Semantic matching between a source screen or source data and a target screen using semantic artificial intelligence

This invention describes a computer program that extracts data from one application or data source, then uses an artificial intelligence classification algorithm to predict what kind of application or data source it is. After confirming this prediction, it prompts the user for a target application and can also predict the target application's type, presumably to facilitate copying the extracted data.

Why it matters: Filed before the rapid advancements in AI's ability to classify and understand diverse application interfaces and data types. Modern AI, particularly multimodal models and advanced classification algorithms, can now perform the claimed prediction of source and target application types with greater accuracy and less specialized training than in 2022.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, AI/ML model, classification

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