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公开(公告)号：US20220138412A1
公开(公告)日：2022-05-05
申请号：US17574878
申请日：2022-01-13
发明人： Sujay Kumar JAUHAR , Nirupama CHANDRASEKARAN , Elnaz NOURI , Mark J. ENCARNACION , Michael GAMON
IPC分类号： G06F40/186 , G06F3/0484 , G06F9/451 , G06F16/2457
摘要： Aspects of the present disclosure relate to task template generation and social task discovery. In examples, a task template catalog comprises task templates, which may be automatically generated and/or user-submitted, among other examples. Task templates can be reviewed, shared, and curated within the task template catalog. A user may browse the task catalog or search the task catalog for task templates. Once the user selects a task template, a task is generated based on the task template and added to the user's task list. In some examples, aspects of a task template may be customized. For example, a task may comprise parametric or conditional subtasks, thereby enabling a user to further tailor the task template to his or her needs. Thus, the task catalog provides a starting point from which the user can author a task in a task management application.
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公开(公告)号：US20210373943A1
公开(公告)日：2021-12-02
申请号：US16886764
申请日：2020-05-28
摘要： The present disclosure relates to systems and methods for an interactive, intelligent hub built around the completion of a task. This hub brings together resources, information, suggested steps, and other automated assistance to facilitate the completion of the task. AI-based assistance may indicate which steps can be completed by automated processes, and dispatch those processes, or suggest resources to assist in the completion of other steps. The hub displays the current status of the task, and lives until the completion of the task, or abandonment by the user.
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公开(公告)号：US20210004736A1
公开(公告)日：2021-01-07
申请号：US16503001
申请日：2019-07-03
发明人： Elnaz NOURI , Mark J. ENCARNACION , Michael GAMON , Ryen W. WHITE
IPC分类号： G06Q10/06 , G06F9/54 , G06F3/0482
摘要： Aspects of the present disclosure relate to task modification and optimization. In examples, a user provides an indication of a task goal. A set of candidate task templates are identified based on the task goal. The user specifies optimization criteria, and the set of candidate task templates is ranked based on the optimization criteria. Accordingly, at least a part of the ranked set is presented to the user, from which the user selects a task template. In other examples, an optimal task template is determined automatically. In some instances, a user selects a subtask of an existing task to optimize in view of optimization criteria. Accordingly, a set of candidate subtasks is identified. The set of candidate subtasks is ranked according to the optimization criteria, after which a user may select one or more replacement subtasks. As a result, subtasks of the task are replaced according to the selected subtask.
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公开(公告)号：US20210004436A1
公开(公告)日：2021-01-07
申请号：US16502951
申请日：2019-07-03
发明人： Sujay Kumar JAUHAR , Nirupama CHANDRASEKARAN , Elnaz NOURI , Mark J. ENCARNACION , Michael GAMON
IPC分类号： G06F17/24 , G06F9/451 , G06F16/2457 , G06F3/0484
摘要： Aspects of the present disclosure relate to task template generation and social task discovery. In examples, a task template catalog comprises task templates, which may be automatically generated and/or user-submitted, among other examples. Task templates can be reviewed, shared, and curated within the task template catalog. A user may browse the task catalog or search the task catalog for task templates. Once the user selects a task template, a task is generated based on the task template and added to the user's task list. In some examples, aspects of a task template may be customized. For example, a task may comprise parametric or conditional subtasks, thereby enabling a user to further tailor the task template to his or her needs. Thus, the task catalog provides a starting point from which the user can author a task in a task management application.
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公开(公告)号：US20240038226A1
公开(公告)日：2024-02-01
申请号：US17970953
申请日：2022-10-21
发明人： Elnaz NOURI , Swaroop Ranjan MISHRA
CPC分类号： G10L15/1815 , G10L15/22 , G10L15/063 , G10L2015/223 , G10L2015/0638
摘要： Systems and methods relate to executing a task using a machine learning model based on prompt generation and collaborative interactions with a user. The machine language model generating a set of questions based on a task request. The user interactively answers the questions. A task processor generates a set of question-answer pairs based on the questions generated by the machine learning model and the answers given by the user. The machine learning model generates a task specific output based on the set of question-answer pairs. The machine learning model represents a large language model with deep learning. The simple question-and-answer prompts enable non-expert users to instruct the machine learning model with information that is sufficient to execute the task without overwhelming the users with the operations. The machine learning model leverages the answers to execute the task with accuracy, thereby providing efficacy of the prompting technique.
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公开(公告)号：US20220291932A1
公开(公告)日：2022-09-15
申请号：US17197802
申请日：2021-03-10
摘要： In examples, a set of actions performed by a user is identified as an action sequence. If user performance of the same action sequence or similar action sequences exceeds a predetermined threshold, a recommendation to create a macro may be generated. The macro may have one or more associated triggers, such that it may be invoked using voice input or via a user interface, among other examples. A macro may have an associated context in which it applies. In some instances, a trigger used to invoke the macro comprises an indication as to such a context. For example, the macro may be invoked in the context of a document, such that one or more document parts are processed accordingly. As another example, the macro may be invoked to process multiple documents, as may be related in subject matter or associated with the same application.
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公开(公告)号：US20220286313A1
公开(公告)日：2022-09-08
申请号：US17191822
申请日：2021-03-04
发明人： Elnaz NOURI , Ryen WHITE
摘要： Systems and methods are provided for automatically controlling a participant indication request based on a context of a meeting. The controlling of the participant indication request includes automatic lowering of a raised hand. A context determiner determines the context of the meeting based on meeting data including video, audio, background acoustic data, and chat messaging. The context determiner uses a global participant indication model for determining a context that is in commonly used among participants of the meeting. An individual participant indication model captures participant-specific rules of determining a context. A meeting state manager determines a meeting state based on the context. The meeting state includes a host presentation, a participant presentation, a conversation, and a polling. A participant indication controller automatically lowers the raised hand based on a combination of the determined context and the meeting state.
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公开(公告)号：US20220246146A1
公开(公告)日：2022-08-04
申请号：US17163176
申请日：2021-01-29
发明人： Elnaz NOURI
摘要： Systems and methods are provided for determining importance and urgency of a task based on acoustic features of audio input associated with the task. The determining includes classifying the task into one or more classes associated with importance, urgency, and priority of the task. The classification may use a trained machine learning model of acoustic features and embedding for a neural network. The task classifier uses feature acoustics of either or both the foreground and background audio. The feature acoustics include a pitch, a tone, and a volume over a time duration of the audio input. A combination of the acoustic features determines a class associated with the task. The machine learning model includes a regression model of acoustic features over time and a model with embedding for a neural network.
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公开(公告)号：US20240004963A1
公开(公告)日：2024-01-04
申请号：US17854975
申请日：2022-06-30
发明人： Elnaz NOURI
CPC分类号： G06K9/6293 , G06K9/6298 , G06N20/20
摘要： Aspects relate to analyzing multimodal datasets using one or more cross-modal machine learning models. The machine learning models are operable to generate analysis data related to the different data modalities. The analysis data can be used to identify related portions of data in the different modalities. Once these relationships between the different modalities of a data are identified, the relationships can be leveraged to perform various different processes. For example, a first portion of data having a first modality can be used to reconstruct missing or erroneous data from a second modality. The relationship between content stored in the different modalities can further be leveraged to perform compression on multimodal data sets.
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公开(公告)号：US20230110274A1
公开(公告)日：2023-04-13
申请号：US18079193
申请日：2022-12-12
发明人： Elnaz NOURI , Ryen WHITE
摘要： Systems and methods are provided for automatically controlling a participant indication request based on a context of a meeting. The controlling of the participant indication request includes automatic lowering of a raised hand. A context determiner determines the context of the meeting based on meeting data including video, audio, background acoustic data, and chat messaging. The context determiner uses a global participant indication model for determining a context that is in commonly used among participants of the meeting. An individual participant indication model captures participant-specific rules of determining a context. A meeting state manager determines a meeting state based on the context. The meeting state includes a host presentation, a participant presentation, a conversation, and a polling. A participant indication controller automatically lowers the raised hand based on a combination of the determined context and the meeting state.
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