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公开(公告)号：US10699708B2
公开(公告)日：2020-06-30
申请号：US15961393
申请日：2018-04-24
IPC分类号： G10L15/22 , G10L25/63 , G10L15/18 , G06F16/901
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a conversation monitoring system. In one aspect, a method includes receiving a conversation stream generated from a conversation between a user of a platform and a current robotic agent, where the current robotic agent is one of a plurality of robotic agents servicing the platform; processing the conversation stream to identify characteristics of the conversation; extracting a conversation knowledge graph that includes a plurality of first nodes that each correspond a concept discussed in the conversation; identifying a state change in the conversation from the identified characteristics of the conversation; merging the conversation knowledge graph with a domain knowledge graph into a merged knowledge graph; and replacing the current robotic agent with a replacement robotic agent from the robotic agents, the replacement robotic agent selected based on the percentage matching value of the merged knowledge graph.
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公开(公告)号：US20210390431A1
公开(公告)日：2021-12-16
申请号：US17460674
申请日：2021-08-30
IPC分类号： G06N5/04 , G06N3/00 , G06F16/901
摘要： Implementations include providing, by the PKG platform, an initial knowledge graph based on user-specific data associated with a user, and a domain-specific knowledge graph, receiving, by the PKG platform, data representative of at least one answer provided from the user to a respective question, providing, by the PKG platform, an expanded knowledge graph based on the initial knowledge graph, the expanded knowledge graph including one or more nodes and respective edges based on the data, generating, by the PKG platform, a weighted knowledge graph based a groundtruth knowledge graph, and a targeted knowledge graph, the groundtruth knowledge graph including one or more true answers, and the targeted knowledge graph including the at least one answer provided from the user, and generating, by the PKG platform, the hyper-personalized knowledge graph (hpKG) based on the weighted knowledge graph, the hpKG being unique to the user within a domain.
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公开(公告)号：US20200074319A1
公开(公告)日：2020-03-05
申请号：US16117181
申请日：2018-08-30
摘要： Implementations include providing, by the PKG platform, an initial knowledge graph based on user-specific data associated with a user, and a domain-specific knowledge graph, receiving, by the PKG platform, data representative of at least one answer provided from the user to a respective question, providing, by the PKG platform, an expanded knowledge graph based on the initial knowledge graph, the expanded knowledge graph including one or more nodes and respective edges based on the data, generating, by the PKG platform, a weighted knowledge graph based a groundtruth knowledge graph, and a targeted knowledge graph, the groundtruth knowledge graph including one or more true answers, and the targeted knowledge graph including the at least one answer provided from the user, and generating, by the PKG platform, the hyper-personalized knowledge graph (hpKG) based on the weighted knowledge graph, the hpKG being unique to the user within a domain.
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公开(公告)号：US11948099B2
公开(公告)日：2024-04-02
申请号：US17460674
申请日：2021-08-30
IPC分类号： G06N5/04 , G06F16/901 , G06N3/006
CPC分类号： G06N5/04 , G06F16/9024 , G06N3/006
摘要： Implementations include providing, by the PKG platform, an initial knowledge graph based on user-specific data associated with a user, and a domain-specific knowledge graph, receiving, by the PKG platform, data representative of at least one answer provided from the user to a respective question, providing, by the PKG platform, an expanded knowledge graph based on the initial knowledge graph, the expanded knowledge graph including one or more nodes and respective edges based on the data, generating, by the PKG platform, a weighted knowledge graph based a groundtruth knowledge graph, and a targeted knowledge graph, the groundtruth knowledge graph including one or more true answers, and the targeted knowledge graph including the at least one answer provided from the user, and generating, by the PKG platform, the hyper-personalized knowledge graph (hpKG) based on the weighted knowledge graph, the hpKG being unique to the user within a domain.
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公开(公告)号：US10262079B1
公开(公告)日：2019-04-16
申请号：US16141636
申请日：2018-09-25
发明人： Luca Costabello , Christophe Dominique Marie Gueret , Freddy Lecue , Jeremiah Hayes , Nicholas McCarthy
摘要： A device may receive individual information associated with individual activities of an individual, and may aggregate the individual information, based on a time period, to generate aggregated individual information. The device may identify patterns in the aggregated individual information, and may determine states for the patterns based on state information associated with activities capable of being performed by individuals. The device may generate a sequential knowledge graph based on modifying a knowledge graph with the states and adding a sequence of activities to the knowledge graph, and may determine embeddings for the individual activities based on the sequential knowledge graph. The device may determine anonymized activity signatures for the individual activities based on the embeddings, and may combine the anonymized activity signatures to generate a time-based anonymized activity signature for the individual, wherein the time-based anonymized activity signature providing information that may be utilized without divulging the individual information.
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公开(公告)号：US11126919B2
公开(公告)日：2021-09-21
申请号：US16117181
申请日：2018-08-30
IPC分类号： G06N5/04 , G06N3/00 , G06F16/901
摘要： Implementations include providing, by the PKG platform, an initial knowledge graph based on user-specific data associated with a user, and a domain-specific knowledge graph, receiving, by the PKG platform, data representative of at least one answer provided from the user to a respective question, providing, by the PKG platform, an expanded knowledge graph based on the initial knowledge graph, the expanded knowledge graph including one or more nodes and respective edges based on the data, generating, by the PKG platform, a weighted knowledge graph based a groundtruth knowledge graph, and a targeted knowledge graph, the groundtruth knowledge graph including one or more true answers, and the targeted knowledge graph including the at least one answer provided from the user, and generating, by the PKG platform, the hyper-personalized knowledge graph (hpKG) based on the weighted knowledge graph, the hpKG being unique to the user within a domain.
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公开(公告)号：US20190325868A1
公开(公告)日：2019-10-24
申请号：US15961393
申请日：2018-04-24
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a conversation monitoring system. In one aspect, a method includes receiving a conversation stream generated from a conversation between a user of a platform and a current robotic agent, where the current robotic agent is one of a plurality of robotic agents servicing the platform; processing the conversation stream to identify characteristics of the conversation; extracting a conversation knowledge graph that includes a plurality of first nodes that each correspond a concept discussed in the conversation; identifying a state change in the conversation from the identified characteristics of the conversation; merging the conversation knowledge graph with a domain knowledge graph into a merged knowledge graph; and replacing the current robotic agent with a replacement robotic agent from the robotic agents, the replacement robotic agent selected based on the percentage matching value of the merged knowledge graph.
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公开(公告)号：US20220318651A1
公开(公告)日：2022-10-06
申请号：US17218308
申请日：2021-03-31
摘要： Implementations for selectively enabling override of an inference result provided by an artificial intelligence (AI) system can include receiving an input case, outputting a first inference result by processing the input case through a machine learning (ML) model, and determining that a confidence score associated with the first inference result fails to meet a threshold, and in response: providing an adapted ML model based on a set of additional cases, outputting a second inference result by processing a current case through the adapted ML model, the current case including the input case, and selectively transmitting instructions to display an override element with the first inference result in a user interface.
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公开(公告)号：US20200068807A1
公开(公告)日：2020-03-05
申请号：US16117153
申请日：2018-08-30
摘要： Implementations include providing a baseline multi-dimensional model of a cultivar, determining an encoding based on the baseline multi-dimensional model, and a target multi-dimensional model, the encoding defining a string of symbols, and being based on an alphabet and a set of rules, providing an expected multi-dimensional model based on the encoding, and a modified set of rules, the modified set of rules being based on the set of rules, the expected multi-dimensional model representing the cultivar after a period of time, selecting a set of actions by determining multiple predicted multi-dimensional models for each set of actions in a plurality of sets of actions, and, for each predicted multi-dimensional model, providing a predicted yield that can be used to determine impact with respect an expected yield, the set of actions being selected based on a respective impact, and providing the set of actions as output for executing on the cultivar.
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10.发明申请公开(公告)号：US20190354880A1
公开(公告)日：2019-11-21
申请号：US16130357
申请日：2018-09-13
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for to enabling an action to accomplish a goal for a complex system. In one aspect, a method includes applying a slicing policy to an area within the complex system; receiving sensor data from a plurality of sensor devices positioned to collect readings from the complex system; extracting a knowledge graph based on the respective sensor data; extracting a macro knowledge graph based on a relationship between grid sections; merging the macro knowledge graph with a domain knowledge graph and an actions knowledge graph to form a recommendation knowledge graph; identifying an implementation plan for accomplishing a set goal for the complex system based on an analysis of the recommendation knowledge graph, the implementation plan including actions to accomplish a set goal; and enabling an implementation of at least one of the actions in the implementation plan.
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