公开(公告)号：US20200050178A1

公开(公告)日：2020-02-13

申请号：US16654978

申请日：2019-10-16

Applicant: Google LLC

Inventor： Jim Gao ,  Christopher Gamble ,  Amanda Gasparik ,  Vedavyas Panneershelvam ,  David Barker ,  Dustin Reishus ,  Abigail Ward ,  Jerry Luo ,  Brian Kim ,  Mark Schwabacher ,  Stephen Webster ,  Timothy Jason Kieper ,  Daniel Fuenffinger ,  Zakerey Bennett

IPC: G05B19/4155 ,  G06N20/00

Abstract: Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.

公开(公告)号：US20240339217A1

公开(公告)日：2024-10-10

申请号：US18620434

申请日：2024-03-28

Applicant: Google LLC

Inventor： Peggy Yen Phuong Bui ,  Bianca Madalina Buisman ,  Quang Anh Duong ,  Anastasia Martynova ,  Ayush Jain ,  Yuan Liu ,  Jonathan David Krause ,  Amit Sanjay Talreja ,  Rajeev Vijay Rikhye ,  Mahvish A. Nagda ,  Pinal Bavishi ,  Christopher James Eicher ,  Abigail Ward ,  Jieming Yu ,  Louis Wang ,  Dounia Berrada ,  Dale Richard Webster ,  Harshit Kharbanda ,  Igor Bonaci ,  Kai Yu ,  Ke Lan ,  Kaan Yücer ,  Willa Angel Chen Miller ,  Lars Thomas Hansen

IPC: G16H50/20 ,  G06T7/00 ,  G16H30/40

CPC classification number: G16H50/20 ,  G06T7/0012 ,  G16H30/40 ,  G06T2207/20104 ,  G06T2207/30088

Abstract: Systems and methods for diagnostic visual search can include processing a search query with a plurality of classification models to determine a search query intent and predict potential diagnosis. The search query can include an image that is processed to determine the presence of a body part and may be processed to determine if the search query is descriptive of a diagnostic search query. Based on the intent determination, the image may then be processed by a conditions classification model to determine one or more predicted condition classifications. Condition information can then be obtained and provided based on the one or more predicted condition classifications.

公开(公告)号：US11809164B2

公开(公告)日：2023-11-07

申请号：US17681652

申请日：2022-02-25

Applicant: Google LLC

Inventor： Jim Gao ,  Christopher Gamble ,  Amanda Gasparik ,  Vedavyas Panneershelvam ,  David Barker ,  Dustin Reishus ,  Abigail Ward ,  Jerry Luo ,  Brian Kim ,  Mark Schwabacher ,  Stephen Webster ,  Timothy Jason Kieper ,  Daniel Fuenffinger ,  Zakerey Bennett

IPC: H02J3/46 ,  G06Q10/04 ,  G06Q10/10 ,  G05B19/4155 ,  G06N20/00

CPC classification number: G05B19/4155 ,  G06N20/00 ,  G05B2219/40499

Abstract: Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.

公开(公告)号：US20220179401A1

公开(公告)日：2022-06-09

申请号：US17681652

申请日：2022-02-25

Applicant: Google LLC

Inventor： Jim Gao ,  Christopher Gamble ,  Amanda Gasparik ,  Vedavyas Panneershelvam ,  David Barker ,  Dustin Reishus ,  Abigail Ward ,  Jerry Luo ,  Brian Kim ,  Mark Schwabacher ,  Stephen Webster ,  Timothy Jason Kieper ,  Daniel Fuenffinger ,  Zakerey Bennett

IPC: G05B19/4155 ,  G06N20/00

Abstract: Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.