This publication describes techniques for setting context-based reminders on a computing device responsive to receiving user input. A user triggers the Reminder Manager on the lock screen of a computing device to input information (e.g., text, audio, image) relevant to a desired reminder. The Reminder Manager receives the input, determines context associated with the input, generates a prediction of a reminder desired by the user based on the input and context, and prompts the user of the reminder at the right time. A machine-learned model implemented on the computing device may use semantic contextual understanding to determine the context of the input. The Reminder Manager then creates a reminder on the computing device that best meets the user’s needs. At the right time, the computing device presents the reminder to the user along with the input originally provided.
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N/A, "Techniques to Quickly Save Reminders and Be Reminded at the Right Time", Technical Disclosure Commons, (November 04, 2020)