Qualcomm Incorporated

Accenture Global Solutions Limited

Fair Isaac Corporation

Bo Zhang

Yun Du

Guofang Jiao

Joseph P Milana

Jay Chunsup Yun

Gregory Gancarz

Daniel Garrison

Anupam Anurag Tripathi

Linyu Yang

David Griegel

Surya Raghavendra Vadlamani

Zuohua Zhang

Danfeng Li

Neha Wadhwa Dang

Mohamed Suhail

Jatinder Singh

Described herein are systems, methods, devices, and other techniques for comprehensive and automated evaluation of digital images generated from artificial intelligence (AI) models in order to promote accurate representations of real-world content. Prompts are received at the system that are then passed to both a search engine and a generative AI model. Synthesized digital images are obtained from the generative AI model. The top-matching image from the search engine is used as a verification of the ground truth of the synthesized digital images. A realism score is generated for each synthesized digital image that characterizes the accuracy of the synthesized digital image with reference to the verification image. The realism score can be used to assist and expedite the image selection process, as well as serve as input to fine-tune the performance of generative models.

System and method for extracting object information from digital images to evaluate for realism

A merchant profile builder (MPB) is provided. The complete merchant profiling process is split into three pieces: Data Preprocessing, Weekly Summary Calculation, and Merchant Profile Calculation. In the Data Preprocessing stage, authorization data and daily fraud data are processed on a weekly basis to yield: an authorization extract file and fraud authorization data, each of which are sorted by a merchant key. In the Weekly Summary Calculation stage, the files output by the Data Preprocessing stage are used as input to compile basic statistics for each merchant based only on data for one week. There are separate weekly summaries for authorizations and fraud authorizations. In the Merchant Profile Calculation stage, the weekly summaries from the 16 most recent weeks are combined together and averages are calculated and output a set of merchant profiles and a set of default profiles.

Method and apparatus for a merchant profile builder

A computer addressing mode and memory access method rely on a memory segment identifier and a memory segment mask for indicating memory locations. In this addressing mode, a processor receives an instruction comprising the memory segment identifier and memory segment mask. The processor employs a two-level address decoding scheme to access individual memory locations. Under this decoding scheme, the processor decodes the memory segment identifier to select a particular memory segment. Each memory segment includes a predefined number of memory locations. The processor selects memory locations within the memory segment based on mask bits set in the memory segment mask. The disclosed addressing mode is advantageous because it allows non-consecutive memory locations to be efficiently accessed.

Computer memory addressing mode employing memory segmenting and masking

Growing community of inventors

San Diego, CA, United States of America

Bo Zhang