Google Inc.

Mark Schwabacher

Christopher Gamble

David Barker

Dustin Reishus

Vedavyas Panneershelvam

Jim Gao

Brian Kim

Zakerey Bennett

Abigail Ward

Amanda Gasparik

Daniel Fuenffinger

Stephen Webster

Timothy Jason Kieper

Jerry Luo

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.

Integrating machine learning into control systems for industrial facilities

Growing community of inventors

Santa Clara, CA, United States of America

Mark Schwabacher