Abstract: A computer-implemented method for creating a classified token database usable for dynamically redacting confidential information from communications includes performing natural language processing on training input and determining whether a confidentiality level is present in the training input. The method includes, in response to determining that the confidentiality level is present, adding at least one classified token associated with the training input to a classified token database.

Abstract: A computer-implemented method for creating a classified token database usable for dynamically redacting confidential information from communications includes performing natural language processing on training input and determining whether a confidentiality level is present in the training input. The method includes, in response to determining that the confidentiality level is present, adding at least one classified token associated with the training input to a classified token database.

Abstract: Embodiments are directed to a computer-implemented method of operating a driver assistance component (DAC) of a vehicle. The method includes receiving sensed operator state data and sensed vehicle state data that represents a vehicle state of the vehicle. Based at least in part on the sensed operator state data, an operator state model is created, trained, and updated. Based at least in part on the sensed vehicle state data, a vehicle state model is created, trained, and updated. Based at least in part on new sensed operator state data, an operator state model classification output is created. Based at least in part on new sensed vehicle state data, a vehicle state model classification output is created. The operator state model classification output and the vehicle state model classification output are correlated, and operating parameters for the DAC are predicted.

Abstract: Embodiments include methods, systems and computer program products for preventing the loss of wireless accessories for mobile devices. Aspects include calculating, by a processor, a distance between a mobile device and at least one of two or more wireless accessories in communication with the mobile device an determining whether the distance between the mobile device and the at least one of two or more wireless accessories is greater than a first threshold distance. Aspects also include generating an alert by the mobile device that indicates that the at least one of two or more wireless accessories is greater than the threshold distance away from the mobile device based on a determination that the distance between the mobile device and the at least one of two or more wireless accessories is greater than the first threshold distance.

Abstract: Embodiments are directed to a computer-implemented method of operating a driver assistance component (DAC) of a vehicle. The method includes receiving sensed operator state data and sensed vehicle state data that represents a vehicle state of the vehicle. Based at least in part on the sensed operator state data, an operator state model is created, trained, and updated. Based at least in part on the sensed vehicle state data, a vehicle state model is created, trained, and updated. Based at least in part on new sensed operator state data, an operator state model classification output is created. Based at least in part on new sensed vehicle state data, a vehicle state model classification output is created. The operator state model classification output and the vehicle state model classification output are correlated, and operating parameters for the DAC are predicted.

Abstract: Embodiments include methods, systems and computer program products for preventing the loss of wireless accessories for mobile devices. Aspects include calculating, by a processor, a distance between a mobile device and at least one of two or more wireless accessories in communication with the mobile device an determining whether the distance between the mobile device and the at least one of two or more wireless accessories is greater than a first threshold distance. Aspects also include generating an alert by the mobile device that indicates that the at least one of two or more wireless accessories is greater than the threshold distance away from the mobile device based on a determination that the distance between the mobile device and the at least one of two or more wireless accessories is greater than the first threshold distance.

Abstract: Embodiments include methods, systems and computer program products for preventing the loss of wireless accessories for mobile devices. Aspects include calculating, by a processor, a distance between a mobile device and at least one of two or more wireless accessories in communication with the mobile device an determining whether the distance between the mobile device and the at least one of two or more wireless accessories is greater than a first threshold distance. Aspects also include generating an alert by the mobile device that indicates that the at least one of two or more wireless accessories is greater than the threshold distance away from the mobile device based on a determination that the distance between the mobile device and the at least one of two or more wireless accessories is greater than the first threshold distance.