Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: providing a cognitive tour guide service to a group of participants for a tour with an initial route planned by participants registration information and environment information along the initial route. During the tour, real time sensory data on the participants health characteristics, change in environment are collected by a cognitive agent accompanying the group to lead the tour are relayed to a cognitive tour guide engine, and real time multi-objective optimization is modeled and performed. The participants are regrouped responsive to their respective enjoyment and circumstances of the environment and, among a set of optimal solutions, a new route for the tour is selected based on participant preference modeled and trained by participant feedback. During the tour, the cognitive tour guide engine continuously optimizes route responsive to incoming real time sensory data.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: providing a cognitive tour guide service to a group of participants for a tour with an initial route planned by participants registration information and environment information along the initial route. During the tour, real time sensory data on the participants health characteristics, change in environment are collected by a cognitive agent accompanying the group to lead the tour are relayed to a cognitive tour guide engine, and real time multi-objective optimization is modeled and performed. The participants are regrouped responsive to their respective enjoyment and circumstances of the environment and, among a set of optimal solutions, a new route for the tour is selected based on participant preference modeled and trained by participant feedback. During the tour, the cognitive tour guide engine continuously optimizes route responsive to incoming real time sensory data.

Abstract: Systems and methods for dynamically managing figments are disclosed. A computer-implemented method includes: receiving, by a computing device, a question from a user; answering, by the computing device, the question using a first degree figment; classifying, by the computing device, the question based on topics; forwarding, by the computing device, the question to a set of second degree figments; receiving, by the computing device, answers to the question from the set of second degree figments; ranking, by the computing device, the answers received from the set of second degree figments; and providing, by the computing device, the ranked answers to the user.

Abstract: In an approach to incident prediction and response, one or more computer processors receive one or more alerts corresponding to an incident. The one or more computer processors aggregate the one or more alerts with additional data corresponding to the incident. The one or more computer processors feed the aggregated data into a prediction model, where training of the prediction model uses associated independent stacked Restricted Boltzmann Machines utilizing one or more supervised methods and one or more unsupervised methods. The one or more computer processors determine, based, at least in part, on one or more calculations by the prediction model, at least one probability of the incident. The one or more computer processors determine whether the at least one probability exceeds a pre-defined threshold. In response to determining the at least one probability exceeds a pre-defined threshold, the one or more computer processors send at least one notification.

Abstract: A forecasting cohort includes a first set of forecasting algorithms and a second set of forecasting algorithms. A half-life of each of the first set of forecasting algorithms and the second set of forecasting algorithms are determined. A half-life weight for each of the first set of forecasting algorithms and the second set of forecasting algorithms at a subsequent time are determined, such that the half-life weights decrease an effect of a forecasting algorithm as time elapses. A confidence level of the forecasting cohort at the subsequent time is determined and used to adjust resource usage.

Abstract: Aspects generate customized routes that select between human-powered and motorized transport option segments to maximize well-being objective in navigating a traveler to a destination. Amounts of human-powered transport options that a traveler is willing, able or recommended to perform via the traveler's own physical exertions in reaching a destination are determined as a function of well-being or cost objectives and performance limits. Recommended routes to the destination having human-powered and/or motorized transport option segments are generated that meet well-being objectives without exceeding amounts that the traveler is currently able to perform, and excluding segments that require efforts that do not meet the well-being objective or exceed the amounts that the traveler is currently able to perform.

Abstract: Aspects generate customized routes that select between human-powered and motorized transport option segments to maximize well-being objective in navigating a traveler to a destination. Amounts of human-powered transport options that a traveler is willing, able or recommended to perform via the traveler's own physical exertions in reaching a destination are determined as a function of well-being or cost objectives and performance limits. Recommended routes to the destination having human-powered and/or motorized transport option segments are generated that meet well-being objectives without exceeding amounts that the traveler is currently able to perform, and excluding segments that require efforts that do not meet the well-being objective or exceed the amounts that the traveler is currently able to perform.

Abstract: A forecasting cohort includes a first set of forecasting algorithms and a second set of forecasting algorithms. A half-life of each of the first set of forecasting algorithms and the second set of forecasting algorithms are determined. A half-life weight for each of the first set of forecasting algorithms and the second set of forecasting algorithms at a subsequent time are determined, such that the half-life weights decrease an effect of a forecasting algorithm as time elapses. A confidence level of the forecasting cohort at the subsequent time is determined and used to adjust resource usage.

Abstract: A forecasting cohort includes a first set of forecasting algorithms and a second set of forecasting algorithms. An initial confidence level and a half-life of each of the first set of forecasting algorithms and the second set of forecasting algorithms are determined. A half-life weight for each of the first set of forecasting algorithms and the second set of forecasting algorithms at a subsequent time are determined, such that the half-life weights decrease an effect of a forecasting algorithm as time elapses. A combined confidence level of the forecasting cohort at the subsequent time is determined and used to adjust resource usage.

Abstract: An apparatus and method for measuring a person's biometric data as well as associated data and for using that data to determine the person's talents and well-being state, as well as predicting an optimal career path for the person. Biometric data is measured using a sensor, a memory configured to store the biometric signals, a database configured to store and retrieve profiles, and a processor configured to compare biometric data as well as associated data with anonymous profiles stored in the database and create a profile for the person.

Abstract: Applications for detecting binaural sounds and customizing binaural sounds for users. A system for detecting binaural sounds according to an embodiment includes: an input system for obtaining a left side audio signal and a right side audio signal within an environment; a binaural sound detector for evaluating the left side audio signal and the right side audio signal to determine whether a binaural sound is present; and an alarm system for generating an alert when the binaural sound is detected.

Abstract: An apparatus and method for measuring a person's biometric data as well as associated data and for using that data to determine the person's talents and well-being state, as well as predicting an optimal career path for the person. Biometric data is measured using a sensor, a memory configured to store the biometric signals, a database configured to store and retrieve profiles, and a processor configured to compare biometric data as well as associated data with anonymous profiles stored in the database and create a profile for the person.

Abstract: The present invention provides a system and a method of monitoring and communicating biomedical data to a remote receiver. Specifically, the present invention provides a system and method that can monitor a biomedical-based electromagnetic field, e.g., heart rate variability (HRV) field, emitted from a human user (“sender”), and/or communicate the biomedical-based electromagnetic field to a remote receiver by measuring the biomedical-based electromagnetic field emitted from the sender, creating an electronic signal corresponding to the field and transmitting or broadcast and/or apply the signal to a remote receiver.

Abstract: A system, method and program product for providing a reflexive data collection system and a reflexive data verification system. A system is provided that includes: a system for defining a set of environmental conditions; a device for automatically implementing the set of environmental conditions; a system for collecting biometric data under the set of environmental conditions; and a system for encoding the biometric data and the set of environmental conditions into a reflexive template.

Abstract: A system, method and program product for providing a reflexive data collection system. A system is provided that includes: a system for defining a set of environmental conditions; a device for automatically implementing the set of environmental conditions; a system for collecting biometric data under the set of environmental conditions; and a system for encoding the biometric data and the set of environmental conditions into a reflexive template.

Abstract: The present invention provides a system and a method of monitoring and communicating biomedical data to a remote receiver. Specifically, the present invention provides a system and method that can monitor a biomedical-based electromagnetic field, e.g., heart rate variability (HRV) field, emitted from a human user (“sender”), and/or communicate the biomedical-based electromagnetic field to a remote receiver by measuring the biomedical-based electromagnetic field emitted from the sender, creating an electronic signal corresponding to the field and transmitting or broadcast and/or apply the signal to a remote receiver.

Abstract: A system, method and program product for utilizing a steganographic process to hide data element in a carrier object. A system is disclosed that includes: a pivot object generator that generates a pivot object having a key hidden therein, wherein the key is hidden in the pivot object based on an inputted salt; and a carrier object generator that generates a carrier object having a data element hidden therein using a steganographic hiding system, wherein the steganographic hiding system requires utilization of the key to extract the data element from the carrier object.

Abstract: A system (and method) for optimizing utilization of a human resource, including determining an emotional state or a physical state of the human resource, and determining whether the emotional state or the physical state of the human resource corresponds to a task.

Abstract: The present invention provides a system and a method of monitoring and communicating biomedical data to a remote receiver. Specifically, the present invention provides a system and method that can monitor a biomedical-based electromagnetic field, e.g., heart rate variability (HRV) field, emitted from a human user (“sender”), and/or communicate the biomedical-based electromagnetic field to a remote receiver by measuring the biomedical-based electromagnetic field emitted from the sender, creating an electronic signal corresponding to the field and transmitting or broadcast and/or apply the signal to a remote receiver.

Abstract: Applications for detecting binaural sounds and customizing binaural sounds for users. A system for detecting binaural sounds according to an embodiment includes: an input system for obtaining a left side audio signal and a right side audio signal within an environment; a binaural sound detector for evaluating the left side audio signal and the right side audio signal to determine whether a binaural sound is present; and an alarm system for generating an alert when the binaural sound is detected.