Abstract: A method, system and computer-usable medium for using cognitive graph vectors to refine cognitive insights.

Abstract: Aspects of the present disclosure are directed toward evaluating an answer sequence. Aspects are directed toward receiving a set of answer sequences including a first answer sequence. The first answer sequence may have a first set of answers. Aspects are also directed toward identifying a set of scores coupled with the first set of answers. Aspects are also directed toward determining, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules. Aspects are also directed toward generating, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence.

Abstract: A device includes a state machine. The state machine includes a plurality of blocks, where each of the blocks includes a plurality of rows. Each of these rows includes a plurality of programmable elements. Furthermore, each of the programmable elements are configured to analyze at least a portion of a data stream and to selectively output a result of the analysis. Each of the plurality of blocks also has corresponding block activation logic configured to dynamically power-up the block.

Abstract: A system, method and computer program product for scalable, rule-based processing, including an automaton builder for constructing automatons corresponding to trigger rules and word lists that are employed by the trigger rules, and a rule evaluator for evaluating any of the trigger rules with respect to an input document by selecting any of the automatons to evaluate a given one of the trigger rules, parsing the input document using the selected automatons, determining whether conditions of the given trigger rule are met, and identifying any actions that are associated with the given trigger rule.

Abstract: Disclosed is a Cognitive Map-Based Tactical Decision Simulation for Training (CMDST) uses fuzzy cognitive maps (FCM's) to: 1) model high-stress tactical problems or engagements and their causal relationships; 2) simulate situational activities immediately prior to, during, and following the occurrence of a tactical problem or engagement; 3) calculate the relative values of different courses of action; 4) perform individual performance and comparative analysis of selected courses of action; 5) conduct after action reviews to solidify lessons learned from the simulation; and 6) develop individual decision making action plans to outline specific actions to be undertaken to improve future decision making performance.

Abstract: A system and method provides for an interactive query comprising a first input module capable of receiving input for creating a simulated personality for a first user. An expert system is capable of creating and storing the simulated personality. An output module is used for presenting the simulated personality to a second user. An interactive query module is capable of allowing the second user to communicate with the simulated personality of the first user.

Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Abstract: Particular embodiments store a business object attachment in a specific storage location associated with a business object. In this embodiment a computer receives an attachment for the business object along with information regarding the business object. The information regarding the business object may include a business object identifier and a business object type identifier. With this information, the computer defines routing attribute fields for the attachment. Using the routing attribute fields and the business object type identifier, the computer calculates a target content repository and a target path for the attachment. The computer then determines which content management system contains the target repository and interfaces with that target content management system to direct that content management system to store the attachment in the target repository at the target path.

Abstract: A system and method for automating proactive communication. The information for the desired contacts may be accepted from a user. A selection of contact communication frequency preferences may be received from a user. An automatic communication to one of the desired contacts may be initiated. The user may be allowed to cancel the automatic communication, in response to receiving a notification that the communication is about to begin. A response indicative of the communication status may be received. Rules and preferences may be optimized based upon the received response.

Abstract: A computer system includes a processor for executing a program, a computer holding the program executed by the processor, a first database holding relevance between physical amounts measured under conditions different in at least one of time and place, and a second database holding relevance between pieces of information including texts and corresponding to the measured physical amounts. The processor is configured to: calculate, based on the relevance between the physical amounts held in the first database and the relevance between the pieces of information in the second database, relevance between each of the measured physical amounts and each of the pieces of information, and hold the calculated relevance between each of the physical amounts and each of the pieces of information in a third database; and refer to, when the physical amounts are input, the third database to present information highly relevant to the input physical amounts.

Abstract: A method and a system for providing personal assistance in daily activities. A method and a system for actively and automatically providing personal assistance, using a robotic device/platform, based on detected data regarding a user and the user's environment. The method and system may include a processor, at least one sensor, an output device, a communications unit, and a database. The database may further include a memory and cloud-based database and computing. The method and system may provide assistance in jogging the memory of the user, parental control of a child, hazard detection, and various other circumstances. The method and system may actively and automatically provide personal assistance regarding health, exercise, diet, or nutrition. The method and system may assist the user or a health professional in health diagnosis and treatment.

Abstract: In the area of storage management, service automation can be realized through the use of “MAPE” loop(s). A Planner (P) interacts with the Monitoring (M), Analysis (A) and Execution (E) components in a closed loop. For each new option or potential planning action the Planner (P) invokes the Analysis (A) component. The correctness, as well as effectiveness, of the planning decision is dependent on the Analysis (A) component. Embodiments can utilize an adaptive Analysis (A) component (i.e., an analysis component that can be retrained) that also associates a value of confidence and a corresponding error in the evaluation along with a predicted impact. The Planner (P) component uses this additional information for quoting the final impact of a particular planning action as part of an adaptive MAPE loop to provide improved resource utilization and resource management.

Abstract: 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.

Abstract: An apparatus and method for solving mathematical programming problems. The apparatus includes a first-time-point-solution generating unit generating at least one solution to a mathematical programming problem, a second-time-point-problem generating unit generating a plurality of mathematical programming problems to be on the basis of the solution to the mathematical programming problem to be solved at the first time point, a second-time-point optimum value calculating unit calculating an optimum value of each of a plurality of mathematical programming problems to be solved at the second time point, a relational expression estimating unit estimating a relational expression between the solution to the mathematical programming problem to be solved at the first time point and an optimum value of a mathematical programming problem to be solved at the second time point, and a correcting unit correcting the mathematical programming problem at the first time point based on the relational expression.

Abstract: A sentiment analysis computing system includes a storage medium and a processing system. Sentiment input is received from audience members viewing a streamed/webcasted event. The received input is stored to the storage medium. A time slice of the webcasted event is determined and sentiment inputs that are within that time slice are obtained. A sentiment value is calculated for the determined time slice based on aggregated sentiment values. The calculated sentiment value for the time slice is then output by the sentiment analysis computing system.

Abstract: A method and system that includes extracting event models from at least one personal planning source of a user, wherein a parameter of an event model includes event location; periodically receiving location information of at least one mobile device of the user; storing the location information in a location log; a pattern worker module maintaining user location patterns through the location log; generating a location prediction from the extracted event models and the user location patterns; a first content worker module checking if the location prediction meets a set of content requirements; if the set of content requirements is satisfied, initiating content retrieval from at least one service; and pushing the content to the mobile device.

Abstract: Technologies for wireless device battery analysis and prediction are disclosed.

Abstract: A computer-implemented method, an apparatus and a recording medium are provided for predicting a score associated with a first user and with a first item are provided. The method comprises: storing one or more first scores in a first database, each first score being associated with a user and with an item; calculating, based on the first scores, one or more latent user features associated with one or more users including the first user and one or more latent item features associated with one or more items including the first item; calculating, based on the latent user features and the latent item features, a second score associated with the first user and with the first item; and providing the second score as a predicted score associated with the first item and with the first user. The recording medium comprises instructions to configure the apparatus to perform the method.

Abstract: Generally discussed herein are systems and methods for probabilistic name matching. In one or more embodiments a method can include determining a first set of possible intended names as a function of a first name, determining a second set of possible intended names for each name in a set of names in a name variant database, and probabilistically matching a name from the first set of possible intended names to a name from the second set of possible intended names. Probabilistically matching can include determining a weight associated with typing the first name but intending to type another name in the first set of possible intended names and determining the probability of typing a name in the set of names in the name variant database but intending to type a name from the second set of possible intended names.

Abstract: A recognition dictionary generating device includes a unit that acquires plural reference vectors each containing an offset value indicating a degree of importance; a unit that selects a first reference vector belonging to the class same as an input vector and having the minimum distance from the input vector, and a second reference vector belonging to a class different from the input vector and having the minimum distance from the input vector; a unit that acquires a first distance value indicating a distance between the input vector and the first reference vector and a second distance value indicating a distance between the input vector and the second reference vector; a unit that corrects the first reference vector and the second reference vector using a coefficient changing in accordance with a relationship between the first distance value and the second distance value, the first distance value, and the second distance value; and a determining unit that determines a reference vector to be excluded from a