US Patent Application 18199996. Determining Distances Between Vectors simplified abstract
Contents
Determining Distances Between Vectors
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Determining Distances Between Vectors - A simplified explanation of the abstract
This abstract first appeared for US patent application 18199996 titled 'Determining Distances Between Vectors
Simplified Explanation
- The abstract describes the use of in-memory computing circuits for determining distances between vectors, particularly for machine learning applications. - The circuits are capable of comparing bits of dimensions in query vectors to corresponding bits in reference vectors. - A control signal is obtained based on whether the bits of the query vector match the bits of the reference vector. - This control signal is then used to control a pulse modifying circuit, which applies modifications to a pulse signal based on the match or mismatch of the bits. - The innovation allows for efficient and accurate distance calculations between vectors, which is useful in various machine learning tasks.
Original Abstract Submitted
In-memory computing circuits can be used to determine distances between vectors. Such circuits can be used for machine learning applications. Examples include obtaining at least one dimension of a query vector wherein the dimension includes one or more bits and comparing respective bits of the dimension to corresponding bits of at least one dimension of a reference vector. This obtains a control signal dependent upon whether the bits of the dimension of the query vector are the same as corresponding bits of the dimension of the reference vector. The control signal can then be used to control a pulse modifying circuit such that a modification applied to a pulse signal is dependent upon whether the bits of the dimension of the query vector are the same as corresponding bits of the dimension of the reference vector.