公开(公告)号：US20220092042A1

公开(公告)日：2022-03-24

申请号：US17540050

申请日：2021-12-01

Applicant: Intel Corporation

Inventor： Niranjan Hasabnis ,  Justin Gottschlich ,  Celine Lee ,  Emine Tatbul Bitim ,  Shengtian Zhou

IPC: G06F16/215

Abstract: Methods, apparatus, systems, and articles of manufacture to improve data quality for artificial intelligence are disclosed. An example apparatus includes an interface; instructions; and processor circuitry to execute the instruction to: determine an indirect quality of a repository that include datapoints of a dataset; determine a direct quality of the repository that include the datapoints of the dataset; determine a dataset quality based on the indirect quality of the repository and the direct quality of the repository; and when the quality does not satisfy a threshold, filter out a subset of the datapoints to prepare the dataset to support the training of the neural network.

公开(公告)号：US12032541B2

公开(公告)日：2024-07-09

申请号：US17540050

申请日：2021-12-01

Applicant: Intel Corporation

Inventor： Niranjan Hasabnis ,  Justin Gottschlich ,  Celine Lee ,  Emine Tatbul Bitim ,  Shengtian Zhou

IPC: G06F16/215

CPC classification number: G06F16/215

Abstract: Methods, apparatus, systems, and articles of manufacture to improve data quality for artificial intelligence are disclosed. An example apparatus includes an interface; instructions; and processor circuitry to execute the instruction to: determine an indirect quality of a repository that include datapoints of a dataset; determine a direct quality of the repository that include the datapoints of the dataset; determine a dataset quality based on the indirect quality of the repository and the direct quality of the repository; and when the quality does not satisfy a threshold, filter out a subset of the datapoints to prepare the dataset to support the training of the neural network.