Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

Abstract: Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.

Abstract: Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.

Abstract: Hot-word free adaptation of one or more function(s) of an automated assistant. Sensor data, from one or more sensor components of an assistant device that provides an automated assistant interface (graphical and/or audible), is processed to determine occurrence and/or confidence metric(s) of various attributes of a user that is proximal to the assistant device. Whether to adapt each of one or more of the function(s) of the automated assistant is based on the occurrence and/or the confidence of one or more of the various attributes. For example, certain processing of at least some of the sensor data can be initiated, such as initiating previously dormant local processing of at least some of the sensor data and/or initiating transmission of at least some of the audio data to remote automated assistant component(s).

Abstract: Hot-word free adaptation of one or more function(s) of an automated assistant. Sensor data, from one or more sensor components of an assistant device that provides an automated assistant interface (graphical and/or audible), is processed to determine occurrence and/or confidence metric(s) of various attributes of a user that is proximal to the assistant device. Whether to adapt each of one or more of the function(s) of the automated assistant is based on the occurrence and/or the confidence of one or more of the various attributes. For example, certain processing of at least some of the sensor data can be initiated, such as initiating previously dormant local processing of at least some of the sensor data and/or initiating transmission of at least some of the audio data to remote automated assistant component(s).

Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

Abstract: Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.

Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

Abstract: Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.

Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

Abstract: Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.

Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

Abstract: Hot-word free adaptation of one or more function(s) of an automated assistant. Sensor data, from one or more sensor components of an assistant device that provides an automated assistant interface (graphical and/or audible), is processed to determine occurrence and/or confidence metric(s) of various attributes of a user that is proximal to the assistant device. Whether to adapt each of one or more of the function(s) of the automated assistant is based on the occurrence and/or the confidence of one or more of the various attributes. For example, certain processing of at least some of the sensor data can be initiated, such as initiating previously dormant local processing of at least some of the sensor data and/or initiating transmission of at least some of the audio data to remote automated assistant component(s).

Abstract: A method for designing a system on a target device utilizing programmable logic devices (PLDs) includes generating options for utilizing resources on the PLDs in response to user specified constraints. The options for utilizing the resources on the PLDs are refined independent of the user specified constraints.

Abstract: A method for designing a system on a target device utilizing programmable logic devices (PLDs) includes generating options for utilizing resources on the PLDs in response to user specified constraints. The options for utilizing the resources on the PLDs are refined independent of the user specified constraints.

Abstract: A method for designing a system on a programmable logic device (PLD) is disclosed. Routing resources are selected for a user specified signal on the PLD in response to user specified routing constraints. Routing resources are selected for a non-user specified signal on the PLD without utilizing the user specified routing constraints.

Abstract: A method for designing a system on a programmable logic device (PLD) is disclosed. Routing resources are selected for a user specified signal on the PLD in response to user specified routing constraints. Routing resources are selected for a non-user specified signal on the PLD without utilizing the user specified routing constraints.

Abstract: A method for designing a system on a target device utilizing programmable logic devices (PLDs) includes generating options for utilizing resources on the PLDs in response to user specified constraints. The options for utilizing the resources on the PLDs are refined independent of the user specified constraints.

Abstract: A method for designing a system on a target device utilizing programmable logic devices (PLDs) includes generating options for utilizing resources on the PLDs in response to user specified constraints. The options for utilizing the resources on the PLDs are refined independent of the user specified constraints.