Samsung Electronics Co., Ltd.

Julia Wong

Sean O'Brien

Erick Wong

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.

Detecting anomalous events using a microcontroller

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.

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Burnaby, Canada

Julia Wong