Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to optimizing engagement with a display during digital assistant-performed operations in response to a received command. The digital assistant generates an overlay having user interface elements that present information determined to be relevant to a user based on the received command and contextual data. The overlay is presented over the underlying operations performed on corresponding applications to mask the visible steps of the operations being performed. In this way, the digital assistant optimizes display resources that are typically rendered useless during the processing of digital assistant-performed operations.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to providing talk back automation for applications installed on a mobile device. To do so actions (e.g., talk back features) can be created, via the digital assistant, by recording a series of events that are typically provided by a user of the mobile device when manually invoking the desired action. At a desired state, the user may select an object that represents the output of the application. The recording embodies the action and can be associated with a series of verbal commands that the user would typically announce to the digital assistant when an invocation of the action is desired. In response, the object is verbally communicated to the user via the digital assistant, a different digital assistant, or even another device. Alternatively, the object may be communicated to the same application or another application as input.

Abstract: Embodiments facilitate the intuitive creation, maintenance, and distribution of action datasets that include computing events or tasks that can be reproduced when a command is received by a digital assistant. The digital assistant can generate new action datasets, on-board new action datasets, and receive new action datasets or updates to existing action datasets locally or via a digital assistant server, among other things. The digital assistant server can also receive action datasets, maintain action datasets, and distribute action datasets to one or more digital assistants, among other things.

Abstract: A device can screen swallowing safety and swallowing efficiency. The device includes a processor configured to receive accelerometry data, determine a an A-P and S-I signal summed spectrogram from the accelerometry data, and perform one or more of identifying a missing swallow, identifying that the data was clipped from the start, identifying that the data was clipped from the end, or identifying that the data contains noise. The device can have a user interface configured to provide one or more outputs including at least one of audio or graphics based on these identifications. If the data does not contain these signal quality issues, the device can compare the data against preset classification criteria defined for each of swallowing safety and swallowing efficiency and thus classify each of the swallowing events with a swallowing safety classification and a swallowing efficiency classification.

Abstract: Embodiments facilitate the intuitive creation, maintenance, and distribution of action datasets that include computing events or tasks that can be reproduced when a command is received by a digital assistant. The digital assistant can generate new action datasets, on-board new action datasets, and receive new action datasets or updates to existing action datasets locally or via a digital assistant server, among other things. The digital assistant server can also receive action datasets, maintain action datasets, and distribute action datasets to one or more digital assistants, among other things.

Abstract: Embodiments described herein are generally directed towards systems and methods relating to a crowd-sourced digital assistant and system. In particular, embodiments facilitate the intuitive creation and distribution of action datasets that include computing events or tasks that can be reproduced when an associated command, stored in an action dataset, is determined received by a digital assistant device. The digital assistant device described herein can generate new action datasets, on-board new action datasets, and receive new action datasets or updates to existing action datasets. Each digital assistant device in the described system can participate in the building of action datasets, so as to crowd-source a dialect that can be understood by a digital assistant device.

Abstract: Embodiments described herein are generally directed towards systems and methods relating to a crowd-sourced digital assistant and system. In particular, embodiments facilitate the intuitive creation and distribution of action datasets that include computing events or tasks that can be reproduced when an associated command, stored in an action dataset, is determined received by a digital assistant device. The digital assistant device described herein can generate new action datasets, on-board new action datasets, and receive new action datasets or updates to existing action datasets. Each digital assistant device in the described system can participate in the building of action datasets, so as to crowd-source a dialect that can be understood by a digital assistant device.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to optimizing engagement with a display during digital assistant-performed operations in response to a received command. The digital assistant generates an overlay having user interface elements that present information determined to be relevant to a user based on the received command and contextual data. The overlay is presented over the underlying operations performed on corresponding applications to mask the visible steps of the operations being performed. In this way, the digital assistant optimizes display resources that are typically rendered useless during the processing of digital assistant-performed operations.

Abstract: Synthetic nutritional formulations, particularly milk based compositions, for infants and children are especially adapted to the age of the child. They are adapted to fulfill the nutritional needs of the child, ensuring balanced growth and development and thereby reducing the risk of obesity.

Abstract: Embodiments of the present invention are directed to action recipes for a crowdsourced digital assistant. Users can define an action recipe by recording a set of inputs across one or more applications, by providing multiple sub-commands in a single on-the-fly command, by providing one or more associated commands, or otherwise. An action recipe dataset is generated, and stored and indexed on a user device and/or on an action cloud server. As such, any user can invoke an action recipe by providing an associated command to a crowdsourced digital assistant application on a user device. The crowdsourced digital assistant searches for a matching command on the user device and/or the action cloud server, and if a match is located, the corresponding action recipe dataset is accessed, and the crowdsourced digital assistant emulates the actions in the action recipe on the user device.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to optimizing engagement with a display during digital assistant-performed operations in response to a received command. The digital assistant generates an overlay having user interface elements that present information determined to be relevant to a user based on the received command and contextual data. The overlay is presented over the underlying operations performed on corresponding applications to mask the visible steps of the operations being performed. In this way, the digital assistant optimizes display resources that are typically rendered useless during the processing of digital assistant-performed operations.

Abstract: Synthetic nutritional compositions for infants and young children up to the age of thirty-six months, particularly infant formulae and growing-up milks, vary according to gender and the age of the infant or young child. The compositions have been designed to ensure balanced growth and to prevent obesity in in-fancy and later in life.

Abstract: The invention concerns synthetic nutritional formulations, particularly milk based compositions, for infants and children. The compositions are especially adapted to the age of the child, younger or older than three months. The invention further relates to administration of these compositions for promoting the healthy establishment of cognitive function in infant boys and girls and in young boys and girls up to the age of thirty-six months.

Abstract: The invention concerns synthetic nutritional formulations, particularly milk based compositions, for infants and children. The compositions are especially adapted to the age of the child. They are adapted to fulfill the nutritional needs of the child, ensuring balanced growth and development and thereby reducing the risk of obesity.

Abstract: Embodiments of the present invention are directed to action recipes for a crowdsourced digital assistant. Users can define an action recipe by recording a set of inputs across one or more applications, by providing multiple sub-commands in a single on-the-fly command, by providing one or more associated commands, or otherwise. An action recipe dataset is generated, and stored and indexed on a user device and/or on an action cloud server. As such, any user can invoke an action recipe by providing an associated command to a crowdsourced digital assistant application on a user device. The crowdsourced digital assistant searches for a matching command on the user device and/or the action cloud server, and if a match is located, the corresponding action recipe dataset is accessed, and the crowdsourced digital assistant emulates the actions in the action recipe on the user device.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to providing talk back automation for applications installed on a mobile device. To do so actions (e.g., talk back features) can be created, via the digital assistant, by recording a series of events that are typically provided by a user of the mobile device when manually invoking the desired action. At a desired state, the user may select an object that represents the output of the application. The recording embodies the action and can be associated with a series of verbal commands that the user would typically announce to the digital assistant when an invocation of the action is desired. In response, the object is verbally communicated to the user via the digital assistant, a different digital assistant, or even another device. Alternatively, the object may be communicated to the same application or another application as input.

Abstract: Embodiments facilitate the intuitive creation, maintenance, and distribution of action datasets that include computing events or tasks that can be reproduced when a command is received by a digital assistant. The digital assistant can generate new action datasets, on-board new action datasets, and receive new action datasets or updates to existing action datasets locally or via a digital assistant server, among other things. The digital assistant server can also receive action datasets, maintain action datasets, and distribute action datasets to one or more digital assistants, among other things.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to providing talk back automation for applications installed on a mobile device. To do so actions (e.g., talk back features) can be created, via the digital assistant, by recording a series of events that are typically provided by a user of the mobile device when manually invoking the desired action. At a desired state, the user may select an object that represents the output of the application. The recording embodies the action and can be associated with a series of verbal commands that the user would typically announce to the digital assistant when an invocation of the action is desired. In response, the object is verbally communicated to the user via the digital assistant, a different digital assistant, or even another device. Alternatively, the object may be communicated to the same application or another application as input.

Abstract: Embodiments described herein are generally directed towards systems and methods relating to a crowd-sourced digital assistant system and related methods. In particular, embodiments facilitate the intuitive creation, maintenance, and distribution of action datasets that include computing events or tasks that can be reproduced when an associated command, stored in an action dataset, is determined received by a digital assistant device. The digital assistant device described herein can generate new action datasets, on-board new action datasets to a remote server, and receive new action datasets or updates to existing action datasets from the remote server. The digital assistant server described herein can receive action datasets, maintain action datasets, and distribute action datasets to one or more digital assistant devices.

Abstract: Embodiments described herein are generally directed towards systems and methods relating to a crowd-sourced digital assistant system and techniques for disambiguating commands based on personalized usage of a digital assistant device, among other things. In various embodiments, the digital assistant device can use personal data, collected device usage data, and other types of collected contextual information, to disambiguate received commands for the proper selection and execution of operations on the digital assistant device. The digital assistant can process and interpret ambiguous commands and even unique user dialects without requiring extensive training to recognize and act on the received commands, even if the particular phraseology of the command has not previously been encountered by the digital assistant.