Class / Patent application number | Description | Number of patent applications / Date published |
706010000 | PLURAL PROCESSING SYSTEMS | 47 |
20080228675 | MULTI-TIERED CASCADING CRAWLING SYSTEM - Provided is a multi-tiered cascading crawling system for finding on a network information related to one or more predetermined topics or subtopics of interest. In general, embodiments of the present invention provide a system that operates in multiple “tiers,” where at least some of the output of one tier is used to comprise the input of the next tier. Each tier generally analyzes collections of documents on the network using successively more restrictive criteria about the subject matter of each collection and/or about which collections may be related to the one or more topics or subtopics. In general, only the final tier performs an exhaustive crawl of all of the documents of the collections that are identified by the system as being relevant to the topic or subtopic of interest. | 09-18-2008 |
20080243727 | DISTRIBUTED COLLABORATIVE KNOWLEDGE GENERATION SYSTEM - System and method related to a distributed collaborative knowledge generation system are disclosed. The distributed collaborative knowledge generation system includes one or more databases configured to store content information related to the distributed collaborative knowledge generation system, a search services module configured to search for the content information, a web services module configured to retrieve and gather the content information, a presentation services module configured to share the content data with multiple users, and a data services module configured to manage the content information by providing interfaces between the one or more databases, the search services module, the web services module, and the presentation services module. | 10-02-2008 |
20090063370 | Composition of Web Services Using Representations - A system for composing Web services may include a goal determiner unit and a composer unit. The goal determiner unit may be configured to access a primary goal of final states of Web service representations. The composer unit may be configured to compute a set of transitions from initial states of the Web service representations to the primary goal, compute intermediate states of one or more Web service representations, and generate a copy rule of the set of transitions, the copy rule having a condition part that specifies the intermediate states and a portion of the final states of the primary goal and an activity part that includes assignments of input variables consumed by transitions from the intermediate states. | 03-05-2009 |
20090063371 | RECONFIGURABLE SPAM DETECTION SYSTEM BASED ON GLOBAL INTELLIGENCE - Systems are provided for delaying e-mail classification until global intelligence has an opportunity to be gathered. According to one embodiment, a spam detection system includes a global intelligence network and a network device. The global intelligence network contains global intelligence servers coupled to a public network and configured to (i) gather intelligence from distributed anti-spam engines, (ii) maintain and update e-mail message signatures and associated reputation information and (iii) readjust spam detection characteristics of the distributed anti-spam engines. The network device includes an anti-spam engine, which is configured to (i) perform reputation analysis and content analysis on observed e-mail messages and (ii) provide the global intelligence network with an opportunity to gather further information to make the content analysis more accurate by queuing e-mail messages for which a satisfactory spam or clean categorization cannot be made in real-time for subsequent reapplication of the reputation analysis or the content analysis. | 03-05-2009 |
20090125459 | METHOD AND SYSTEM FOR RULE-BASED CONTENT FILTERING - A system and method for content-filtering of data containers in a network supporting versatile communications services are disclosed. The content-filtering system is integrated with a content-adaptation system. Several server units handle data containers formulated at source according to different protocols. A content filtering process relies on characterizing each component of a container to produce a set of content descriptors and producing a set of binary conditions for each component according to a preset criterion for each descriptor. A set of rules is devised where each rule applies a respective Boolean expression to a subset of the conditions to prescribe a respective content-editing action. Methods of specifying and evaluating a rule's Boolean expression are disclosed. A formal graph is used to define inter-dependence of rules. | 05-14-2009 |
20090210360 | COMPUTING THE VALUES OF CONFIGURATION PARAMETERS FOR OPTIMAL PERFORMANCE OF ASSOCIATED APPLICATIONS - Computing the values of configuration parameters for optimal performance of associated applications. In one embodiment, a rules data is maintained indicating a corresponding rule for each of the configuration parameters of an application sought to be optimized. Each rule specifies the manner of calculation of the corresponding configuration parameter based on a corresponding set of production metrics. On receiving an indication that the value of a specific configuration parameter is to be computed, the rules data is examined and a specific rule (indicating a set of production metrics) corresponding to the specific configuration parameter is identified. The corresponding values of each of the set of production metrics are then determined and the value for the specific configuration parameter is calculated using the identified rule and the estimated values of the set of production metrics. | 08-20-2009 |
20090210361 | MULTI-PLATFORM CONTROL SYSTEM FOR CONTROLLING MACHINES - Provided is a multi-platform control system, comprising a machine with a first artificial-intelligence module, a terminal machine with a second artificial-intelligence module, a first server with a third artificial-intelligence module, and a second server with a fourth artificial-intelligence module; wherein the first server is connected between the second server and the machine, and between the second server and the terminal machine; the second artificial-intelligence module analyzes data from a user and transfers the analyzed data to the first server; the third artificial-intelligence module determines whether the data can be processed, transfers the data to the first server if the data cannot be processed; the first artificial-intelligence module drives the machine to operate according to the instruction from the third artificial-intelligence module; and the fourth artificial-intelligence module processes the data from the third artificial-intelligence module and transfers the processed data to the first server. | 08-20-2009 |
20090222386 | Alpha node hashing in a rule engine - Some embodiments of alpha node hashing in an exemplary rule engine have been presented. In one embodiment, constraints are added into a constraint set in response to requests from one or more users of a rule engine. The rule engine then determines which constraints within the constraint set are mutually exclusive. Furthermore, the rule engine dynamically enables hashing of facts asserted into a working memory of the rule engine in response to a current number of the mutually exclusive constraints. | 09-03-2009 |
20090248593 | Combining speculative physics modeling with goal-based artificial intelligence - In one embodiment, the present invention includes a method for identifying a deformable object of a scene of a computer game that is visible by an artificial intelligence (AI) character of the game, requesting a speculative physics simulation associated with the deformable object to determine a result of an action to the deformable object by the Al character, and selecting an action to be performed by the AI character, where the selection is based at least in part on the speculative physics simulation. Other embodiments are described and claimed. | 10-01-2009 |
20090287617 | CLIENT-SIDE RULE ENGINE FOR EXECUTING BUSINESS RULES IN RICH INTERNET APPLICATIONS - A client-side business rule engine for executing business rules, at a client, in a rich internet application is disclosed. A set of business rules and a fact base are compiled at a server in accordance with a platform definition model, such that the compiled rules and facts are formatted to conform for use with a business rule engine based on the platform specified in the platform definition model. The business rule engine, embodied in a code module, is served to a requesting web browser application along with a subset of the compiled business rules and facts. At the client, the business rule engine evaluates conditions expressed in the business rules in light of facts received from the server, and facts derived at the client. | 11-19-2009 |
20090287618 | DISTRIBUTED PERSONAL SPAM FILTERING - Embodiments are directed towards using a community of weighted results from local and global message classifiers to determine whether a message is spam. Each local classifier may receive a message that is to be evaluated to determine whether it is spam. A local classifier receives the message and performs a classification of the message. The local classifier may receive predictions of whether the message is spam from at least one global classifier. The local and global predictions are combined using, in one embodiment, a regression analysis to generate a single local message classification. Combining the local and global predictions is directed towards enabling a community of predictions to be used to classify messages. The user may then re-classify this output, which in turn is used as feedback to modify weights to the local and received global predictions for a next message. | 11-19-2009 |
20100063946 | Method of performing parallel search optimization - The method of performing parallel search optimization includes the steps of: providing a master computer and N slave computers; randomly generating L possible solutions to a computerized process on the master computer; transmitting L/N possible solutions to each slave computer; and simulating the computerized process on each of the slave computers for each respective set of L/N possible solutions. The results of each simulation are transmitted to the master computer, and a set of solutions within a threshold are selected. The master computer determines if a single solution is an optimal solution to the process, and if a single optimal solution is found, the single optimal solution is utilized by the master computer as an input to the process, but if a single optimal solution is not found, the selected set of solutions is divided and transmitted to the slave computers to repeat the method from the step of simulation. | 03-11-2010 |
20100145890 | SYSTEMS AND METHODS FOR MANAGING INTERACTIONS BETWEEN AN INDIVIDUAL AND AN ENTITY - A system that incorporates teachings of the present disclosure may include, for example, a synthesis engine having a controller, and a storage medium for storing instructions to be executed by the controller. The instructions, when executed by the controller, can cause the controller to retrieve collected information associated with a behavior of an individual, synthesize from the information a measure of a mood of the individual to interact with others, and transmit the measure to a system associated with the individual to manage requests between the individual and the entity. The measure of the mood of the individual can indicate an availability of the individual and a receptiveness of the individual to accept a request to interact with an entity. The measure can be described by a plurality of dimensions. Other embodiments are disclosed. | 06-10-2010 |
20100185566 | Apparatus and method for problem solving using intelligent agents - The present invention relates to a system and method for problem solving using intelligent agents. The intelligent agents may be embodied as processor-readable software code stored on a processor-readable medium. The intelligent agents may include a brain agent to parse the input and direct the parsed input query to other intelligent agents within the system. The apparatus and method may use, for example, a personality agent, a language agent, a knowledge agent, a mood agent, a visual agent, sound agent, a tactile agent, and a smell/taste agent and various connectors to external data sources or other intelligent systems to interpret questions and provide responses back to the user. The apparatus and method may further parse questions in a conceptual manner. The apparatus and method may further optimize its system performance by evolving with and reacting to specific user interactions. Thus, the present invention may be configured to receive a human question and to output a human answer. | 07-22-2010 |
20100223210 | Movement of an Agent that Utilizes As-Needed Canonical Rules - Various embodiments enable an agent that utilizes a first, as-needed canonical rule set in a first execution environment to be moved to a second execution environment where the agent utilizes a second, as-needed canonical rule set. | 09-02-2010 |
20100268671 | PROTECTING MILITARY PERIMETERS FROM APPROACHING HUMAN AND VEHICLE USING BIOLOGICALLY REALISTIC NEURAL NETWORK - An approaching human threat or vehicle, such as a suicide bomber nearing a secured zone such as a military base, may be detected and classified. A vibration recognition system may detect a systematic vibration event. The entity might be a medium, human, animal, or a passenger vehicle. The system may discriminate between such an event and a background or other vibration event, such as a falling tree limb. A seismic sensor may be employed to detect vibrations generated by footsteps and a vehicle. Seismic waves may be processed locally where the sensor is located. The system may wirelessly communicate with a remote command center. Temporal features of the vibration signals may be modeled by a Dynamic Synapse Neural Network (DSNN) with good false recognition rates. The models may reject quadrupedal animal footsteps. | 10-21-2010 |
20100274742 | DISTRIBUTED EVOLUTIONARY ALGORITHM FOR ASSET MANAGEMENT AND TRADING - A server computer and a multitude of client computers form a network computing system that is scalable and adapted to continue to evaluate the performance characteristics of a number of genes generated using a software application running on the client computers. Each client computer continues to periodically receive data associated with the genes stored in its memory. Using this data, the client computers evaluate the performance characteristic of their genes by comparing a solution provided by the gene with the periodically received data associated with that gene. Accordingly, the performance characteristic of each gene may be updated and varied with each periodically received data. The performance characteristic of a gene defines its fitness. The genes may be virtual asset traders that recommend trading options, and the data associated with the genes may be historical trading data. | 10-28-2010 |
20110071962 | Method and system of using network graph properties to predict vertex behavior - Network graphs are determined using data about the vertices. Vertices are clustered into community of vertices based on maximizing the density of linkages within each community. Vertex properties describing the extent to which each vertex's community has exhibited a particular behavior are determined. Vertex properties describing whether the most important vertex in each community has exhibited a particular behavior are determined. Functions describing the relationship between these two categories of vertex properties and other relevant vertex properties, and a particular behavior are determined. These functions are used to predict the likelihood of each vertex exhibiting the particular behavior. | 03-24-2011 |
20110167024 | Embedded health monitoring system based upon Optimized Neuro Genetic Fast Estimator (ONGFE) - A real time kernel for deploying health monitoring functions in Condition Base Maintenance (CBM) and Real Time Monitoring (RTM) systems is disclosed in this invention. The Optimized Neuro Genetic Fast Estimator (ONGFE) allows embedding failure detection, identification, and prognostics (FDI&P) capability by using Intelligent Software Element (ISE) based upon Artificial Neural Network (ANN). ONGFE enables embedded fast and on-line training for designing ANNs, which perform very high performance FDI&P functions. An advantage is the optimization block based on pseudogenetic algorithms, which compensate for effects due to initial weight values and local minimums without the computational burden of genetic algorithms. It provides a synchronization block for communication with secondary diagnostic modules. Also a scheme for conducting sensor data validation is embedded in Smart Sensors (SS). The algorithms are designed for a distributed, scalar, and modular deployment. The system electronics is built upon a network of smart sensors and a health monitoring computer for providing data acquisition capability and distributed computational power. | 07-07-2011 |
20110191270 | INTELLIGENT DECISION SUPPORTING SYSTEM AND METHOD FOR MAKING INTELLIGENT DECISION - An intelligent decision supporting system and a method for making an intelligent decision are provided. The intelligent decision supporting system includes a multi-dimensional classifier comprising a plurality of classifiers that define different semantic standards and are trained based on the different semantic standards, for classifying a text by the semantic standards and for outputting a plurality of attributes of the text and a confidence rate of each of the plurality of attributes, a question submitting module for receiving the output of the multi-dimensional classifier, for forming a question based on the plurality of attributes of the text and the confidence rate of each attribute, and for submitting the question to an inference machine, the inference machine for receiving the question submitted by the question submitting module, for inquiring of a domain ontology knowledge library based on the question, and for providing an answer for the question to an decision reply module, a domain ontology knowledge library module for storing a domain ontology knowledge library related to an application domain of the intelligent decision supporting system, wherein the domain ontology knowledge library records description of rules for deriving decisions corresponding to the semantic standards of the multi-dimensional classifier, and the decision reply module for providing the answer for the question provided by the inference machine to the user. | 08-04-2011 |
20110208676 | CONFIGURABLE CIRCUITRY FOR SOLVING STOCHASTIC PROBLEMS - Techniques described herein may be used to solve a stochastic problem by dividing the stochastic problem into multiple fragments. In some cases, each fragment may be related to a random variable that forms a part of the problem, such that each fragment may produce samples from a probability distribution for that variable. Each fragment of the stochastic problem may then be assigned to a configurable circuit to solve the stochastic fragment. Configurable circuits may be implemented using any suitable combination of hardware and/or software, including using stochastic circuitry. In some embodiments, stochastic circuitry may include a stochastic tile and/or a stochastic memory. | 08-25-2011 |
20110218944 | Distributed-Type Markov Chain Monte Carlo - Implementations and techniques for distributed-type Markov chain Monte Carlo are generally disclosed. | 09-08-2011 |
20110264608 | Security System For and Method of Detecting and Responding to Cyber Attacks on Large Network Systems - An improved security system for and method of detecting and responding to cyber attacks on a network or network element. The system comprises: (a) an intelligent agent-based information retrieval subsystem configured so as to automatically search for and retrieve relevant data from distributed sources; (b) a rule-based inferencing mechanism configured so as to interpret retrieved data within the situational context to support event and alert generation for cyber threat assessment and prediction; and (c) a threat assessment and prediction mechanism configured so as to capture relating to the interrelationship between cyber sensor outputs and cyber attacks. | 10-27-2011 |
20120016816 | DISTRIBUTED COMPUTING SYSTEM FOR PARALLEL MACHINE LEARNING - A controller of a distributed computing system assigns feature vectors, and assigns data processors and a model updater to first computers. The data processors have charge of iteration calculation of machine learning algorithms, acquire the feature vectors over a network when starting learning, and store the feature vectors in a local storage. In iteration of second and subsequent learning processes, the data processors load the feature vectors from the local storage, and conduct the learning process. The feature vectors are retained in the local storage till completion of learning. The data processors send only the learning results to the model updater, and waits for a next input from the model updater. The model updater conducts the initialization, integration, and convergence check of the model parameters, completes the processing if the model parameters are converged, and transmits new model parameters to the data processor if the model parameters are not converged. | 01-19-2012 |
20120030148 | Combining Speculative Physics Modeling With Goal-Based Artificial Intelligence - In one embodiment, the present invention includes a method for identifying a deformable object of a scene of a computer game that is visible by an artificial intelligence (AI) character of the game, requesting a speculative physics simulation associated with the deformable object to determine a result of an action to the deformable object by the AI character, and selecting an action to be performed by the AI character, where the selection is based at least in part on the speculative physics simulation. Other embodiments are described and claimed. | 02-02-2012 |
20120041901 | System and Method for Knowledge Pattern Search from Networked Agents - One or more systems and methods for knowledge pattern search from networked agents are disclosed in various embodiments of the invention. A system and a related method can utilizes a knowledge pattern discovery process, which involves analyzing historical data, contextualizing, conceptualizing, clustering, and modeling of data to pattern and discover information of interest. This process may involve constructing a pattern-identifying model using a computer system by applying a context-concept-cluster (CCC) data analysis method, and visualizing that information using a computer system interface. In one embodiment of the invention, once the pattern-identifying model is constructed, the real-time data can be gathered using multiple learning agent devices, and then analyzed by the pattern-identifying model to identify various patterns for gains analysis and derivation of an anomalousness score. This system can be useful for knowledge discovery applications in various industries, including business, competitive intelligence, and academic research. | 02-16-2012 |
20120109857 | Trainable hierarchical memory system and method - Memory networks and methods are provided. Machine intelligence is achieved by a plurality of linked processor units in which child modules receive input data. The input data are processed to identify patterns and/or sequences. Data regarding the observed patterns and/or sequences are passed to a patent module which may receive as inputs data from one or more child modules. the parent module examines its input data for patterns and/or sequences and then provides feedback to the child module or modules regarding the parent-level patterns that correlate with the child-level patterns. These systems and methods are extensible to large networks of interconnected processor modules. | 05-03-2012 |
20120136811 | LEFT AND RIGHT UNLINKING FOR A SHARED KNOWLEDGE BASE - Some embodiments of implementing left and right unlinking for a shared knowledge base in an exemplary rule engine have been presented. A rule engine can create a network to evaluate a set of rules in a knowledge base. The network includes at least one multiple-input node, such as a beta node having two inputs. The rule engine may process data in multiple sessions simultaneously using the network. The rule engine may further logically unlink a first node in the network from a second node in the network for a first session while keeping the first node linked to the second node for a second session. | 05-31-2012 |
20120158615 | ARTIFICIAL INTELLIGENCE SYSTEM - An artificial intelligence system and method for interpreting input from a user and generating a response to the user. The input is converted into an array of concepts which are compared to a database of interrelated concepts. A response is generated based on the concepts in the database and their relationship to the concepts in the input array. The system and method may be implemented in a number of electronic or computer devices to interact with humans or computer systems. | 06-21-2012 |
20120166364 | Hierarchical Temporal Memory (HTM) System Deployed as Web Service - A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server. | 06-28-2012 |
20120197822 | SYSTEM AND METHOD FOR USING CLUSTER LEVEL QUORUM TO PREVENT SPLIT BRAIN SCENARIO IN A DATA GRID CLUSTER - A system and method is described for use with a data grid cluster, which uses cluster quorum to prevent split brain scenario. The data grid cluster includes a plurality of cluster nodes, each of which runs a cluster service. Each cluster service collects and maintains statistics regarding communication flow between its cluster node and the other cluster nodes in the data grid cluster. The statistics are used to determine a status associated with other cluster nodes in the data grid cluster whenever a disconnect event happens. The data grid cluster is associated with a quorum policy, which is defined in a cache configuration file, and which specifies a time period that a cluster node will wait before making a decision on whether or not to evict one or more cluster nodes from the data grid cluster. | 08-02-2012 |
20120197823 | METHODS, ARCHITECTURE, AND APPARATUS FOR IMPLEMENTING MACHINE INTELLIGENCE AND HIERARCHICAL MEMORY SYSTEMS - Sophisticated memory systems and intelligent machines may be constructed by creating an active memory system with a hierarchical architecture. Specifically, a system may comprise a plurality of individual cortical processing units arranged into a hierarchical structure. Each individual cortical processing unit receives a sequence of patterns as input. Each cortical processing unit processes the received input sequence of patterns using a memory containing previously encountered sequences with structure and outputs another pattern. As several input sequences are processed by a cortical processing unit, it will therefore generate a sequence of patterns on its output. The sequence of patterns on its output may be passed as an input to one or more cortical processing units in next higher layer of the hierarchy. A lowest layer of cortical processing units may receive sensory input from the outside world. The sensory input also comprises a sequence of patterns. | 08-02-2012 |
20120203716 | ROBUST PATTERN RECOGNITION SYSTEM AND METHOD USING SOCRATIC AGENTS - A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module. | 08-09-2012 |
20120290508 | System and Method for Personalized Media Rating and Related Emotional Profile Analytics - A system and a method for generating an emotional profile of the user and deriving inference from the analytics of generated emotional profile is provided. The method involves sharing media content or online event in a connected environment; capturing user's reaction to the said content or event; generating an emotional score of the user to rate the media content or event; and sharing the emotional score within the connected environment. | 11-15-2012 |
20120330864 | FAST PERSONALIZED PAGE RANK ON MAP REDUCE - A personalized page rank computation system is described herein that provides a fast MapReduce method for Monte Carlo approximation of personalized PageRank vectors of all the nodes in a graph. The method presented is both faster and less computationally intensive than existing methods, allowing a broader scope of problems to be solved by existing computing hardware. The system adopts the Monte Carlo approach and provides a method to compute single random walks of a given length for all nodes in a graph that it is superior in terms of the number of map-reduce iterations among a broad class of methods. The resulting solution reduces the I/O cost and outperforms the state-of-the-art FPPR approximation methods, in terms of efficiency and approximation error. Thus, the system can very efficiently perform single random walks of a given length starting at each node in the graph and can very efficiently approximate all the personalized PageRank vectors. | 12-27-2012 |
20130073484 | ELEMENTARY NETWORK DESCRIPTION FOR EFFICIENT MEMORY MANAGEMENT IN NEUROMORPHIC SYSTEMS - A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to simulate such a model efficiently. The architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity. Methods for managing memory in a processing system are described whereby memory can be allocated among a plurality of elements and rules configured for each element such that the parallel execution of the spiking networks is most optimal. | 03-21-2013 |
20130218812 | SYSTEM AND METHOD FOR DETECTING MEDICAL ANOMALIES USING A MOBILE COMMUNICATION DEVICE - A computer-implemented method is provided including receiving sensor data from a mobile device corresponding to a first user. A user state of the first user is predicted based on the sensor data. A request is transmitted to the first user to confirm the predicted user state, and a notification is transmitted regarding the predicted user state to a second user responsive to the first user's confirmation of the predicted user state or the first user's failure to respond to the request. A computing system for monitoring and reporting activity of a mobile device is also provided. | 08-22-2013 |
20130246315 | SYSTEMS AND METHODS FOR SEMANTIC INFERENCE AND REASONING - A method and system for analyzing a corpus of data artifacts is disclosed. The method comprises obtaining, by a computer, a semantic representation of the data artifacts, where the semantic representation indicates (1) entities identified in the data artifacts, and (2) semantic relationships among the entities as indicated by the data artifacts. The method further comprises clustering the data artifacts into clusters of semantically related data artifacts based on the semantic representation and inferring additional semantic relationships between pairs of the entities. The inferring comprises applying, on a cluster-by-cluster basis, a multi-tiered network of inference engines to a portion of the semantic representation corresponding to the cluster, where the multi-tiered network of inference engines includes a domain-independent inference tier and a domain-specific inference tier. | 09-19-2013 |
20140006316 | DISTRIBUTED NETWORK FOR PERFORMING COMPLEX ALGORITHMS | 01-02-2014 |
20140019385 | GENERATING A DOCUMENT REPRESENTATION USING SEMANTIC NETWORKS - A method, system and computer program product for developing a semantic network are disclosed. The system includes a server and a client computer, and the method involves: creating a semantic network containing at least one root concept; performing a set of instructions associated with the semantic network, the set of instructions comprising: transmitting information about the semantic network from the client computer to a server; providing information about at least one resource to the server, the at least one resource containing concepts and relations associated with the at least one root concept; receiving information about a modified semantic network from the server; presenting the information about the modified semantic network to a user; receiving a response from the user; based on the response, further modifying the semantic network. The system interactively modifies semantic networks in response to user feedback, and produces personal semantic networks and document use histories. | 01-16-2014 |
20140046875 | BDD Variable Reordering Using Multiple Computing Devices - In one embodiment, a first computing device selects k first variable orders for a Binary Decision Diagram (BDD) representing a function having n variables, where n≧4 and k≧2. The first computing device distributes the k first variable orders among a plurality of second computing devices. For each of the k first variable orders distributed to one of the second computing devices, the first computing device receives, from the one second computing device, a local best variable order among the first variable order and one or more second variable orders derived from the first variable order. The first computing device determines a global best variable order for the BDD among all local best variable orders received from the second computing devices. | 02-13-2014 |
20140279716 | SYSTEMS AND METHODS FOR CLASSIFYING ELECTRONIC INFORMATION USING ADVANCED ACTIVE LEARNING TECHNIQUES - Systems and methods for classifying electronic information or documents into a number of classes and subclasses are provided through an active learning algorithm. In certain embodiments, seed sets may be eliminated by merging relevance feedback and machine learning phases. In certain embodiments, the active learning algorithm forks a number of classification paths corresponding to predicted user coding decisions for a selected document. The active learning algorithm determines an order in which the documents of the collection may be processed and scored by the forked classification paths. Such document classification systems are easily scalable for large document collections, require less manpower and can be employed on a single computer, thus requiring fewer resources. Furthermore, the classification systems and methods described can be used for any pattern recognition or classification effort in a wide variety of fields. | 09-18-2014 |
20140279717 | NETWORK OF INTELLIGENT MACHINES - A network of apparatuses that characterizes items is presented. A self-updating apparatus includes a processing unit that has a memory storing parameters that are useful for characterizing different items, and a processing module configured to automatically select sources from which to receive data, modify the parameters based on the data that is received, and to select recipients of modified parameters. Selection of sources and recipients is based on comparison of parameters between the processing module and the sources, and between the processing module and the recipients, respectively. The processing unit may include an artificial intelligence program (e.g., a neural network such as a machine learning program). When used in a network, the processing units may “train” other processing units in the network such that the characterization accuracy and range of each processing unit improves over time. | 09-18-2014 |
20160004958 | Digital quaternary fractal computer for applications of artificial intelligence - A digital quaternary fractal computer unit, system and method for applications of artificial intelligence. The digital quaternary fractal computer comprises optical, nano-scale and quantum embodiments. The system of computation is unique to the device and employs relativistic, quaternary and fractal mechanisms to perform computation. The full theory of relative quaternary fractal computation and encoding is documented in the various references herein. | 01-07-2016 |
20160042294 | QUANTUM PROCESSOR BASED SYSTEMS AND METHODS THAT MINIMIZE AN OBJECTIVE FUNCTION - Quantum processor based techniques minimize an objective function for example by operating the quantum processor as a sample generator providing low-energy samples from a probability distribution with high probability. The probability distribution is shaped to assign relative probabilities to samples based on their corresponding objective function values until the samples converge on a minimum for the objective function. Problems having a number of variables and/or a connectivity between variables that does not match that of the quantum processor may be solved. Interaction with the quantum processor may be via a digital computer. The digital computer stores a hierarchical stack of software modules to facilitate interacting with the quantum processor via various levels of programming environment, from a machine language level up to an end-use applications level. | 02-11-2016 |
20190147351 | METHOD AND SYSTEM FOR AUTOMATICALLY BUILDING INTELLIGENT ASSISTANT | 05-16-2019 |
20220137257 | SYSTEMS AND METHODS TO ANALYZE A FORMATION - Systems and methods to assess formation data are disclosed. The method includes partitioning a formation containing a plurality of rock types into a plurality of sections. For a section of the plurality of sections, the method also includes determining, for each rock type of the plurality of rock types, a probability that the rock type is present in the section. The method further includes assigning a value to the section of the plurality of sections based on a probability that the section contains one or more rock types of the plurality of rock types. The method further includes analyzing the formation based on the value associated with the section. | 05-05-2022 |