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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.

Patent No.:

US 11562267 B1

PDFFull Text
Date of Patent:
Jan. 24, 2023

Filed:

Jun. 04, 2020

Chatbot for defining a machine learning (ml) solution

Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Alberto Polleri, London, GB;

Sergio Aldea Lopez, London, GB;

Marc Michiel Bron, London, GB;

Dan David Golding, London, GB;

Alexander Ioannides, London, GB;

Maria del Rosario Mestre, London, GB;

Hugo Alexandre Pereira Monteiro, London, GB;

Oleg Gennadievich Shevelev, London, GB;

Larissa Cristina Dos Santos Romualdo Suzuki, Wokingham, GB;

Xiaoxue Zhao, London, GB;

Matthew Charles Rowe, Milton Keynes, GB;

Assignee:

Oracle International Corporation, Redwood Shores, CA (US);

Attorney:

Kilpatrick Townsend & Stockton LLP

Primary Examiner:

Pavan Mamillapalli

Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 7/00 (2006.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06F 40/40 (2020.01); H04L 51/02 (2022.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 40/40 (2020.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); H04L 51/02 (2013.01);
Abstract

The present disclosure relates to systems and methods for an intelligent assistant (e.g., a chatbot) that can be used to enable a user to generate a machine learning system. Techniques can be used to automatically generate a machine learning system to assist a user. In some cases, the user may not be a software developer and may have little or no experience in either machine learning techniques or software programming. In some embodiments, a user can interact with an intelligent assistant. The interaction can be aural, textual, or through a graphical user interface. The chatbot can translate natural language inputs into a structural representation of a machine learning solution using an ontology. In this way, a user can work with artificial intelligence without being a data scientist to develop, train, refine, and compile machine learning models as stand-alone executable code.

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