Abstract: An interaction assistance system for a user computing device can operate as an intermediate layer in a human-machine interface to receive user action data that describes user actions with a user computing device, interpret the actions in context, and intelligently instruct or command the host system to perform tasks associated with the user action data. An example interaction assistance system can enable faster and more efficient human-machine interfaces by simplifying a number or complexity of inputs to perform a given task.

Abstract: A web browsing application can implement a vector database to store session data. A web browsing application can automatically embed loaded web content into an embedded data store that maintains session data for a number of web sessions. A user can query the web browser using simple instructions. The web browser can interpret the instructions and use the embedded data store to quickly search across multiple modalities of embedded data to retrieve relevant results. The web browser can use machine-learned models to answer queries or perform other tasks by performing vector-based queries over the content of visited web data.

Abstract: An example system provides real-time input conditioning for processing queries with machine-learned systems and models. Input conditioning can include processing an initial or raw user input and intelligently curating context data and instructions for input to a machine-learned model to perform a task associated with the user action. Input conditioning can significantly improve the performance of a machine-learned model compared to simply passing raw user inputs.

Abstract: The present disclosure is directed to prediction and assistive techniques using a multi-region graphical keyboard interface. In particular, the system can present, on a display of a computing device, a graphical keyboard having a plurality of key regions. The plurality of key regions can include a first key region having a first set of keys and a second key region having a second set of keys. Additionally, the system can receive a first input selecting a first selected region from the plurality of key regions. Moreover, the system can determine, based at least in part on the first input, a first suggestion and a second suggestion. Furthermore, in response to the first input, the system can present, on the display of the computing device, an updated graphical keyboard having the plurality of key regions and a suggestion region. The suggestion region includes the first suggestion and the second suggestion.

Abstract: The present disclosure is directed to prediction and assistive techniques using a multi-region graphical keyboard interface. In particular, the system can present, on a display of a computing device, a graphical keyboard having a plurality of key regions. The plurality of key regions can include a first key region having a first set of keys and a second key region having a second set of keys. Additionally, the system can receive a first input selecting a first selected region from the plurality of key regions. Moreover, the system can determine, based at least in part on the first input, a first suggestion and a second suggestion. Furthermore, in response to the first input, the system can present, on the display of the computing device, an updated graphical keyboard having the plurality of key regions and a suggestion region. The suggestion region includes the first suggestion and the second suggestion.

Abstract: Methods, computing systems, and technology for generating an artificial intelligent chatbot that specializes in a specific domain are present. The system can receive, from a user device of a first user, a request for a chatbot that specializes in a specific domain. The request can include domain-specific data. Additionally, the system can select, based on the domain-specific data, a selected chatbot for the specific domain from a plurality of pretrained chatbot. The selected chatbot can be associated with a pretrained machine-learned model. Moreover, the system can access, based on the selected chatbot and the request, user-specific data. Furthermore, the system can modify, based on the user-specific data, one or more parameters of the pretrained machine-learned model to generate a customized machine-learned model. Subsequently, in response to the request, the system can deploy an expert chatbot having the customized machine-learned model to interact with the first user.

Abstract: The present disclosure is directed to prediction and assistive techniques using a multi-region graphical keyboard interface. In particular, the system can present, on a display of a computing device, a graphical keyboard having a plurality of key regions. The plurality of key regions can include a first key region having a first set of keys and a second key region having a second set of keys. Additionally, the system can receive a first input selecting a first selected region from the plurality of key regions. Moreover, the system can determine, based at least in part on the first input, a first suggestion and a second suggestion. Furthermore, in response to the first input, the system can present, on the display of the computing device, an updated graphical keyboard having the plurality of key regions and a suggestion region. The suggestion region includes the first suggestion and the second suggestion.

Abstract: A computer-implemented method for generating dynamic content. The method can include receiving, from an output of one or more machine-learned models, a first generated image. The first generated image can be generated based on a user query. Additionally, the method can include processing the first generated image, using the one or more machine-learned models, to determine a plurality of objects in the first generated image. Moreover, the method can include determining, using the one or more machine-learned models, a subset of actions associated with a first object in the plurality of objects. Furthermore, the method can include receiving a user input selecting a first action from the subset of actions associated with the first object. Subsequently, the method can include modifying the first object in the first generated image in response to the selection of the first action.

Abstract: Systems and methods associated for providing haptic feedback are provided. For instance, data indicative of a feedback scheme associated with an input mechanism can be accessed. The feedback scheme includes one or more feedback points associated with a position of a moveable portion of the input mechanism. The input mechanism is configured to change positions responsive to an actuation of the input mechanism by a user. One or more positions of the moveable portion of the input mechanism can be determined as the input mechanism is actuated by the user. Operation of one or more feedback motors can be controlled to provide feedback to the user in accordance with the feedback scheme based at least in part on the determined one or more positions of the input mechanism.

Abstract: Systems and methods associated for providing haptic feedback are provided. For instance, data indicative of a feedback scheme associated with an input mechanism can be accessed. The feedback scheme includes one or more feedback points associated with a position of a moveable portion of the input mechanism. The input mechanism is configured to change positions responsive to an actuation of the input mechanism by a user. One or more positions of the moveable portion of the input mechanism can be determined as the input mechanism is actuated by the user. Operation of one or more feedback motors can be controlled to provide feedback to the user in accordance with the feedback scheme based at least in part on the determined one or more positions of the input mechanism.

Abstract: Systems and methods associated with modular computing environments are provided. For instance, a modular computing environment can include a control entity including one or more processing devices. The modular computing environment can include one or more modular components directly or indirectly coupled to the control entity. The one or more modular components can be configured to receive a module specifying one or more instructions to be performed by an external device. The one or more modular components include one or more processing devices. Each modular component is configured to determine state data associated with the modular component based at least in part on the received module and to provide the state data to the control entity. The state data includes an identification signature of the received module and a configuration context of the modular component within the modular computing environment.

Abstract: Systems and methods associated for providing haptic feedback are provided. For instance, data indicative of a feedback scheme associated with an input mechanism can be accessed. The feedback scheme includes one or more feedback points associated with a position of a moveable portion of the input mechanism. The input mechanism is configured to change positions responsive to an actuation of the input mechanism by a user. One or more positions of the moveable portion of the input mechanism can be determined as the input mechanism is actuated by the user. Operation of one or more feedback motors can be controlled to provide feedback to the user in accordance with the feedback scheme based at least in part on the determined one or more positions of the input mechanism.

Abstract: Systems and methods associated with modular computing environments are provided. For instance, a modular computing environment can include a control entity including one or more processing devices. The modular computing environment can include one or more modular components directly or indirectly coupled to the control entity. The one or more modular components can be configured to receive a module specifying one or more instructions to be performed by an external device. The one or more modular components include one or more processing devices. Each modular component is configured to determine state data associated with the modular component based at least in part on the received module and to provide the state data to the control entity. The state data includes an identification signature of the received module and a configuration context of the modular component within the modular computing environment.

Abstract: Systems and methods associated for providing haptic feedback are provided. For instance, data indicative of a feedback scheme associated with an input mechanism can be accessed. The feedback scheme includes one or more feedback points associated with a position of a moveable portion of the input mechanism. The input mechanism is configured to change positions responsive to an actuation of the input mechanism by a user. One or more positions of the moveable portion of the input mechanism can be determined as the input mechanism is actuated by the user. Operation of one or more feedback motors can be controlled to provide feedback to the user in accordance with the feedback scheme based at least in part on the determined one or more positions of the input mechanism.