and displaying the spatial and temporal visualisations on a user device; wherein the spatial and temporal visualisations are synchronised such that user interaction of the temporal visualisation via the user device is reflected in corresponding changes in the spatial visualisation displayed. | 2019-12-12 |
20190378058 | TRAVEL DISTRIBUTION SYSTEM - A travel distribution system can include searching for flights for airlines using new distribution capability (NDC) standards, global distribution system (GDS) network, or using Application program interface (API) or websites. Artificial intelligence can also be used to assist the search for best matching a customer's travel preference profile. | 2019-12-12 |
20190378059 | METHOD FOR EVALUATING MAPPING SOURCES TO DETERMINE THE MOST PROFITABLE AND EFFICIENT ROUTE FOR GIG-ECONOMY DRIVERS - A software application enabling gig-economy drivers to evaluate routes from mapping sources to determine the most profitable and efficient routes is provided. The computer-implemented method is adapted to determine the most profitable route, the software application reviews all routes returned by the mapping APIs and then prioritizes the longest available mile route within an acceptable time variance from the default route provided to the driver in the gig-economy service application. | 2019-12-12 |
20190378060 | Inferential Media Tagging Method and System - An inferential media tagging method and system automatically performs inferences from audio content that is associated with a media instance through the application of, for example, Bayesian-based algorithms or computer-implemented neural networks. Recommended objects are generated based, at least in part, on the inferences, and are delivered to users. The recommended objects may be further generated based upon inference tuning controls and inferences of preferences from usage behaviors and may be delivered in a temporal sequence. User behaviors associated with users interacting with the recommended objects are accessed and elements of the media instance are selected for delivery to users based on the user behaviors. | 2019-12-12 |
20190378061 | SYSTEM FOR MODELING THE PERFORMANCE OF FULFILMENT MACHINES - A computer implemented method and system of evaluating a fulfillment strategy in an omnichannel distribution system is provided. Input parameters are received from a computing device of a user. Historical data related to a network of nodes is received from a data repository. A synthetic demand status is determined based on the historical data and the input parameters. A synthetic network status based on the historical data and the input parameters are determined. A fulfillment strategy is identified based on the synthetic demand status and the synthetic network status. Key performance indicators (KPIs) for the fulfillment strategy are determined based on the synthetic demand status and the synthetic network status. | 2019-12-12 |
20190378062 | SIMULATION OF INFORMATION SEARCHING ACTION CHANGED WITH AN ANCHOR EVENT - An apparatus simulates checking action of checking, by an agent, a plurality of selection candidates in order for which expected values are set. Upon checking each of the plurality of selection candidates, the apparatus calculates an evaluated value of each selection candidate for the agent, and performs continuation judgment of determining whether the checking action is to be performed for a next one of the plurality of selection candidates, based on the expected values of unchecked selection candidates for which the checking action has not been performed yet and the evaluated values of checked selection candidates for which the checking action has been performed. Upon completion of checking a first selection candidate of the plurality of selection candidates, the apparatus modifies the expected values of the unchecked selection candidates, based on the evaluated value of the first selection candidate. | 2019-12-12 |
20190378063 | SIMULATION OF INFORMATION SEARCHING ACTION IN ACCORDANCE WITH USE EXPERIENCE OF A USER - An apparatus simulates an agent performing a checking action that sequentially checks a plurality of selection candidates for each of which an expected value is set. The apparatus calculates, for the agent, a biased expected value of each of the plurality of selection candidates, based on an experience score set for the agent and the expected value of each of the plurality of selection candidates. The apparatus simulates the check action of sequentially checking each of the plurality of selection candidates of the agent, by performing a continuation judgment of determining whether the checking action is to be performed for a next one of the plurality of selection candidates, based on an evaluated value set to a selection candidate that has been already checked and a biased expected value set to a selection candidate that is not checked yet. | 2019-12-12 |
20190378064 | CONSOLIDATED MANAGEMENT CONTROL APPARATUS, CONSOLIDATED MANAGEMENT CONTROL ASSISTANCE SYSTEM, CONSOLIDATED MANAGEMENT CONTROL ASSISTANCE METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM - A consolidated management control apparatus includes a business-related information acquirer, a storage, an inputter, a consolidated management control information generator, and an outputter. The business-related information acquirer acquires sales business-related information including, product-by-product, actual results information and plan information for each sales base within a business group, and production business-related information including, product-by-product, actual results information and plan information for each production base, and the storage stores the acquired information. The inputter receives designation of at least one of the sales bases and at least one of the production bases, and receives designation of at least one of products handled by both of designated bases. The consolidated management control information generator generates, based on the information stored in the storage, consolidated management control information including indicator data indicating consolidated financial status of both the bases for each designated product, and the outputter outputs the consolidated management control information. | 2019-12-12 |
20190378065 | System and Method for Instructing Personnel on Washroom Maintenance Requirements - A system and associated method are provided for maintenance of a plurality of washroom facilities by maintenance personnel, wherein each of the washroom facilities has one or more consumable product dispensers that require periodic refill. For each of the washroom facilities, the product dispensers are configured with a sensor that detects a product level or amount condition of the product dispenser, the sensors in communication with a monitoring station assigned to the washroom facility. A set of instructions unique to each of the washroom facilities is generated based upon the detected product level or amount conditions of the dispensers in the respective washroom facility, the set of instructions including instructions as to the amount of product refill to be added to the dispensers. With an identification (ID) system configured within each washroom facility, maintenance personnel that enter the washroom facility are identified and provided with the unique set of instructions in a message via a mobile smart device carried by the maintenance personnel or an audio or visual display device within the washroom facility. | 2019-12-12 |
20190378066 | MACHINE FOR LABOR OPTIMIZATION FOR EFFICIENT SHIPPING - A computer implemented method and system of calculating labor resources for a network of nodes in an omnichannel distribution system. Input parameters are received from a computing device of a user. Historical data related to a network of nodes is received, from a data repository. A synthetic scenario is determined based on the received input parameters and the historical data. For each node, key parameters are identified and set based on a multi-objective optimization, wherein the multi-objective optimization includes a synthetic inventory allocation to the node based on the synthetic scenario. A synthetic labor efficiency is determined for the node from the synthetic scenario. Labor resources are calculated based on the synthetic inventory allocation for the synthetic scenario. The labor resources of at least one node are displayed on a user interface of a user device. | 2019-12-12 |
20190378067 | REDUCING CYBERSECURITY RISK LEVEL OF A PORTFOLIO OF COMPANIES USING A CYBERSECURITY RISK MULTIPLIER - A multiplier is utilized to quantify a cybersecurity risk level of a portfolio of entities (e.g., companies) and enable actions to mitigate that quantified risk. In doing so, features or attributes of one or more companies in a portfolio are compared to features or attributes of one or more companies that experienced an adverse cybersecurity event (e.g. a data breach). Further, a degree of dependency, such as a matrix of a number of shared vendors and the proximity of those vendors to the companies, can be measured between (1) portfolio companies and one or more companies that experienced a cybersecurity event, and/or (2) the portfolio companies themselves to better quantify the risk. That is, to more meaningfully analyze a cybersecurity event that occurred at one or more companies and better predict the likelihood of an occurrence at portfolio companies, embodiments can determine an n-degree interdependency between companies. | 2019-12-12 |
20190378068 | ITEM HANDLING AND TRACKING SYSTEM AND METHOD THEREFOR - In an airport baggage handling system bag information, flight information and airport topology information are provided to a central processor which determines a path for the bag through the handling system. The bag is scanned at various points along the path and the scan time is compared with a predetermined arrival time for the bag at the scan point. A bag is marked at risk if it arrives at a scan point after the predetermined time and the system may suggest an alternative handling path for the bag if it is determined that the risk of the bag not making an outbound flight is too high. | 2019-12-12 |
20190378069 | MAXIMIZING RETENTION OF TRANSACTION RESULTS FOR BLOCKCHAIN BLOCK CREATION - An example operation may include one or more of receiving blockchain transactions, sorting an order of the blockchain transactions, simulating committance processing of the plurality of blockchain transactions to identify mining costs associated with each of the plurality of blockchain transactions, and applying one or more heuristic procedures to select one or more of the plurality of blockchain transactions which maximize a result associated with a next blockchain block. | 2019-12-12 |
20190378070 | FULFILMENT MACHINE FOR OPTIMIZING SHIPPING - A computer implemented method and system of setting values of parameters of nodes in an omnichannel distribution system, the method comprising is provided. Input parameters are received from a computing device. Historical data related to the network of nodes is received from a data repository. A synthetic scenario is determined based on the received input parameters and the historical data. Each node is clustered into a corresponding category. For each category of nodes, key parameters are identified. A range of each key parameter is determined based on the synthetic scenario. A number of simulations N to perform with data sampled from the synthetic scenario within the determined range of each key parameter is determined. For each of the N simulations, a multi-objective optimization is performed to determine a cost factor of the parameter settings. The parameter settings with a lowest cost factor are selected. | 2019-12-12 |
20190378071 | PRIORITIZED LIST OF WORK TASKS - A computing device includes a processor and a machine-readable storage medium storing instructions. The instructions are executable by the processor to: determine a first plurality of priority scores for a plurality of work tasks; determine a first prioritized list of work tasks based on the first plurality of priority scores; detect a plurality of user selections from the first prioritized list of work tasks; determine a second plurality of priority scores using a regression analysis of the plurality of user selections from the first prioritized list of work tasks; and determine a second prioritized list of work tasks based on the second plurality of priority scores. | 2019-12-12 |
20190378072 | SYSTEM AND METHOD FOR MODULAR CUSTOMIZATION OF INTERMEDIATE BUSINESS DOCUMENTATION GENERATION - Systems and methods capable of providing customized business processes, such as with regard to intermediate business transaction documents, within a standard business process flow system. The systems and methods may include a process interface for receiving the standard business process flow; a developmental graphical user interface capable of developing a plurality of object-oriented custom modules indicative of a plurality of custom business steps; a plurality of data libraries capable of storing at least configurations and rules applicable to the plurality of object-oriented custom modules; a run time graphical user interface capable of selecting multiple ones of the plurality of object-oriented custom modules for inclusion in a custom process stack; and a trigger sensor capable of receiving a trigger indicated by one of the configurations at the process interface, and capable of diverting the standard business process flow to process the custom process stack related to the trigger according to the configurations and rules upon receipt of the trigger. | 2019-12-12 |
20190378073 | Business-Aware Intelligent Incident and Change Management - Systems and methods for prioritizing and tracking incidents and changes that occur in an information technology infrastructure are provided. The systems and methods may automatically detect incidents and changes and determine associated risk and impact of the incident or change using machine learning to enhance the determination of severity of an incident or change based on a prior history of incidents and changes. | 2019-12-12 |
20190378074 | METHOD, APPARATUS, AND SYSTEM FOR DATA ANALYTICS MODEL SELECTION FOR REAL-TIME DATA VISUALIZATION - An approach is provided for marketing performance management. An analytics platform receives a business scenario associated with an entity. The analytics platform also determines a perturbation of raw data associated with the business scenario. The analytics platform further selects one or more algorithms to determine a predictive machine learning model to process the raw data based on the perturbation of the raw data. The analytics platform further processes the raw data using the machine learning model to generate business intelligence data associated with the business scenario, and generates a user interface to present at least a portion of the business intelligence data on a device | 2019-12-12 |
20190378075 | FORECASTING VOYAGE-LEVEL NET PROMOTOR SCORES - Embodiments of the invention provide a method, system and computer program product for voyage-level prediction of a net promoter score (NPS) data set for a collection of passengers scheduled for transport by a vehicle. The method includes classifying a past set of completed voyages according to a discrete set of classifications, each referring to a different characteristic of a corresponding one of the completed voyages, ingesting survey responses from passengers of the completed voyages and correlating the responses to an associated one of the different classifications, scheduling a new voyage for a specific vehicle, determining a set of classifications for the new voyage, extrapolating hypothetical survey responses for the new voyage based upon the determined set of classifications for the new voyage and displaying the hypothetical survey responses in a display of an onboard computing system of the specific vehicle. | 2019-12-12 |
20190378076 | Meeting Management - A computer implanted method of updating a user joining a group after a user-relevant topic has been discussed, the method includes, with a processor operatively-coupled to a memory: identifying the user joining group after a first topic has been discussed in the current session of the group; and determining interest of the user in the first topic, wherein if the first topic is determined to be of interest to the user, providing an automated summary of the first topic to the user. | 2019-12-12 |
20190378077 | ROBOT SERVICE PLATFORM - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to share information in a community of robots and users to perform tasks. In one aspect, a method includes registering a plurality of robots in a system including creating for each robot a robot profile; publishing the robot profile; collecting operational data related to performance of tasks, the operational data including situational awareness information from at least a first of the plurality of registered robots; evaluating the collected operational data including performing statistical analysis, modeling, and extrapolation using the collected operational data; and in response to a request to transfer relevant data to at least a second of the plurality of registered robots, determining relevant data from the evaluated collected operational data, the relevant data including at least a portion of the situational awareness information; and sending the relevant data to at least the second registered robot. | 2019-12-12 |
20190378078 | TASK DELEGATION SYSTEM - Disclosed is a method for assigning tasks to service providers. A task request with task parameters is received from a user-operated user device. A search is then performed for service provider profiles within a trust circle associated with the user. The trust circle contains service providers who have previously worked with the user and service providers who have been referred by vetted individuals or other service providers in the trust circle. The returned service provider profiles are then presented to the user device. | 2019-12-12 |
20190378079 | DETERMINING USER PRIORITIES BASED ON ELECTRONIC ACTIVITY - Methods and systems for automatically determining a priority of a user or a group of users based on electronic activity of the user or group of users. One system includes an electronic processor configured to determine a topic of each of a plurality of electronic communications associated with the user and determine a plurality of communication groups, wherein each communication group includes a subset of the plurality of electronic communications having a common topic. The electronic processor is also configured to rank the plurality of communication groups and perform at least one automatic action for at least one of the plurality of communication groups based on the plurality of communication groups as ranked. | 2019-12-12 |
20190378080 | SYSTEM AND METHOD OF FACILITATING DELIVERY OF GOODS TO A CUSTOMER - Methods and systems for facilitating delivery of goods from a retail location to a customer are disclosed. In one method, a request is received from a customer user which includes an order for goods to be delivered from a retail store. One or more delivery users within a predefined geographic area shared with a location of the customer user are identified. A delivery user agrees to pick up the customer's order and deliver the requested goods to the customer's home. Confirmation messages are automatically sent and received when the delivery user picks up the customer's order and again when the order is delivered to the customer. The delivery user can earn rewards or payments upon completion of successful delivery. | 2019-12-12 |
20190378081 | SYSTEM AND METHOD OF FACILITATING DELIVERY OF GOODS TO A CUSTOMER - Methods and systems for facilitating delivery of goods from a retail location to a customer are disclosed. In one method, a request is received from a customer user which includes an order for goods to be delivered from a retail store. One or more delivery users within a predefined geographic area shared with a location of the customer user are identified. A delivery user agrees to pick up the customer's order and deliver the requested goods to the customer's home. Confirmation messages are automatically sent and received when the delivery user picks up the customer's order and again when the order is delivered to the customer. The delivery user can earn rewards or payments upon completion of successful delivery. | 2019-12-12 |
20190378082 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - The present disclosure provides a technique for enabling delivery of baggage of another user by utilizing a vehicle on which one user rides and travels. An information processing apparatus according to the present disclosure performs matching between a first user and a second user in the case where baggage of the second user can be delivered to a delivery destination by a vehicle when the first user travels to a traveling destination on the basis of first user information which is information regarding traveling by the vehicle of the first user and second user information which is information regarding delivery of the baggage of the second user. | 2019-12-12 |
20190378083 | MANUFACTURE MANAGEMENT APPARATUS, MANUFACTURE MANAGEMENT METHOD, AND PROGRAM - A manufacture management apparatus includes: a planned stock quantity acquisition unit configured to acquire a planned stock quantity for an object to be manufactured in a given manufacturing process; an actual operation data acquisition unit configured to acquire an operation time of an actual operation, and an actual stock quantity when the operation is performed; and an operation time correction unit configured to calculate a corrected operation time by correcting the operation time based on the planned stock quantity and the actual stock quantity. | 2019-12-12 |
20190378084 | STORAGE SYSTEM COMPRISING A DETECTION ARRANGEMENT ASSIGNED TO THE STORAGE AREA - A storage system for monitoring logistics systems, comprises at least one storage area for stored goods and at least one detection arrangement that is assigned to the storage area for identifying the stored goods. The detection arrangement comprises at least one weight sensor and at least one further sensor for identifying the stored goods, wherein the weight sensor is linked to the further sensor and configured and arranged to trigger a recognition process by the further sensor in response to a change in the measured weight. | 2019-12-12 |
20190378085 | Autonomous merchandise delivery system - A method, system and apparatus for delivering a package from a first site to a second site includes predetermining a precise location at the second site to which the package is to be delivered; placing the package to be delivered into a vault equipped with an audible tamper alarm and a wireless communication system; placing the vault onto an autonomous driving vehicle (ADV); causing the ADV to drive the package to be delivered from the first site to the second site; delivering the vault to the precise location using a robotic movement device mounted to the ADV to transfer the vault from the ADV to the precise location; causing the ADV to depart the second site after transfer of the vault; and in response to reported acceptance of the package, causing an ADV to return to the second site to retrieve the vault. | 2019-12-12 |
20190378086 | PASSIVE CROWDSOURCED PACKAGE DELIVERY - The present disclosure provides various methods and systems for passive crowdsourced package delivery. A mobile human task performer uploads information to a server which enables access to his vehicle during a specified time at a first location, such as his home driveway. Using this information, a package courier drops-off a package in the vehicle of the mobile human task performer. Thereafter, during his normal commuting patterns, the mobile human task performer arrives at a second location, such as his place of work. Using the vehicle location and access information provided by the mobile human task performer, a second courier picks-up the package from the vehicle and delivers the package to its final destination. | 2019-12-12 |
20190378087 | Bundled Application for Load Management System - Load management systems and methods are described. A load management system comprises a database storing load information, a mobile application associated with a user account and executable on a mobile device. The mobile application includes a main application and independently executable sub-applications corresponding to workflow progresses in the distribution center. The mobile application when executed, accesses the sub-applications in response to a user logging in to the main mobile application. The sub-applications inherit credentials from the main application and communicate with each other in response to inheriting the credentials. | 2019-12-12 |
20190378088 | SYSTEM AND METHOD OF INDIVIDUALIZED MERCHANDISING IN AN AUTOMATIC RETAIL DEVICE - A system and method of stocking an automatic retail device including receiving seller identification information of a seller including financial institution information of the seller, receiving proposed product information of a product to be offered for sale by the seller, assigning a lease space in the automatic retail device for stocking of the product, determining whether the assigned leased space in the automatic retail device is available, acquiring product information of the product using the automatic retail device, and indicating a location of the leased space in the automatic retail device for stocking the product. The proposed information of the product may include a description of the product, a size of the product, or a weight of the product. The acquired product information may include an image of the product or a weight of the product. | 2019-12-12 |
20190378089 | UNDERUTILIZED ALLOTMENT FEE - Systems, apparatuses, and methods that generate supplemental air waybill that includes the underutilized allotment fee. An apparatus includes a processor. The processor is configured to execute the step of collecting allotment contract information, calculating an allotment total due amount using the allotment contract information, collecting active allotment information, calculating an active allotment due amount using the active allotment information, and calculating an underutilized allotment fee using the allotment total due amount and the active allotment due amount. | 2019-12-12 |
20190378090 | SYSTEM FOR SOCIAL VERSIONING - A system for generating of posts, the system including: a server; and a network connection for the server; the server to: maintain a database of users and corresponding user behavior when generating a post on a specific topic; match a first user generating a current post and a topic of the current post to user behavior in the database; based on the matching user behavior from the database, identify different versions during development of the current post; and dictate distribution of different versions of the post based on the matching user behavior from the database. | 2019-12-12 |
20190378091 | Evaluation Device, Evaluation Method, Evaluation Program, and Evaluation System - An evaluating method can be performed by a computer. The method includes acquiring two-dimensional data represented by a plurality of character types, converting the two-dimensional data to three-dimensional data by classifying the acquired two-dimensional data into a dimension of the plurality of character types, analyzing a feature of the three-dimensional data, and evaluating input data described in the plurality of character types based on the analyzed feature. | 2019-12-12 |
20190378092 | LIFELONG EMPLOYMENT RECORDS INCLUDING COMPETENCY DATA AND METHODS OF FORMING SAME - A method executed by a computer processor for verifying information between at least one of a plurality of employees and at least one of a plurality of organizations includes creating employee profile including the employee's name, creating an organization profile for at least one of the of the plurality of organizations, linking the employee profile with the organization profile and allowing the employee to request verification of one or more alleged facts by the organization, and allowing the organization to confirm or deny the one or more alleged facts. Information, such as competency data may be collected from unstructured data gathered by an employer and sent to the user profile. | 2019-12-12 |
20190378093 | Measuring Degree Of Match By Importance Of Need And Credibility Of Skills - A method and an opportunity matching system (OMS) for determining a degree of match between opportunity seeker profiles with opportunity seeker skills of varying credibility and opportunity descriptions with opportunity description skills of varying importance are provided. The OMS receives a first skill list including the opportunity seeker skills and a second skill list including the opportunity description skills from a skill list database and creates a unique skill list including unique opportunity seeker skills, a merged skill amount measure corresponding to each unique opportunity seeker skill, and a merged credibility measure indicating credibility of the merged skill amount measure by performing merging actions on first tuples in the first skill list. The OMS generates an opportunity match score by processing a skill match score generated for each opportunity description skill in a matched skill list created by matching the unique opportunity seeker skills with the opportunity description skills. | 2019-12-12 |
20190378094 | DATA ANALYTICS FRAMEWORK FOR IDENTIFYING A SAVINGS OPPORTUNITY FOR SELF-FUNDED HEALTHCARE PAYERS - The described invention connects entities providing healthcare benefits with healthcare service providers without the need for third-party advisers or brokers. This allows self-funding payers to tailor their selections of healthcare services via a direct interface by applying machine-learning and/or blockchain technology to healthcare data acquired in near real-time on patient treatment plans, health insights and patient choice, patient health, and financial insights and control. The described invention further allows the self-funding payer to perform data analytics on the acquired healthcare data to identify savings opportunity and generate a savings recipe for realizing the savings opportunity. | 2019-12-12 |
20190378095 | INFORMATION PROCESSING APPARATUS, WIRELESS COMMUNICATION TERMINAL, AND INFORMATION PROCESSING METHOD - When a meet-up schedule is set between users of a first and a second wireless communication terminals that are capable of communication by a first wireless communication scheme, an information processing apparatus notifies the second wireless communication terminal, through the communication network by the first wireless communication scheme, of identification information of the first wireless communication terminal in a second wireless communication scheme. The first wireless communication terminal operates as a transmitter of a first wireless signal according to the second wireless communication scheme, including the identification information of the first wireless communication terminal. The second wireless communication terminal operates as a receiver of a wireless signal according to the second wireless communication scheme, and detects presence of the first wireless communication terminal by receiving the first wireless signal according to the second wireless communication scheme, including the identification information of the first wireless communication terminal. | 2019-12-12 |
20190378096 | Method of Providing Stability to an Asset - In one aspect, the present invention comprises a method for providing stability of price to an asset. A preferred embodiment comprises: (a) a cryptocurrency; (b) an investment account; (c) a mode of redemption; (d) a computer network; (e) a company account; (f) a cryptocurrency exchange; (g) a processing application; (h) a method of destroying a cryptocurrency; (i) a method of funding an investment account; (j) a method of investing funds in an investment account. | 2019-12-12 |
20190378097 | SOCIAL MEDIA PLATFORM WITH RECOGNITION TOKENS - In one embodiment, a social media platform allows users to give and receive “recognition tokens” (or other exchanged units of recognition), in addition to mere appreciation indications (e.g., “likes”), such that a first user may only give a recognition token to a second user if the first user has a recognition token to give. Users may give recognition tokens to other users/entities in response to deeming particular activities (e.g., posts, etc.) worthy of receiving more than a mere appreciation indication (e.g., “liking” something) that is unlimited, but instead being worthy of being given a recognition token of which the user has a limited quantity. In addition to receiving recognition tokens from other users, users may also receive recognition tokens based on bonuses, gifts, exchanges, etc. In one illustrative non-limiting use-case embodiment, the social media platform may be based on awarding recognition tokens in response to good deeds, kind acts, etc. | 2019-12-12 |
20190378098 | SYSTEMS AND METHODS OF TRANSACTION ROUTING - A transaction router system and method that involves building a machine learning model using a Markov Decision Process (MDP), and then building a reinforcement learning solution to the model. The system and method accept transaction requests from a software application via an Application Programming Interface (API), via a mobile application, or via a web interface and allow a user to specify different criteria for processing the transaction including network speed, price, compliance, geography, and reliability and then determines a preferred payment network based on the historical transaction data for the transaction router. | 2019-12-12 |
20190378099 | COMMUNICATION DEVICE INTERFACE FOR MONETARY TRANSFERS THROUGH A DISPLAYABLE CONTACT LIST - There is provided systems and method for a communication device interface for monetary transfers through a displayable contact list. A user may import contacts from a contact list application, a social networking service, a user account with a payment provider, and/or another contact source into a communication device, such as a mobile phone. The mobile phone may then execute a monetary transfer module that allows the user to transmit requests for monetary transfers with the contacts. When the user selects a contact in a contact list, the module may retrieve payment account information and initiate a monetary transfer with the selected contact. The monetary transfer may correspond to receiving money or sending money to the contact. Additionally, the user may communicate messages with the request as well as a monetary amount. In order to facilitate completion of the monetary transfer, a payment provider may be utilized. | 2019-12-12 |
20190378100 | SYSTEM AND METHOD FOR TRANSFERRING FUNDS - A method including receiving a funds transfer request from a sender through a computer network to facilitate a transfer of funds to a recipient. The method also can include determining that the recipient is not a registered user of the computer-implemented funds transfer payment network. The method additionally can include automatically transmitting an invitation to the recipient to join the computer-implemented funds transfer payment network. The invitation can be directed to the recipient using the token for the recipient from the funds transfer request by sending the invitation to the recipient using the token. The method further can include receiving a response to the invitation from the recipient. The method additionally can include collecting identifying information that identifies the recipient. The method further can include creating a record for the recipient in a database of registered users contained in the computer-implemented funds transfer payment network. The method additionally can include providing an identifier of the recipient account to the sender financial institution to enable the sender financial institution to initiate the transfer of the funds from the sender account to the recipient account. Other embodiments are disclosed. | 2019-12-12 |
20190378101 | SYSTEM FOR PROVIDING APPLICATIONS ON AN AUTOMATED TELLER MACHINE (ATM) - Described is an Automated Teller Machine (ATM), and related systems (and methods), that allows for applications (or “Apps”) to be accessed on the ATM. The system allows for a third-party application to be verified and installed on ATMs to provide users with additional services. The application may access peripherals of the ATM via an Application Programming Interface (API) provided as part of a Software Development Kit (SDK). Accordingly, the system may provide a secure mechanism for ATM providers to provide users with the benefits of accessing third-party applications. Moreover, these applications may leverage specialized ATM peripherals and provide functionality that may not otherwise be available on other types of devices. | 2019-12-12 |
20190378102 | Systems and Methods for Use in Verifying Users to Service Providers - Systems and methods are provided for verifying a user, through an account associated with the user, in connection with a subscription of the user to a service from a service provider. One exemplary system includes a memory having an account for the user, and a platform computing device coupled to and/or including the memory. The computing device is configured to receive a request from the service provider, in connection with the user subscribing to the service, and authenticate the user. When the user is authenticated, the computing device is configured to generate a subscription message for the user comprising assurance data based on the user's account, a timestamp, and an identifier associated with the user, and transmit the subscription message to the service provider, to thereby permit the service provider to rely on the assurance data to verify the user. | 2019-12-12 |
20190378103 | SYSTEM AND METHOD FOR FACILITATING AND PROCESSING CONSUMER TRANSACTIONS - A system for managing and processing a consumer transaction is provided, comprising a product delivery system adapted to provide a product to a consumer; a point of sale (POS) system in communication with the product delivery system; and a consumer interface screen in communication with the POS system, wherein the consumer interface screen is adapted to display information to the consumer about a proposed transaction, prompt the consumer to engage in the proposed transaction, and receive input from the consumer required to complete the proposed transaction. The system further comprises a consumer recognition system having sensors capable of recognizing consumer attributes related to the consumer; and a media distribution unit in communication with the consumer recognition system to deliver information about the proposed transaction to the consumer interface screen based on recognition of the consumer attributes. | 2019-12-12 |
20190378104 | CANTILEVERED WEIGHT SENSITIVE SHELF, RAIL, AND MOUNTING SYSTEM - A rack assembly for use with an automatic retail device. The rack assembly includes a rack body comprising and a load bar configured to mount to the rack body. The rack body includes a fastening element configured to mount the rack body to a portion of the automatic retail device and a main shelf controller disposed within the rack body and in communication with a microcontroller of the automatic retail device. The load bar includes a weight sensor configured to sense a weight of products positioned on the load bar and a circuit board. The circuit board is disposed on the load bar and in electrical communication with the weight sensor and the main shelf controller. The circuit board transmits a signal corresponding to the weight sensed by the weight sensor to the microcontroller via the main shelf controller. | 2019-12-12 |