Patents Assigned to AI SYSTEMS INC.
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Publication number: 20220207399Abstract: An Online Machine Learning System (OMLS) including an Online Preprocessing Engine (OPrE) configured to (a) receive streaming data including an instance comprising a vector of inputs, the vector of inputs comprising a plurality of continuous or categorical features; (b) discretize features; (c) impute missing feature values; (d) normalize features; and (e) detect drift or change in features; an Online Feature Engineering Engine (OFEE) configured to produce features; and an Online Robust Feature Selection Engine (ORFSE) configured to evaluate and select features; an Online Machine Learning Engine (OMLE) configured to incorporate and utilize one or more machine learning algorithms or models utilizing features to generate a result, and capable of incorporating and utilizing multiple different machine learning algorithms or models, wherein each of the OMLE, the OPrE, the OFEE, and the ORFSE are continuously communicatively coupled to each other, and wherein the OMLS is configured to perform continuous online machiType: ApplicationFiled: March 15, 2022Publication date: June 30, 2022Applicant: Tazi AI Systems, Inc.Inventor: Tanju Cataltepe
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Patent number: 11315030Abstract: An Online Machine Learning System (OMLS) including an Online Preprocessing Engine (OPrE) configured to (a) receive streaming data including an instance comprising a vector of inputs, the vector of inputs comprising a plurality of continuous or categorical features; (b) discretize features; (c) impute missing feature values; (d) normalize features; and (e) detect drift or change in features; an Online Feature Engineering Engine (OFEE) configured to produce features; and an Online Robust Feature Selection Engine (ORFSE) configured to evaluate and select features; an Online Machine Learning Engine (OMLE) configured to incorporate and utilize one or more machine learning algorithms or models utilizing features to generate a result, and capable of incorporating and utilizing multiple different machine learning algorithms or models, wherein each of the OMLE, the OPrE, the OFEE, and the ORFSE are continuously communicatively coupled to each other, and wherein the OMLS is configured to perform continuous online machiType: GrantFiled: September 9, 2018Date of Patent: April 26, 2022Assignee: TAZI AI SYSTEMS, INC.Inventor: Tanju Cataltepe
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Publication number: 20190279102Abstract: An Online Machine Learning System (OMLS) including an Online Preprocessing Engine (OPrE) configured to (a) receive streaming data including an instance comprising a vector of inputs, the vector of inputs comprising a plurality of continuous or categorical features; (b) discretize features; (c) impute missing feature values; (d) normalize features; and (e) detect drift or change in features; an Online Feature Engineering Engine (OFEE) configured to produce features; and an Online Robust Feature Selection Engine (ORFSE) configured to evaluate and select features; an Online Machine Learning Engine (OMLE) configured to incorporate and utilize one or more machine learning algorithms or models utilizing features to generate a result, and capable of incorporating and utilizing multiple different machine learning algorithms or models, wherein each of the OMLE, the OPrE, the OFEE, and the ORFSE are continuously communicatively coupled to each other, and wherein the OMLS is configured to perform continuous online machiType: ApplicationFiled: September 9, 2018Publication date: September 12, 2019Applicant: Tazi AI Systems, Inc.Inventor: Tanju Cataltepe
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Publication number: 20190279043Abstract: An Online Machine Learning System (OMLS) includes an Online Machine Learning Engine (OMLE) for incorporating and utilizing one or more machine learning algorithms or models utilizing features to generate a result, and capable of incorporating and utilizing multiple different machine learning algorithms; wherein the OMLS is configured to perform continuous online machine learning, the continuous online machine learning comprising: continuous online machine learning from streaming data including an instance comprising a vector of inputs, the vector of inputs comprising a plurality of continuous or categorical features; and continuous online machine learning from periodically provided expert feedback.Type: ApplicationFiled: September 9, 2018Publication date: September 12, 2019Applicant: Tazi AI Systems, Inc.Inventor: Tanju Cataltepe
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Patent number: 9645575Abstract: A system and method for controlling a process such as an oil production process is disclosed. The system comprises multiple intelligent agents for processing data received from a plurality sensors deployed in a job site of an oil well, and applies a probabilistic model for evaluating risk and recommending appropriate control action to the process.Type: GrantFiled: November 27, 2013Date of Patent: May 9, 2017Assignee: ADEPT AI SYSTEMS INC.Inventor: Jeff Watson
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Publication number: 20150148919Abstract: A system and method for controlling a process such as an oil production process is disclosed. The system comprises multiple intelligent agents for processing data received from a plurality sensors deployed in a job site of an oil well, and applies a probabilistic model for evaluating risk and recommending appropriate control action to the process.Type: ApplicationFiled: November 27, 2013Publication date: May 28, 2015Applicant: ADEPT AI SYSTEMS INC.Inventor: Jeff WATSON
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Publication number: 20110235360Abstract: A light source device for a fiber optic illumination system comprises a solid-state light emitting element having an emission surface shaped in quadrate, a light collection lens system with a positive power comprising at least a plano-convex lens, and a reflection member having a cylindrical reflection surface therein, all of which are arranged in this order coaxially with one another along a principal axis passing a center of the light emitting element, wherein the plano-convex lens is placed with a plane surface thereof directly facing and located at a space distance apart from the emission surface so as to form a virtual image of the emission surface.Type: ApplicationFiled: August 9, 2010Publication date: September 29, 2011Applicants: MEDIA TECHNOLOGY CO., LTD., AI SYSTEMS INC.Inventors: Haruo ITOH, Kunio ANDO