3899results about "Knowledge based models" patented technology

A system for the operation of a virtual assistant network, comprising a plurality of virtual assistants stored and operating on network-connected devices, and a plurality of virtual assistant brokers stored and operating on network-connected devices, wherein the virtual assistants receive user requests and send the requests to the virtual assistant brokers, and wherein the virtual assistant brokers delegate the requests to other virtual assistants for fulfillment.

A system and method for visualization of the components of an enterprise system and the rendering of information about the health or status of the enterprise system, its components, and / or its subcomponents. The invention uses a combination of color codes or other indicators and a combination of algorithms and / or rules-based systems to control the computation of status / severities to associate to components and setup the color codes and indicators.

A method of managing documents related to a patent application. In one embodiment the method includes generating an invention disclosure from a first client system coupled to a server system over a first communication network, where the first client system is associated with a first technology developer; storing the generated invention disclosure in a database accessible to the server system; drafting a patent application for the invention disclosure from a second client system coupled to the server system over a second communication network, where the second client system is associated with a patent practitioner; storing the drafted patent application in the database; generating an instruction to file the patent application from a client system associated with either the technology developer or the patent practitioner; and receiving the instruction at the server system and causing the patent application to be filed in a patent office.

Methods of and apparatus for simulating and projecting future sales, inventory and gross margin are described. Some methods provide bottom-up item-by-item, per location simulation of unit inventory and unit sales. Notional deliveries and other features of simulations and projections are reflected in the detailed description, accompanying figures and claims.

A method for processing a natural language input provided by a user includes: providing a natural language query input to the user; performing, based on the input, a search of one or more language-based databases; providing, through a user interface, a result of the search to the user; identifying, for the one or more language-based databases, a finite number of database objects; and determining a plurality of combinations of the finite number of database objects. The one or more language-based databases include at least one metadata database including at least one of a group of information types including case information, keywords, information models, and database values.

A method for regulating the asking and motivating the answering of questions via a computer network. The number and complexity of questions asked is controlled by a question regulation method, and the number and quality of answers provided is controlled by an answer evaluation method. The question regulation method permits users to post more numerous or more complex questions based on factors such as viewing of advertising, or provision of marketing information. The answer measurement method may be used to reward those who supply numerous or high-quality answers with premiums, public recognition, or employment opportunities.

Methods and systems are provided for controlling the charging of onboard energy storage systems of a plurality of plug-in vehicles using a remote command center. A system for directing the charging of a plurality of remotely located plug-in vehicles is provided. The system includes a communication system configured to transmit charging authorizations to charge each of the plurality of plug-in vehicles and to receive data related to power consumption from each of the plurality of plug-in vehicles. The system also includes a controller communicatively coupled to the communication system and configured to receive the data related to power consumption and to direct the charge authorizations based thereon. A database is also included in the system and is communicatively coupled to the controller, with the database configured to store the data related to power consumption.

A mechanism of ranking weblog or “blog” items is provided. More particularly, the subject ranking mechanisms can facilitate ranking blog feeds and blog items contained therein thus focusing and intelligently delivering content (e.g., blog items) to users. The subject innovation facilitates ranking the blog feeds and blog items by creating a context rank around each blog feed. The context rank represents a sum of a context weight, a track-back weight and a comment weight. Accordingly, this context rank can allow readers to sort blog items in the order of popularity or importance thus effectively reducing content noise.

Sound, robust methods identify the most suitable, parsimonious set of tests to use with respect to prioritized, sequential anomaly detection in a collected batch of sample data. While the focus is on detecting anomalies in network traffic flows and classifying network traffic flows into application types, the methods are also applicable to other anomaly detection and classification application settings, including detecting email spam, (e.g. credit card) fraud detection, detecting imposters, unusual event detection (for example, in images and video), host-based computer intrusion detection, detection of equipment or complex system failures, as well as of anomalous measurements in scientific experiments.

A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.

A nutrition and activity management system is disclosed that monitors energy expenditure of an individual through the use of a body-mounted sensing apparatus. The apparatus is particularly adapted for continuous wear. The system is also adaptable or applicable to measuring a number of other physiological parameters and reporting the same and derivations of such parameters. A weight management embodiment is directed to achieving an optimum or preselected energy balance between calories consumed and energy expended by the user. An adaptable computerized nutritional tracking system is utilized to obtain data regarding food consumed, Relevant and predictive feedback is provided to the user regarding the mutual effect of the user's energy expenditure, food consumption and other measured or derived or manually input physiological contextual parameters upon progress toward said goal.

A multidimensional method and apparatus for adaptively characterizing and aggregating data through a secure automated means of database modification, a prioritization and weighting system, a third party enhanced metadata entry and classification mechanism, adaptive and time varying individual personality and preference characterization, and an aggregation and delivery capability which allows for multiple data formats and mediums. Individual characterization incorporates an inference engine which formulates client composite images which vary with time. Asynchronous data interchanges enabled through the use of XML allow for more efficient and effective resource utilization and time. The knowledge system of this invention A) effectively integrates information from diverse sources, B) verifies, adds to or enhances source metadata (product data sheet; article title), and C) searches, queries, retrieves, and aggregates information. Selected product information can be obtained by e-mail without exposure to spamming by using e-mail address translation.

A system and method for collecting, filtering, analyzing, distributing and effectively utilizing highly relevant events (such as key business events) in real time, from huge quantities of data. The present invention analyzes both historic and real-time data stemming from operational activity, by interfacing with internal data repositories (such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM)), external data sources (such as suppliers and clients), and real time operational systems in order to create an Active Intelligence Platform. This Active Intelligence Platform is positioned as a layer between the organization's data sources and its applications, monitoring inputs and relaying only the important data items to the relevant individuals and / or systems. This allows individuals and systems to respond immediately and effectively to key events.

A “Wearable Electromyography-Based Controller” includes a plurality of Electromyography (EMG) sensors and provides a wired or wireless human-computer interface (HCl) for interacting with computing systems and attached devices via electrical signals generated by specific movement of the user's muscles. Following initial automated self-calibration and positional localization processes, measurement and interpretation of muscle generated electrical signals is accomplished by sampling signals from the EMG sensors of the Wearable Electromyography-Based Controller. In operation, the Wearable Electromyography-Based Controller is donned by the user and placed into a coarsely approximate position on the surface of the user's skin. Automated cues or instructions are then provided to the user for fine-tuning placement of the Wearable Electromyography-Based Controller. Examples of Wearable Electromyography-Based Controllers include articles of manufacture, such as an armband, wristwatch, or article of clothing having a plurality of integrated EMG-based sensor nodes and associated electronics.

An interactive communications system is provided in accordance with the present invention. The system includes a component for analyzing sequential communications including speech, gestures and other modalities related to an underlying communicative intention. The component concurrently employs at least two of the communications in determining an action to facilitate achieving the intention.

Analog processors for solving various computational problems are provided. Such analog processors comprise a plurality of quantum devices, arranged in a lattice, together with a plurality of coupling devices. The analog processors further comprise bias control systems each configured to apply a local effective bias on a corresponding quantum device. A set of coupling devices in the plurality of coupling devices is configured to couple nearest-neighbor quantum devices in the lattice. Another set of coupling devices is configured to couple next-nearest neighbor quantum devices. The analog processors further comprise a plurality of coupling control systems each configured to tune the coupling value of a corresponding coupling device in the plurality of coupling devices to a coupling. Such quantum processors further comprise a set of readout devices each configured to measure the information from a corresponding quantum device in the plurality of quantum devices.

Enabling dynamic, computer-driven, context-based detection of social network patterns within an input graph representing a social network. A Social Network Aware Pattern Detection (SNAP) system and method utilizes a highly-scalable, computationally efficient integration of social network analysis (SNA) and graph pattern matching. Social network interaction data is provided as an input graph having nodes and edges. The graph illustrates the connections and / or interactions between people, objects, events, and activities, and matches the interactions to a context. A sample graph pattern of interest is identified and / or defined by the user of the application. With this sample graph pattern and the input graph, a computational analysis is completed to (1) determine when a match of the sample graph pattern is found, and more importantly, (2) assign a weight (or score) to the particular match, according to a pre-defined criteria or context.

A technique is provided for determining credit ratings without the need for traditional credit bureau data. In at least one embodiment of the invention, a method comprises the steps of providing a network of linked identity records, each identity record comprising identity related information; receiving an identity record comprising identity related information of the entity; linking the received identity record with at least one of the identity records in the network of linked identity records, quantifying a plurality of linked identity records related to the entity; and generating a credit rating for the entity based on the quantified identity records. Application of the invention is particularly useful for individuals with less than a few years credit behavior recorded on a credit bureau, such as immigrants or young people with limited traditional historical information (“thin file”) and individuals with no traditional historical information (“no hit”).

A multipurpose hemofiltration system (10) and method are disclosed for the removal of fluid and / or soluble waste from the blood of a patient. The system (10) continuously monitors the flow rates of drained fluid, blood, and infusate. When necessary, the pumping rates of the infusate, drained fluid and blood are adjusted to remove a preselected amount of fluid from the blood in a preselected time period. A supervisory controller (160) can monitor patient parameters, such as heart rate (120) and blood pressure (130), and adjust the pumping rates accordingly. The supervisory controller (160) uses fuzzy logic to make expert decisions, based upon a set of supervisory rules, to control each pumping rate to achieve a desired flow rate and to respond to fault conditions. An adaptive controller (162) corrects temporal variations in the flow rate based upon an adaptive law and a control law.

A system and method for measuring a performance of an entity and for predicting its future performance is disclosed. Raw information about the entity is collected from internal and external sources. The information is cleaned to exclude false positives. Using performance categories, the information is organized and transformed into meaningful data for the performance analysis engine. The information is normalized by scaling the meaningful data by industry type. A performance score is calculated by the performance analysis engine based on the normalized data. Further, a competitive relationship score is calculated based on the performance score and the normalized data. These scores are reported in a user interface displaying the performance of the entity and are used as inputs, among other factors, to a predictive analysis engine that assesses the future performance of the entities.

The system implements a novel method for personalized filtering of information and automated generation of user-specific recommendations. The system uses a statistical latent class model, also known as Probabilistic Latent Semantic Analysis, to integrate data including textual and other content descriptions of items to be searched, user profiles, demographic information, query logs of previous searches, and explicit user ratings of items. The system learns one or more statistical models based on available data. The learning may be reiterated once additional data is available. The statistical model, once learned, is utilized in various ways: to make predictions about item relevance and user preferences on un-rated items, to generate recommendation lists of items, to generate personalized search result lists, to disambiguate a users query, to refine a search, to compute similarities between items or users, and for data mining purposes such as identifying user communities.

The present invention relates to a system and method of medical knowledge domain modeling and automated medical decision-making, such as for online, questionnaire-based medical triage. In the present invention, information such as conditions and characteristics related to a diagnosis or disposition level is modeled in a Bayesian Network. The Bayesian Network may comprise instantiable nodes, fault nodes, intermediary nodes, a utility node and a decision node. Using Bayesian inference, the conditional probability of any pair in the network may be determined in real-time. These conditional probabilities are modified upon the input of evidence, which is typically in the form of answers to a dynamic set of questions designed to identify a diagnosis or disposition level for the patient under evaluation.

A system and method for collecting, filtering, analyzing, distributing and effectively utilizing highly relevant events (such as key business events) in real time, from huge quantities of data. The present invention analyzes both historic and real-time data stemming from operational activity, by interfacing with internal data repositories (such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM)), external data sources (such as suppliers and clients), and real time operational systems in order to create an Active Intelligence Platform. This Active Intelligence Platform is positioned as a layer between the organization's data sources and its applications, monitoring inputs and relaying only the important data items to the relevant individuals and / or systems. This allows individuals and systems to respond immediately and effectively to key events.

An analog processor, for example a quantum processor may include a plurality of elongated qubits that are disposed with respect to one another such that each qubit may selectively be directly coupled to each of the other qubits via a single coupling device. Such may provide a fully interconnected topology.

A ridesharing system and method involving selected negotiated participation of riders and ride providers. The ridesharing system in a specific implementation involves a computer-implemented capability for computational matching of potential participants in a ridesharing arrangement, wherein such system is adapted for prioritized ranking of target ridesharing attributes by such potential participants, involving allocation by potential participants of quantitative weight within a quantitative total budget of allocatable value to predetermined selection criteria, with such system having an input capability for inputting the allocations of potential participants, and the system being constructed and arranged for effecting the computational matching based on the allocations, with communication capability for outputting results of the computational matching to the potential participants.