公开(公告)号：US11853018B2

公开(公告)日：2023-12-26

申请号：US17438677

申请日：2019-09-11

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson ,  Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson

IPC: G05B13/04 ,  G05B13/02 ,  G06N5/043 ,  G05B23/02 ,  G06N5/046 ,  G05B19/4065 ,  G05B19/418 ,  G06Q10/0631 ,  G06Q10/0639 ,  G06Q30/0202 ,  B60W40/064 ,  B60W40/08 ,  B60W40/105 ,  G06F18/21 ,  G06N7/01 ,  G06Q10/087

CPC classification number: G05B13/042 ,  B60W40/064 ,  B60W40/08 ,  B60W40/105 ,  G05B13/021 ,  G05B13/024 ,  G05B13/0265 ,  G05B13/041 ,  G05B19/4065 ,  G05B19/41835 ,  G05B23/0229 ,  G06F18/2193 ,  G06N5/043 ,  G06N5/046 ,  G06N7/01 ,  G06Q10/06315 ,  G06Q10/06395 ,  G06Q30/0202 ,  G05B2219/36301 ,  G06Q10/087

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes identifying a procedural instance; determining a temporal extent for the procedural instance based on temporal extent parameters for the one or more entities in the procedural instance; selecting control settings for the procedural instance; monitoring environment responses to the control settings that are received for the one or more entities; determining which of the environment responses to attribute to the procedural instance in a causal model; and adjusting, based at least in part on the environment responses that are attributed to the procedural instance, the temporal extent parameters for the one or more entities.

公开(公告)号：US20220180979A1

公开(公告)日：2022-06-09

申请号：US17436840

申请日：2019-10-28

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson ,  Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson ,  Susan L. Woulfe ,  Mark A. Tomai

IPC: G16H10/20 ,  G16H50/70

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designing a clinical trial. In one aspect, the method comprises repeatedly performing the following: i) selecting, from a population of patients, patients for being treated with the treatment using a configuration of input settings, wherein the configuration is selected based on a causal model that measures current causal relationships between input settings and a measure of success of the clinical trial; ii) determining the measure of success of the clinical trial for which patients were selected using the certain configuration of input settings; and iii) adjusting, based on the measure of success of the clinical trial, the causal model.

公开(公告)号：US20220163951A1

公开(公告)日：2022-05-26

申请号：US17436886

申请日：2019-10-03

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson ,  Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson ,  Brett R. Hemes ,  Thomas J. Strey ,  Jonathan B. Arthur ,  Nathan J. Herbst ,  Aaron K. Nienaber ,  Sarah M. Mullins ,  Mark W. Orlando ,  Cory D. Sauer ,  Timothy J. Clemens ,  Scott L. Barnett ,  Zachary M. Schaeffer ,  Patrick G. Zimmerman ,  Gregory P. Moriarty ,  Jeffrey P. Adolf ,  Steven P. Floeder ,  Andreas Backes ,  Peter J. Schneider ,  Maureen A. Kavanagh ,  Glenn E. Casner ,  Miaoding Dai ,  Christopher M. Brown ,  Lori A. Sjolund ,  Jon A. Kirschhoffer ,  Carter C. Hughes

IPC: G05B19/418 ,  B25J11/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a process of manufacturing a product. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of input settings for manufacturing a product, based on a causal model that measures causal relationships between input settings and a measure of a quality of the product; ii) determining the measure of the quality of the product manufactured using the configuration of input settings; and iii) adjusting, based on the measure of the quality of the product manufactured using the configuration of input settings, the causal model.

公开(公告)号：US20220146991A1

公开(公告)日：2022-05-12

申请号：US17438027

申请日：2019-10-03

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson ,  Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson ,  Vincent J. Laraia ,  Don V. West

IPC: G05B13/02 ,  B24B37/005 ,  H01L21/461 ,  H01L21/66

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a process of polishing semiconductor wafers. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of input settings for polishing a semiconductor wafer, based on a causal model that measures current causal relationships between input settings and a quality of semiconductor wafers; ii) receiving a measure of the quality of the semiconductor wafer polished with the configuration of input settings; and iii) adjusting, based on the measure of the quality of the semiconductor wafer polished with the configuration of input settings, the causal model.

公开(公告)号：US20210390401A1

公开(公告)日：2021-12-16

申请号：US17309036

申请日：2019-08-26

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O.N. Olson ,  Thomas J. Barnidge ,  Audrey X. Yang ,  Frederick J. Arsenault ,  Tyler W. Olson ,  Jennifer S. Hilpisch

IPC: G06N3/08 ,  G06Q10/08

Abstract: Systems for optimizing business objectives of e-commerce content can include memory and a processor coupled to the memory. The processor can receive one or more assumptions for multivariate comparison of content. The content can be provided to users of an e-commerce system. The processor can repeatedly generate self-organizing experimental units (SOEUs) based on the one or more assumptions. The processor can inject the SOEUs into the online system to generate quantified inferences about the content. The processor can identify, responsive to injecting the SOEUs, at least one confidence interval within the quantified inferences. The processor can iteratively modify the SOEUs based on the at least one confidence interval to identify at least one causal interaction of the e-commerce content within the system. Other methods and apparatuses are described.