Abstract: This document generally relates to techniques for adaptively triggering charging notifications for a battery-powered user device. One example includes a method or technique that can be performed on a computing device. The method or technique can include obtaining a battery charge level of a battery of a battery-powered user device and accessing user data for a user of the battery-powered user device. The user data can reflect previous usage sessions of the user with the battery-powered user device. The method or technique can also include predicting a future usage session of the user with the battery-powered user device based on the user data. The method or technique can also include estimating confidence that the battery will last through the future usage session based on the battery charge level and the predicted future usage session. The method or technique can also include triggering a charging notification prior to the future usage session based on the estimated confidence.

Abstract: Examples of the present disclosure describe systems and methods for providing software ownership validation of optical discs using secondary devices. In aspects, a user may request access to electronic content using a first device. In response to the request, a local network comprising the first device may be queried to identify a second device having access to the electronic content. For example, the second device may comprise an optical disc comprising the electronic content. Upon identifying the second device, the second device may be queried to determine whether the second device is able to validate the user's ownership of the electronic content. If the second device is able to validate the user's ownership of the electronic content, the first device is provided access to the electronic content.

Abstract: Aspects of the present disclosure relate to device pairing techniques based on an association between a wireless fingerprint and a target computing device. In examples, wireless signal information associated with nearby computing devices is detected and used to identify a matching wireless fingerprint. For example, the wireless fingerprint may comprise entries for a plurality of devices, each of which may include a signal strength range for a device. Thus, when the signal strengths of the nearby devices are determined to match the wireless fingerprint, a connection may be automatically established with a target device associated with the wireless fingerprint. As such, rather than manually pairing a computing device with the target device, it may be determined that the computing device is in an environment associated with the target device by virtue of identifying a matching wireless fingerprint, such that a connection is automatically established with the target device.

Abstract: Examples of the present disclosure describe systems and methods for providing software ownership validation of optical discs using secondary devices. In aspects, a user may request access to electronic content using a first device. In response to the request, a local network comprising the first device may be queried to identify a second device having access to the electronic content. For example, the second device may comprise an optical disc comprising the electronic content. Upon identifying the second device, the second device may be queried to determine whether the second device is able to validate the user's ownership of the electronic content. If the second device is able to validate the user's ownership of the electronic content, the first device is provided access to the electronic content.

Abstract: Methods, systems, and computer program products are described herein for automatic collision avoidance and/or bodily injury mitigation. For example, a vehicle determines the optimal action(s) to take to avoid a collision or reduce the bodily injury of occupant(s) of the vehicle in the event that the vehicle determines that the collision is unavoidable. The vehicle performs action(s) that reduce the change of momentum experienced by occupant(s) thereof as a result of the collision. The actions are based on various characteristics of the vehicles that are to be involved in the collision. Such actions may comprise accelerating into and causing a collision with vehicle(s) in front of the vehicle at or around the same time at which a further vehicle rear-ends the vehicle. The system processes several scenarios in real-time (taking into changes of velocity of the vehicles involved) to determine the scenario that best mitigates the change of momentum.

Abstract: Methods, systems, and computer program products are described herein for automatic collision avoidance and/or bodily injury mitigation. For example, a vehicle determines the optimal action(s) to take to avoid a collision or reduce the bodily injury of occupant(s) of the vehicle in the event that the vehicle determines that the collision is unavoidable. The vehicle performs action(s) that reduce the change of momentum experienced by occupant(s) thereof as a result of the collision. The actions are based on various characteristics of the vehicles that are to be involved in the collision. Such actions may comprise accelerating into and causing a collision with vehicle(s) in front of the vehicle at or around the same time at which a further vehicle rear-ends the vehicle. The system processes several scenarios in real-time (taking into changes of velocity of the vehicles involved) to determine the scenario that best mitigates the change of momentum.