The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 25, 2026

Filed:

Mar. 29, 2024
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Rajshekhar Das, Los Angeles, CA (US);

Hao Yang, Seattle, WA (US);

Gukyeong Kwon, Jersey City, NJ (US);

Varad Gunjal, Brooklyn, NY (US);

Zhizhong Li, Seattle, WA (US);

Abhinav Goyal, Snohomish, WA (US);

Ashwin Swaminathan, Dublin, CA (US);

Orchid Majumder, Kirkland, WA (US);

Rohit Mittal, Short Hills, NJ (US);

Jin Hua Huang, Merrick, NY (US);

Rahul Tewari, Seattle, WA (US);

Brahmananda Reddy Boggula, Renton, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/903 (2019.01);
U.S. Cl.
CPC ...
G06F 16/90335 (2019.01);
Abstract

Dimension reduction is performed for multimodal embedding searches. A request to perform a search using input data of a modality of a multimodal machine learning model is received. The input data is encoded using the multimodal machine learning model to generate a first embedding that represents the input data. A machine learning dimension reduction technique is applied to the first embedding to generate a second embedding with a reduced number of dimensions. This second embedding is then used to search an index of data objects also generated using both the multimodal machine learning model and the machine learning dimension reduction technique.


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