Abstract: A method and a system for using a learnable augmentation technique to perform few-shot calibration of a model that is designed to generate time series predictions under distribution shifts with improved accuracy are provided. The method includes: receiving first information that relates to a source distribution of a time series and second information that relates to a target distribution of the time series; extracting a latent code from samples of the target distribution; perturbing the latent code by adding random noise in order to generate augmented samples of the target distribution; training a classifier based on samples of the source distribution; adjusting the classifier based on a combination of the samples of the source distribution and the augmented samples of the target distribution; and using the adjusted classifier to train a machine learning model that is usable for making future predictions that relate to the time series.

Abstract: Systems and methods for remotely monitoring the charging of an implantable pulse generator (IPG) are described. Data related to charging of the IPG is sent to a remote server. The data can be analyzed to determine various charging practices, for example, the frequency and duration of charging sessions, how well the patient aligns their external charger with the IPG, how low the patient allows their battery to drain between charging sessions, etc. Algorithms can be used to identify inefficient charging behaviors so that the patient and/or clinician can be alerted.

Abstract: The present application relates to software on phones for displaying local times of distant parties as to allow users of the software to shape their behavior based on the social and business expectations related to those local times. Local times are retrieved by communicating with a directory number information service. The directory number information service can receive a user identifier from a phone application identifying a remote party. The service can retrieve a location of the remote party identified by the user identifier. The service can determine a local time of the remote party based on the remote party's location and provide the local time to the phone application for display. Social statuses can also be provided. The phone can create a call log for incoming calls made by remote parties. The calculated local time can be used for updating software on the phones.

Abstract: The present application relates to software on phones for displaying local times of distant parties as to allow users of the software to shape their behavior based on the social and business expectations related to those local times. Local times are retrieved by communicating with a directory number information service. The directory number information service can receive a user identifier from a phone application identifying a remote party. The service can retrieve a location of the remote party identified by the user identifier. The service can determine a local time of the remote party based on the remote party's location and provide the local time to the phone application for display. Social statuses can also be provided. The phone can create a call log for incoming calls made by remote parties. The calculated local time can be used for updating software on the phones.