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. 30, 2022

Filed:

May. 21, 2018
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Vijay Mital, Kirkland, WA (US);

Liang Du, Redmond, WA (US);

Ranjith Narayanan, Bellevue, WA (US);

Robin Abraham, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/901 (2019.01); G06F 16/36 (2019.01); G06F 16/904 (2019.01); G06F 16/9032 (2019.01); G06N 20/00 (2019.01); H04L 41/16 (2022.01);
U.S. Cl.
CPC ...
G06F 16/36 (2019.01); G06F 16/901 (2019.01); G06F 16/904 (2019.01); G06F 16/90328 (2019.01); G06N 20/00 (2019.01); H04L 41/16 (2013.01); G10K 2210/3024 (2013.01);
Abstract

The improved exercise of artificial intelligence. Raw output data is obtained by applying an input data set to an artificial intelligence (AI). Such raw output data is sometimes difficult to interpret. The principles defined herein provide a systematic way to refine the output for a wide variety of AI models. An AI model collection characterization structure is utilized for purpose of refining AI model output so as to be more useful. The characterization structure represents, for each of multiple and perhaps numerous AI models, a refinement of output data that resulted from application of an AI model to input data. Upon obtaining output data from the AI model, the appropriate refinement may then be applied. The refined data may then be semantically indexed to provide a semantic index. The characterization structure may also provide tailored information to allow for intuitive querying against the semantic index.


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