Abstract: Systems, methods, and computer-readable storage media for age estimation/classification, and more specifically to estimating/classifying the ages of people appearing within videos. Systems configured as disclosed herein can receive a video, then identify multiple facial images for each individual captured within the video. The system can create embeddings of the facial images, then cluster those images together based on distances between the corresponding embeddings. The system can also execute a matchability algorithm on those facial images, determining which of the images provides the clearest image of the individual(s), and can then estimate the age of the individual(s) using the best matchability images and/or send the best matchability image for each individual to a third party for analysis.

Abstract: An augmented reality (AR) device can be configured to generate a virtual representation of a user's physical environment. The AR device can capture images of the user's physical environment to generate or identify a user's location. The AR device can project graphics at designated locations within the user's environment to guide the user to capture images of the user's physical environment. The AR device can provide visual, audible, or haptic guidance to direct the user of the AR device to explore the user's environment.

Abstract: A display system may include a wearable display for rendering a three-dimensional virtual image content which appears to be located in an environment of a user of the display. The relative positions of the display and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the display. For example, the display-to-eye alignment may vary for different users and/or may change over time (e.g., as a user moves or as the display becomes displaced). The wearable device may determine a relative position and/or alignment between the display and the user's eyes by determining whether features of the eye are at certain vertical positions relative to the display. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, and position render camera(s) accordingly to present virtual image content.

Abstract: A system and method for establishing a gaming session via cloud services with a first device, receiving information at the first device to establish a connection with a second device, and receiving at the first device instructions from the second device via the connection, wherein the instructions control an aspect of the gaming session.

Abstract: A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment may vary for different users and may change over time (e.g., as a user moves around and/or the HMD slips or is otherwise displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, may provide feedback on the quality of the fit to the user, and may take actions to reduce or minimize effects of any misalignment.

Abstract: Systems, methods, and corresponding non-transitory computer readable media describe a proposed system adapted as a platform governing the loading of data in a multiparty secure computing environment. In the multiparty secure computing environment described herein, multiple parties are able to load their secure information into a data warehouse having specific secure processing adaptations that limit both access and interactions with data stored thereon.

Abstract: Cellular connections can be used to provision non-cellular devices such as internet-of-things (IoT) devices. For example, IoT devices can comprise Bluetooth, Wi-Fi, and cellular capabilities. However, the cellular capability can be used to provision the IoT devices using non-internet protocol data delivery to prevent security vulnerabilities. Data can be transmitted to the IoT device using core elements without using an IP stack. Thus, IoT device configurations and the keys can be provisioned over-the-air without the use of internet protocol data.

Abstract: A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment may vary for different users and may change over time (e.g., as a given user moves around or as the HMD slips or otherwise becomes displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes by determining whether features of the eye are at certain vertical positions relative to the HMD. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, provide feedback on the quality of the fit to the user, and take actions to reduce or minimize effects of any misalignment.

Abstract: A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment may vary for different users and change over time (e.g., as a given user moves around or as the HMD slips or otherwise becomes displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, may provide feedback on the quality of the fit to the user, and may take actions to reduce or minimize effects of any misalignment.

Abstract: A system for processing data within a Trusted Execution Environment (TEE) of a processor is provided. The system may include: a trust manager unit for verifying identity of a partner and issuing a communication key to the partner upon said verification of identity; at least one interface for receiving encrypted data from the partner encrypted using the communication key; a secure database within the TEE for storing the encrypted data with a storage key and for preventing unauthorized access of the encrypted data within the TEE; and a recommendation engine for decrypting and analyzing the encrypted data to generate recommendations based on the decrypted data.

Abstract: A computer implemented system for controlling access to data associated with an entity includes a data storage device having a computer memory, and one or more processors. The one or more processors are configured for: storing a secret key associated with the entity in a computer memory associated with the entity; upon receiving entity data, storing the entity data in the computer memory; and upon receiving an access grant signal, enabling communication of information relating to the entity data.

Abstract: Aspects of the subject disclosure may include, for example, a network device that comprises a processing system including a processor and a memory storing instructions that, when executed by the processing system, facilitate performance of operations. The operations include obtaining timing advance data regarding a communication device served by the network; the timing advance data is collected by a network element coupled to the network device, and the network element communicates with the communication device using control-plane signaling. The timing advance data is processed using location data regarding the network element to determine a geolocation of the communication device. The geolocation is stored at a storage device; the network device and storage device are included in a secure portion of the network. The geolocation is provided to equipment of a network customer accessing the secure portion of the network via a secure interface. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device in which a processing system detects installation of a subscriber identity module (SIM) on a communication device configured for connection to the network; the SIM includes a radio policy manager (RPM) provided by the network operator to manage network policies. The system also monitors connection of the communication device to the network and communications between the SIM and a processor of the communication device. The RPM determines whether the communication device is compliant with the network policies; if the communication device is not compliant with the network policies, the RPM causes the connection of the communication device to the network to be disabled. Other embodiments are disclosed.

Abstract: A computer implemented system for controlling access to data associated with an entity includes a data storage device having a protected memory region, and one or more processors, at least one of which is operable in the protected memory region. The one or more processors are configured for: storing a secret key associated with the entity in a portion of the protected memory region associated with the entity; upon receiving entity data, storing the entity data in the portion of the protected memory region associated with the entity; and upon receiving an access grant signal, generating a smart contract, the smart contract defining the entity data to be accessed and a recipient of the entity data to be accessed.

Abstract: Internet-of-things (IOT) devices can be identified based on specific behavioral patterns when their identification data is unknown. Previously identified IOT devices with similar behavioral patterns can be used as a baseline from which to compare data that is available about unknown IOT devices. For example, an IOT device can be pooled with a group of IOT devices based on the frequency with which they connect to a wireless network. Additionally, a confidence level of the unknown device being associated with the group of IOT devices can be generated based on such comparison data.

Abstract: Aspects of the subject disclosure may include, for example, a network device that comprises a processing system including a processor and a memory storing instructions that, when executed by the processing system, facilitate performance of operations. The operations include obtaining timing advance data regarding a communication device served by the network; the timing advance data is collected by a network element coupled to the network device, and the network element communicates with the communication device using control-plane signaling. The timing advance data is processed using location data regarding the network element to determine a geolocation of the communication device. The geolocation is stored at a storage device; the network device and storage device are included in a secure portion of the network. The geolocation is provided to equipment of a network customer accessing the secure portion of the network via a secure interface. Other embodiments are disclosed.

Abstract: A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment vary for different users and may change over time (e.g., as a given user moves around or as the HMD slips or otherwise becomes displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes by determining whether features of the eye are at certain vertical positions relative to the HMD. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, and provides feedback on the quality of the fit to the user, and may take actions to reduce or minimize effects of any misalignment.

Abstract: Aspects of the subject disclosure may include, for example, a device in which a processing system detects installation of a subscriber identity module (SIM) on a communication device configured for connection to the network; the SIM includes a radio policy manager (RPM) provided by the network operator to manage network policies. The system also monitors connection of the communication device to the network and communications between the SIM and a processor of the communication device. The RPM determines whether the communication device is compliant with the network policies; if the communication device is not compliant with the network policies, the RPM causes the connection of the communication device to the network to be disabled. Other embodiments are disclosed.

Abstract: Internet-of-things (IOT) devices can be identified based on specific behavioral patterns when their identification data is unknown. Previously identified IOT devices with similar behavioral patterns can be used as a baseline from which to compare data that is available about unknown IOT devices. For example, an IOT device can be pooled with a group of IOT devices based on the frequency with which they connect to a wireless network. Additionally, a confidence level of the unknown device being associated with the group of IOT devices can be generated based on such comparison data.

Abstract: A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment vary for different users and may change over time (e.g., as a given user moves around or as the HMD slips or otherwise becomes displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes by determining whether features of the eye are at certain vertical positions relative to the HMD. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, and provides feedback on the quality of the fit to the user, and may take actions to reduce or minimize effects of any misalignment.