Computing US 12,462,115 B2 Not in force

System and method for temporal attention behavioral analysis of multi-modal conversations in a question and answer system

This invention describes a system for understanding conversations that use different types of input, such as spoken words or gestures, received from sensors. It converts these varied inputs into a digital format, then identifies how patterns in the conversation change over time. The system continuously updates these temporal patterns to analyze the conversation and formulate responses.

Why it matters: Filed in 2023, the rapid advancements in large multi-modal models and AI infrastructure since then have made the underlying techniques, such as sophisticated multi-modal embedding and temporal pattern analysis, significantly more powerful and accessible. This makes building such a system more feasible and effective today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, AI/ML models, multi-modal data processing.

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