Abstract: An electronic device has pair(s) of conductive plates that is coupled to a housing and is electrically isolated by a dielectric material. The pair(s) of conductive plates is positioned to change relative orientation in relation to mechanical force that deforms the housing. Capacitive driver(s) is electrically coupled to pair(s) of conductive plates. A controller is communicatively coupled to the capacitive driver(s). The controller identifies a first capacitance of the pair(s) of conductive plates associated with the housing being in a normal state. The controller detects, via the capacitor driver(s), a change in capacitance from the first capacitance to a second capacitance of the pair(s) of conductive plates. The controller compares the change in capacitance to a threshold. In response to the change exceeding the threshold, the controller generates a notification.

Abstract: An electronic device includes a capacitive driver that is electrically coupled to a pair of conductive plates coupled to a housing and electrically isolated by a dielectric material. The conductive plates are positioned to change relative orientation in relation to deformation of the housing in a first direction. A controller identifies a first capacitance of the pair of conductive plates associated with the housing being in a normal alignment relative to the first direction. The controller presents an object on a user interface device in a first kinematic state. The controller detects, via the first capacitor driver, a change in capacitance from the first capacitance to a second capacitance of the pair of conductive plates. The controller associates the change to a first user input. The controller presents the object on the user interface device in a second kinematic state based on the first user input.

Abstract: Techniques for artificial intelligence (AI) modules for computation tasks are described, and may be implemented to enable multiple AI modules to be aggregated to form an execution structure (e.g., an execution chain) for performing a computation task. Generally, the described techniques aggregate AI modules based on their respective functions to perform an overall computation task.

Abstract: A user can customize (also referred to as train) an AI module, which includes any of a variety of machine learning systems. The AI module can be used by the device on which the AI module is trained or can be communicated to other devices in the same environment (e.g., the same home). The AI module can also be communicated in a secure and private manner to a device in another environment (e.g., another user's home). To do so, the AI module is encrypted and added to a blockchain, and the blockchain is communicated via a peer-to-peer network to the device in the other environment. The recipient of the blockchain can then decrypt the AI module and use the AI module in that other environment, including further training the AI module for use in that other environment.

Abstract: Systems and methods of managing notifications on a curved display surface of a mobile electronic communications device are provided, wherein the curved display surface includes a front screen area and lateral edge screen areas. A notification is obtained and a holding direction of the device is detected. If the holding direction does not allow display of the notification on the lateral edge screen areas, it is displayed on the front screen area. If the holding direction allows display of the notification on the lateral edge screen areas, it is displayed on an uncovered edge screen area facing the user if the user is in a known direction. Otherwise, the notification is displayed on all edge screen areas. If the one or more edge screens are partially covered, the notification is displayed on the edge screen area having the least coverage.

Abstract: A change in the emotional state of a user of a device is detected, and in response to this change a reason for the change in user emotional state is determined. This determination is made based on both the current user emotional state and context data for the device or user. The device then adapts to the user based on the current emotional state and the reason for the change in user emotional state. This adaptation of the computing device refers to an alteration of the operation of the computing device with a goal of increasing the likelihood of the user being in a good emotional state (e.g., happy, relaxed) and reducing the likelihood of the user being in a bad emotional state (e.g., sad, angry).

Abstract: Techniques for subtask assignment for an artificial intelligence (AI) task are described, and may be implemented to leverage a local set of devices to distribute portions of an AI task between the devices. Generally, the described techniques enable AI task allocation based on a variety of factors, such as device capabilities, device availability, task complexity, and so forth.

Abstract: A system and method of adaptive video interface switching between a mobile electronic communications device and a wearable device entail determining during an ongoing video session via a first one of the devices that an audio or video input or output mechanism on the first device is compromised. It is determined that the audio and video input and output mechanisms on a second of the devices are uncompromised. The video session is then continued using at least one of the audio and video input and output mechanisms on the second device.

Abstract: A system and method of adaptive video interface switching between a mobile electronic communications device and a wearable device entail determining during an ongoing video session via a first one of the devices that an audio or video input or output mechanism on the first device is compromised. It is determined that the audio and video input and output mechanisms on a second of the devices are uncompromised. The video session is then continued using at least one of the audio and video input and output mechanisms on the second device.

Abstract: An electronic device, method, and computer program product provide detecting entry of an image capturing device of the electronic device into an image capture mode. In response to detecting entry, a controller of the electronic device detects, via at least one of: (i) the image capturing device; and (ii) the microphone, a first external input that alerts a subject that an image of the subject is about to be captured by the image capturing device. In response to detecting the first external input, the controller enables the electronic device to monitor for detection by one of: (i) the image capturing device; and (ii) the microphone of a second external input. The second external input is associated with the subject being ready to have an image of the subject captured. In response to detecting the second external input, the controller activates recording of image data via the image capturing device.

Abstract: A system and method of adaptive interface switching in a mobile electronic communications device entails engaging in an audio interface task at the mobile electronic communications device. If during the audio interface task it is detected that at least one microphone or at least one speaker of the mobile electronic communications device is compromised, then the system activates a data link to a wearable communication device associated with a user of the mobile electronic communications device. At least one of a mic and speaker on the wearable communication device is then used to continue the audio interface task.

Abstract: A method includes detecting a keyword within an audio stream. The keyword is one of multiple keywords in a database, in which each of the multiple keywords relates to at least one of multiple domains in the database. The database stores a first confidence weight for each of the multiple keywords that are related to a first domain among the multiple domains. Each first confidence weight indicates a probability that a corresponding keyword relates to the first domain. The method includes determining whether a first confidence weight of the keyword is at least equal to an activation threshold value associated with the first domain. The method includes, in response to the first confidence weight of the keyword meeting the activation threshold value, activating a DS-ASR engine corresponding with the first domain to perform speech-to-text conversion on the audio stream.

Abstract: Content visibility on a computing device is controlled based at least in part on the proximity of a wearable device to the computing device. When the wearable device is in close proximity to the computing device and the computing device is unlocked, the computing device operates in a full content visibility mode. In the full content visibility mode all user-selectable content on the computing device is displayed. When the wearable device is not in close proximity to the computing device and the computing device is unlocked, the computing device operates in a reduced content visibility mode. In the reduced content visibility mode content visibility on the computing device screen is reduced, such as by limiting which applications (e.g., application icons or widgets) are displayed.

Abstract: An electronic device includes a user interface, a wireless communication device, and one or more processors. The wireless communication device establishes a paired communication connection with at least one companion electronic device. The wireless communication device receives one or more electronic communications from the at least one companion electronic device. The one or more processors determine, from the one or more electronic communications, whether an environment of the electronic device is a public environment or a private environment. Where the environment is the private environment, the one or more processors cause the user interface of the electronic device to enter a normal mode of operation. Where the environment is the public environment, the one or more processors cause the user interface of the electronic device to enter a privacy mode of operation.

Abstract: Systems and methods of managing notifications on a curved display surface of a mobile electronic communications device are provided, wherein the curved display surface includes a front screen area and lateral edge screen areas. A notification is obtained and a holding direction of the device is detected. If the holding direction does not allow display of the notification on the lateral edge screen areas, it is displayed on the front screen area. If the holding direction allows display of the notification on the lateral edge screen areas, it is displayed on an uncovered edge screen area facing the user if the user is in a known direction. Otherwise, the notification is displayed on all edge screen areas. If the one or more edge screens are partially covered, the notification is displayed on the edge screen area having the least coverage.

Abstract: Systems and methods are provided for generating a personalizable user interface (UI) component layout on a curved screen on a mobile electronic communication device, the curved screen having a front screen display surface and a plurality of edge screen display surfaces. In an example, the described technique entails detecting that a device user has opened an application on the mobile electronic communication device, determining whether the application opened by the user supports placement of UI components on edge screen display surfaces, and determining a coverage area on the front screen display surface and the edge screen display surfaces areas when the application supports placement of UI components on edge screen display surfaces, and estimating a user hand size based on the determined coverage area, and placing one or more UI components on an edge screen display surface to be reached by the user based on the estimated hand size.

Abstract: A system and method of adaptive video interface switching between a mobile electronic communications device and a wearable device entail determining during an ongoing video session via a first one of the devices that an audio or video input or output mechanism on the first device is compromised. It is determined that the audio and video input and output mechanisms on a second of the devices are uncompromised. The video session is then continued using at least one of the audio and video input and output mechanisms on the second device.

Abstract: An Internet-of-things device can detect, using one or more sensors, a condition exceeding a predefined condition threshold. If the condition is occurring at a location outside of an area monitored by the sensors of the Internet-of-things device, a communication device can transmit an investigation request to an unmanned aircraft. The investigation request can include a request to monitor an environment at the location. The Internet-of-things device can then receive an event report identifying whether a class of event is or was occurring at the location from the unmanned aircraft. The event report can include one or more event labels. The Internet-of-things device can transform, with an artificial intelligence engine, the one or more event labels into machine learned knowledge in an Internet-of-things knowledge domain.

Abstract: Systems and methods of implementing privacy-based user behavior modification in a mobile electronic communications device entail receiving a spoken user request at the mobile electronic communications device, determining a request privacy level and an environmental privacy level at the mobile electronic communications device, the environmental privacy level being one of private and non-private. The device then maintains communication privacy based on the request privacy level and the environmental privacy level.

Abstract: A method of manufacturing an apparatus is provided. The apparatus is formed on a wafer or a package, The apparatus includes a polynomial generator, a plurality of matrix generators connected to an output of the polynomial generator, and a convolution generator connected to an output of the plurality of matrix generators. The apparatus is tested using one or more electrical to optical converters, one or more optical splitters, and one or more optical to electrical converters.