Abstract: In one embodiment, a method performed by a microcontroller of an electronic device includes accessing one or more real-time sensor data associated with one or more sensors of the electronic device, determining, by a machine-learning model running on the microcontroller, that an anomalous event has occurred on the electronic device by processing the one or more real-time sensor data with the machine-learning model, and sending, upon the determination that the anomalous event has occurred, a notification regarding the anomalous event to an application running on the electronic device.

Abstract: Various embodiments discussed herein are directed to improving existing technologies by enabling users to share content items directly from an operating system component, with little to no user interface input requirements at the underlying communications application. For instance, some embodiments receive an indication that a mouse pointer is hovering over an operating system taskbar icon and automatically produce a flyout window so that a user can share a currently opened application page to other users via a selection of a button within the flyout window. Such application page may be shared via a single selection at the flyout window or an additional “are you sure” or confirmation step. In this way, excessive drilling, navigation, and other user input at the application is reduced and simplified, thereby improving the user experience, content sharing accuracy, and computer resource consumption, among other improvements.

Abstract: In one embodiment, a method performed by a microcontroller of an electronic device includes accessing one or more real-time sensor data associated with one or more sensors of the electronic device, determining, by a machine-learning model running on the microcontroller, that an anomalous event has occurred on the electronic device by processing the one or more real-time sensor data with the machine-learning model, and sending, upon the determination that the anomalous event has occurred, a notification regarding the anomalous event to an application running on the electronic device.

Abstract: An artificial intelligence (AI) method includes generating a first musical interaction behavioral model. The first musical interaction behavioral model causes an interactive electronic device to perform a first set of musical operations and a first set of motional operations. The AI method further includes receiving user inputs received in response to the performance of the first set of musical operations and the first set of motional operations and determining a user learning progression level based on the user inputs. In response to determining that the user learning progression level is above a threshold, the AI method includes generating a second musical interaction behavioral model. The second musical interaction behavioral model causes the interactive electronic device to perform a second set of musical operations and a second set of motional operations. The AI method further includes performing the second set of musical operations and the second set of motional operations.

Abstract: An artificial intelligence (AI) method includes generating a first musical interaction behavioral model. The first musical interaction behavioral model causes an interactive electronic device to perform a first set of musical operations and a first set of motional operations. The AI method further includes receiving user inputs received in response to the performance of the first set of musical operations and the first set of motional operations and determining a user learning progression level based on the user inputs. In response to determining that the user learning progression level is above a threshold, the AI method includes generating a second musical interaction behavioral model. The second musical interaction behavioral model causes the interactive electronic device to perform a second set of musical operations and a second set of motional operations. The AI method further includes performing the second set of musical operations and the second set of motional operations.