Abstract: A data analysis system includes processor to: arrange data in a multi-dimensional structure based on a target activity defined by a smart card; perform analysis on the data to predict an outcome of the target activity of activities; determine a probability of success of the outcome that has been predicted; determine, based on the outcome and probability of success, choices associated with the activities; determine patterns and changes in the data pertaining to the activities detected by an access device with access to the smart card; perform transformative and scheduling, exposed through an application programming interface for the data; schedule to arrange the choices and the probability of success of the outcome for the access device; cue the choices and the probably of success; and transmit the plurality of choices and the probability of success of the outcome to the access device for rendering on the smart card.

Abstract: A data analysis system includes processor to: arrange data in a multi-dimensional structure based on a target activity defined by a smart card; perform analysis on the data to predict an outcome of the target activity of activities; determine a probability of success of the outcome that has been predicted; determine, based on the outcome and probability of success, choices associated with the activities; determine patterns and changes in the data pertaining to the activities detected by an access device with access to the smart card; perform transformative and scheduling, exposed through an application programming interface for the data; schedule to arrange the choices and the probability of success of the outcome for the access device; cue the choices and the probably of success; and transmit the plurality of choices and the probability of success of the outcome to the access device for rendering on the smart card.

Abstract: A system for detecting activities and changes in the activities of a user and dynamically performing an action is described. The system comprises a knowledge processor that uses explicit and tacit knowledge, based on cognitive and context data related to an activity to forecast and optimizing future decisions. The system comprises a data receiver to receive data for an action from an access device, the data comprising transactional data associated with contextual information, a scheduler to capture cognitive and context data from the data, perform an activity in response to the action and render activity data associated with the activity.

Abstract: A data analysis system is described. The data analysis system includes a processor, a latent learner coupled to the processor, an inference deducer coupled to the processor, and a probability determiner coupled to the processor. The latent learner is to arrange data in a multi-dimensional structure based on a target activity defined by an individual. The data pertains to one of a current activity and a target activity of the individual. Further, the inference deducer is to perform analysis on the data arranged in the multi-dimensional structure to predict an outcome. The inference deducer employs a proactive-retroactive learning technique to deduce the outcome. Furthermore, the probability determiner is to determine a probability of success of the outcome. Based on the outcome and the probability of success of the outcome, a plurality of choices is generated and rendered on a smart card.

Abstract: A power grid stabilizing system may include a processor and a network interface executable by the processor to monitor for new event data from power consumption devices over a network. The new event data may include information such as device location, operating information, and sensor data. The system may include an estimation engine operable to analyze the new event data to determine power consumption behavior of a consumption device, and a predictor operable to anticipate an occurrence of a future event responsive to the analysis. The predictor may also predict the outcome of the future event based on analysis of the new event data in relation to past behavior data of the consumption device. The network interface may further communicate the anticipated future event and the predicted outcome to one or more of the other consumption devices.

Abstract: A location-based cognitive and predictive communication system includes an interface connected to sensors to receive transactional data for an individual measured by the sensors. A memory stores the transactional data. The transactional data may be associated with a current travel path for the individual and includes a time and geographic location for the individual on the travel path. A prediction module may determine a current activity for the individual based on a prediction determined from the transactional data and may determine a choice set for the individual based on the current activity and based on predictions for a group for which the individual is a member. The choice set may include choices associated with transportation for the current travel path of the individual.

Abstract: A location-based cognitive and predictive communication system includes an interface connected to sensors to receive transactional data for an individual measured by the sensors. A memory stores the transactional data. The transactional data may be associated with a current travel path for the individual and includes a time and geographic location for the individual on the travel path. A prediction module may determine a current activity for the individual based on a prediction determined from the transactional data and may determine a choice set for the individual based on the current activity and based on predictions for a group for which the individual is a member. The choice set may include choices associated with transportation for the current travel path of the individual.

Abstract: A location-based cognitive and predictive communication system includes an interface connected to sensors to receive transactional data for an individual measured by the sensors. A memory stores the transactional data. The transactional data may be associated with a current travel path for the individual and includes a time and geographic location for the individual on the travel path. A prediction module may determine a current activity for the individual based on a prediction determined from the transactional data and may determine a choice set for the individual based on the current activity and based on predictions for a group for which the individual is a member. The choice set may include choices associated with transportation for the current travel path of the individual.

Abstract: A power grid stabilizing system may include a processor and a network interface executable by the processor to monitor for new event data from power consumption devices over a network. The new event data may include information such as device location, operating information, and sensor data. The system may include an estimation engine operable to analyze the new event data to determine power consumption behavior of a consumption device, and a predictor operable to anticipate an occurrence of a future event responsive to the analysis. The predictor may also predict the outcome of the future event based on analysis of the new event data in relation to past behavior data of the consumption device. The network interface may further communicate the anticipated future event and the predicted outcome to one or more of the other consumption devices.

Abstract: The robust position detection, cause-and-effect and rule determinants to govern excessive risks for global regulatory compliance (DCRD) method and system detects positions, determines rules to apply to position information, identifies causes and effects of positions, and distributes short position report information to appropriate recipients to govern excessive risks for global regulatory compliance. The DCRD methods and system may be configured to implement a rule engine and reporting solution in order to function as an expert system. The DCRD methods and system detect short positions, and identify cause-effect associated with short positions that form systemic risks. The DCRD methods and system determine rules applicable to the short positions by testing the cause-effect of the short position information in relation to the rules and validates the strategic effect the short positions prior to reporting for the short position information to governance and compliance according to one or more rule criteria.

Abstract: A location-based cognitive and predictive communication system includes an interface connected to sensors to receive transactional data for an individual measured by the sensors. A memory stores the transactional data. The transactional data may be associated with a current travel path for the individual and includes a time and geographic location for the individual on the travel path. A prediction module may determine a current activity for the individual based on a prediction determined from the transactional data and may determine a choice set for the individual based on the current activity and based on predictions for a group for which the individual is a member. The choice set may include choices associated with transportation for the current travel path of the individual.

Abstract: This invention relates to means for a real-life human performing certain specific activity—sports, games, events, education, shopping, defense activities, etc. where the person is interfacing with the computer generated three dimensional environment in which real-life human interacts with a sensory-immersing simulated environment that contains real-life experiences which interactively responds to and is controlled by the behavior of the real-life humans that give them more control over how the information is viewed. Technical problem to be solved by the present invention is to create a flexible system of rendering three-dimensional interactive environment to record and present behavioral strategy of a personality or team of persons a whole such that said system can be built into now-existing systems without their cardinal modification.

Abstract: What is the value of physical context for virtual interaction?—Swiss-house: A prototype physical/virtual collaborative environment: Jeffrey Huang and Muriel Waldvogel, Harvard University, Paper submitted for WACE 2002; 2) Method and system of rendering a virtual three-dimensional graphical display (U.S. Pat. 6, 452,593); 3) Method of creating virtual reality (U.S. Pat. 6,084,979).