Abstract: An article of footwear includes an upper member and a sole structure, with a sensor system connected to the sole structure. The sensor system includes a plurality of sensors that are configured for detecting forces exerted by a user's foot on the sensor. The sensor system also includes a port that is configured to receive a module to place the module in communication with the sensors. The port includes a housing with a chamber configured to receive the module and an interface engaged with the housing and having at least one electrical contact exposed to the chamber. Additional retaining structure and interface structure may be included.

Abstract: Novel tools and techniques are provided for implementing tailored synthetic personas with parameterized behaviors. In various embodiments, a computing system may cause an AI/ML-driven persona(s) to interact with a user via a UI, the interaction including a conversation between the AI/ML-driven persona(s) and the user. Using at least one AI/ML model, the computing system may analyze the conversation to identify a goal(s) of the conversation, may determine a structure of the interaction, may determine one or more first parameters for the determined structure of the interaction (the one or more first parameters defining conversational guardrails for steering the interaction away from conversational tangents), may generate one or more first conversational threads configured to achieve the goal(s) of the conversation, and may cause the AI/ML-driven persona(s) to continue the conversation with the user using the one or more first conversational threads to work toward achieving the goal(s) of the conversation.

Abstract: Novel tools and techniques are provided for implementing tailored synthetic personas with parameterized behaviors. In various embodiments, a computing system may cause an AI/ML-driven persona(s) to interact with a user via a UI, the interaction including a conversation between the AI/ML-driven persona(s) and the user. Using at least one AI/ML model, the computing system may analyze the conversation to identify a goal(s) of the conversation, may determine a structure of the interaction, may determine one or more first parameters for the determined structure of the interaction (the one or more first parameters defining conversational guardrails for steering the interaction away from conversational tangents), may generate one or more first conversational threads configured to achieve the goal(s) of the conversation, and may cause the AI/ML-driven persona(s) to continue the conversation with the user using the one or more first conversational threads to work toward achieving the goal(s) of the conversation.

Abstract: Novel tools and techniques are provided for implementing tailored synthetic personas with parameterized behaviors. In various embodiments, a computing system may cause an AI/ML-driven persona(s) to interact with a user via a UI, the interaction including a conversation between the AI/ML-driven persona(s) and the user. Using at least one AI/ML model, the computing system may analyze the conversation to identify a goal(s) of the conversation, may determine a structure of the interaction, may determine one or more first parameters for the determined structure of the interaction (the one or more first parameters defining conversational guardrails for steering the interaction away from conversational tangents), may generate one or more first conversational threads configured to achieve the goal(s) of the conversation, and may cause the AI/ML-driven persona(s) to continue the conversation with the user using the one or more first conversational threads to work toward achieving the goal(s) of the conversation.

Abstract: Novel tools and techniques are provided for implementing automated robocall detection. In various embodiments, a computing system may compare first abstracted raw data, obtained from a portion of call data from a first call from a first originating party, with each of a plurality of abstracted raw data, obtained from portions of call data from a plurality of calls from a corresponding plurality of originating parties. In some instances, the plurality of abstracted raw data and the first abstracted raw data may each include at least one of word count data, phoneme count data, inter-word timing data, voice pitch estimation data, and/or background noise data. The computing system may determine whether the first abstracted raw data is indicative of the first call being a suspected unsolicited or unwanted communication, based at least in part on the comparison. If so, the computing system may perform one or more tasks.

Abstract: Novel tools and techniques are provided for implementing automated robocall detection. In various embodiments, a computing system may compare first abstracted raw data, obtained from a portion of call data from a first call from a first originating party, with each of a plurality of abstracted raw data, obtained from portions of call data from a plurality of calls from a corresponding plurality of originating parties. In some instances, the plurality of abstracted raw data and the first abstracted raw data may each include at least one of word count data, phoneme count data, inter-word timing data, voice pitch estimation data, and/or background noise data. The computing system may determine whether the first abstracted raw data is indicative of the first call being a suspected unsolicited or unwanted communication, based at least in part on the comparison. If so, the computing system may perform one or more tasks.

Abstract: Novel tools and techniques are provided for implementing enhanced 911 call functionalities. In various embodiments, in response to receiving a 911 call request from a caller using a calling device associated with an originating telephone number (“TN”), a computing system may determine whether a user profile associated with the caller and/or the originating TN contains registered third parties on a 911 call notification list. Based on a determination that the user profile contains at least one registered third party on the 911 call notification list associated with the caller and/or the originating TN, the computing system may send a message to each of the at least one registered third party indicating that the caller has called 911, and/or may establish a listen-in only bridged connection, a full bridge connection, or a shared communication to the 911 call for each registered third party.

Abstract: Novel tools and techniques are provided for implementing automated robocall detection. In various embodiments, a computing system may compare first abstracted raw data, obtained from a portion of call data from a first call from a first originating party, with each of a plurality of abstracted raw data, obtained from portions of call data from a plurality of calls from a corresponding plurality of originating parties. In some instances, the plurality of abstracted raw data and the first abstracted raw data may each include at least one of word count data, phoneme count data, inter-word timing data, voice pitch estimation data, and/or background noise data. The computing system may determine whether the first abstracted raw data is indicative of the first call being a suspected unsolicited or unwanted communication, based at least in part on the comparison. If so, the computing system may perform one or more tasks.