Trichard, Louis

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Implementations set forth herein relate to an automated assistant that is responsive to spoken utterances spoken by multiple different users simultaneously, or otherwise within a narrow window of time, in furtherance of initializing one or more actions. For instance, when a primary user is interacting with an automated assistant, a secondary user may also provide a spoken utterance. In response, the automated assistant can selectively determine whether any input from the secondary user should affect a request from the primary user. In some instances, the automated assistant can elect to either disregard the secondary input, separately respond to the secondary input, or use some amount of content of the secondary input to further the request from the primary user. Incorporation of secondary input when fulfilling a primary request can be fluidly performed to resemble human conversation and eliminate any unnecessary engagement between the automated assistant and the users.

Implementations set forth herein relate to an automated assistant that can initialize execution of an assistant command associated with an interpretation that is predicted to be responsive to a user input, while simultaneously providing suggestions for alternative assistant command(s) associated with alternative interpretation(s) that is/are also predicted to be responsive to the user input. The alternative assistant command(s) that are suggested can be selectable such that, when selected, the automated assistant can pivot from executing the assistant command to initializing execution of the selected alternative assistant command(s). Further, the alternative assistant command(s) that are suggested can be partially fulfilled prior to any user selection thereof. Accordingly, implementations set forth herein can enable the automated assistant to quickly and efficiently pivot between assistant commands that are predicted to be responsive to the user input.

Methods, systems and apparatus are described for estimating titer of immunoglobulin single variable domains (ISVDs). The method includes: receiving an ISVD sequence dataset comprising data representative of at least one ISVD sequence; processing the received ISVD sequence dataset with a protein large language model configured for generating an ISVD embeddings dataset; processing the ISVD embeddings dataset with a ML model configured for generating an estimated ISVD titer value for each ISVD sequence of the ISVD sequence dataset based on the ISVD embeddings dataset input; and outputting data representative of the ISVD titer values corresponding to the ISVD sequence dataset for downstream processing.

The present disclosure describes apparatuses and techniques of adaptive PLMN management for varying network conditions. In some aspects, a PLMN manager (144) of a user equipment (UE, 102) searches, as part of a registration procedure, a data repository of PLMN information that includes a PLMN (104, 106) blocked from registration for a duration of time and determines that the PLMN is blocked due to a signal-related condition with a cell (110, 112) of the PLMN (e.g., weak signal). The PLMN manager (144) then determines, during the duration of time, that the signal-related condition between the UE (102) and the cell (110, 112) has improved. In response to the improvement, the PLMN manager (144) unblocks the PLMN (104, 106) before expiration of the duration of time. By so doing, the UE (102) may reattempt registration with the unblocked PLMN (104, 106) at least once before the duration of time expires, which may allow the UE to register more quickly and reestablish network services.

A method (500) includes obtaining proximity information (250) for each of a plurality of assistant-enabled devices (210) within an environment (32) of a user device (200). Each assistant-enabled device is controllable by an assistant application (106) to perform a respective set of available actions (120) associated with the assistant-enabled device. For each assistant-enabled device, the method also includes determining a proximity score (260) based on the proximity information indicating a proximity estimation of the corresponding assistant-enabled device relative to the user device. The method further includes generating, using the proximity scores determined for the assistant-enabled devices, a ranked list (310) of candidate assistant-enabled devices, and for each corresponding assistant-enabled device in the ranked list, displaying, in a graphical user interface (GUI) (400), a respective set of controls (220) for performing the respective set of actions associated with the corresponding assistant-enabled device.

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …