Company Filing History:
Years Active: 2023
Title: Mark Schwabacher: Innovator in Machine Learning for Industrial Control Systems
Introduction
Mark Schwabacher is a prominent inventor based in Santa Clara, CA. He has made significant contributions to the field of machine learning, particularly in its application to control systems for industrial facilities. His innovative approach aims to enhance the efficiency of data centers through advanced technology.
Latest Patents
Mark Schwabacher holds a patent for "Integrating machine learning into control systems for industrial facilities." This patent discloses methods, systems, apparatus, and computer program products for implementing machine learning within control systems. The invention involves receiving an industrial facility setting slate from a machine learning system and determining whether to adopt these settings. The machine learning model utilized can be a neural network, such as a deep neural network, trained using reinforcement learning to predict a data setting slate that optimizes the efficiency of a data center. He has 1 patent to his name.
Career Highlights
Mark Schwabacher is currently employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work focuses on integrating machine learning into various applications, enhancing operational efficiencies in industrial settings.
Collaborations
Some of his notable coworkers include Jim Gao and Christopher Gamble, who collaborate with him on various projects at Google Inc. Their combined expertise contributes to the advancement of machine learning technologies.
Conclusion
Mark Schwabacher is a key figure in the integration of machine learning into industrial control systems, with a focus on optimizing data center efficiency. His innovative work at Google Inc. continues to shape the future of technology in this field.