Amazon Technologies, Inc. patent applications on February 13th, 2025
Patent Applications by Amazon Technologies, Inc. on February 13th, 2025
Amazon Technologies, Inc.: 3 patent applications
Amazon Technologies, Inc. has applied for patents in the areas of G06F11/36 (1), G06F16/28 (1), G06F18/214 (1), G06F18/25 (1), G06F40/30 (1) G06F11/3612 (1), G06F16/285 (1), G06F18/2148 (1)
With keywords such as: content, log, supplemental, based, embeddings, items, requests, responses, provider, and image in patent application abstracts.
Patent Applications by Amazon Technologies, Inc.
20250053497. BLOCK ANCHORS FOR ONLINE LOG PARSING_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Xiao Wang of Kirkland WA (US) for amazon technologies, inc., Jasmeet Chhabra of Sammamish WA (US) for amazon technologies, inc.
IPC Code(s): G06F11/36
CPC Code(s): G06F11/3612
Abstract: online block parsing techniques are performed that use anchor tokens. when a log entry of a log stream is received, the log entry may be tokenized into an ordered series of log units. the log units may be matched with anchor tokens in previously initialized log templates to determine a matching log template. a log template based on the matching log template may be provided with the tokenized log entry to a destination for a parsed version of the log stream.
Inventor(s): James Zachary Kersh of Austin TX (US) for amazon technologies, inc., Manish Landge Nilkanth of Round Rock TX (US) for amazon technologies, inc.
IPC Code(s): G06F16/28
CPC Code(s): G06F16/285
Abstract: a supplemental content retrieval system receives requests for supplemental content from various content providers, and makes respective requests to supplemental content provider(s). responses to the requests may be subject to a time limit. the requests to the supplemental content provider(s) may be made in parallel or serially, and may sometimes include information based on responses from another content provider. the supplemental content retrieval system receives responses with content items from the supplemental content providers and, for items in the responses that do not specify a category, determines categories of the items (e.g., based on item metadata, interactive links in the content item, item identifiers for the items, etc.). the supplemental content retrieval system applies a constraint (e.g., an inter-item category constraint or similar, which also may be associated with a time limit) to the categorized items to prepare responses to respective content provider requests.
20250053616. VISION-AND-LANGUAGE MODEL TRAINING_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Tarik Arici of New York NY (US) for amazon technologies, inc., Mehmet Saygin Seyfioglu of Seattle WA (US) for amazon technologies, inc., Ismail Baha Tutar of Seattle WA (US) for amazon technologies, inc., Tal Neiman of Brooklyn NY (US) for amazon technologies, inc.
IPC Code(s): G06F18/214, G06F18/25, G06F40/30, G06N3/08, G06T9/00, G06V30/262
CPC Code(s): G06F18/2148
Abstract: systems and methods for improving training processes for image and text applications are described. a first set of embeddings may be generated based on a text input, and a second set of embeddings may be generated via a convolutional neural network (cnn), based on an input image. the first set of embeddings and the second set of embeddings may be utilized to generate a third set of embeddings including one or more placeholder values to be replaced. the placeholder values may be replaced based on predicted values, to reconstruct the input text and image.
Amazon Technologies, Inc. patent applications on February 13th, 2025