Abstract: The present disclosure describes systems and methods that apply artificial intelligence to augmented reality for enhanced user experience. A sensor, such as a camera, on a mobile phone can capture output data of a laptop computer or other computing device, such as a user interface. The captured image can be assessed by the mobile phone to determine an intent of a user and to display a three dimensional rendering, such as an avatar, on the mobile phone overlaid on top of the user interface of the laptop. The avatar can help navigate the user, such as pointing to areas of a webpage of interest, or inviting the user to scroll down on a webpage to a portion of the webpage that may not be in current view.

Abstract: The present disclosure describes systems and methods that apply artificial intelligence to augmented reality for enhanced user experience. A sensor, such as a camera, on a mobile phone can capture output data of a laptop computer or other computing device, such as a user interface. The captured image can be assessed by the mobile phone to determine an intent of a user and to display a three dimensional rendering, such as an avatar, on the mobile phone overlaid on top of the user interface of the laptop. The avatar can help navigate the user, such as pointing to areas of a webpage of interest, or inviting the user to scroll down on a webpage to a portion of the webpage that may not be in current view.

Abstract: The disclosure relates to a trust heuristic model for reducing a control load in an IoT resource access network. For example, an authenticating node may challenge a client node that requests access to a resource and grant the access if the client node correctly responds to the challenge or alternatively deny the access if the client node incorrectly responds to the challenge. Furthermore, based on the response to the challenge, the client node may be assigned a trust level, which may be dynamically updated based on successive challenge-and-response exchanges and/or interactions with other IoT network nodes. For example, to reduce the resource access control load, subsequent challenge-and-response intervals may be increased or eliminated if the client node correctly responds to successive challenges over time, while client nodes that incorrectly respond to successive challenges over time may be blocked from accessing the resource or banned from the IoT network.

Abstract: The disclosure relates to a trust heuristic model for reducing a control load in an IoT resource access network. For example, an authenticating node may challenge a client node that requests access to a resource and grant the access if the client node correctly responds to the challenge or alternatively deny the access if the client node incorrectly responds to the challenge. Furthermore, based on the response to the challenge, the client node may be assigned a trust level, which may be dynamically updated based on successive challenge-and-response exchanges and/or interactions with other IoT network nodes. For example, to reduce the resource access control load, subsequent challenge-and-response intervals may be increased or eliminated if the client node correctly responds to successive challenges over time, while client nodes that incorrectly respond to successive challenges over time may be blocked from accessing the resource or banned from the IoT network.