Data processing and classification

This invention describes a system that automatically sorts and understands new kinds of information, even when there isn't much historical data available for that specific type. It works by first cleaning and storing incoming data on a server. If the system identifies a completely new kind of information, it uses a general, pre-existing knowledge model as a starting point, which was trained on many different types of data, and then quickly adapts it using a small sample of the new information for efficient and accurate classification.

Why it matters: The patent focuses on efficiently classifying new data types, especially with limited initial examples, using meta-learning. Since 2019, the maturity and accessibility of meta-learning frameworks and cloud-based machine learning platforms have significantly advanced, making the implementation and scaling of such a system more practical and performant for handling diverse and evolving data streams.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning models, database system

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