London, United Kingdom

Vedavyas Panneershelvam

USPTO Granted Patents = 3 


Average Co-Inventor Count = 11.8

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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3 patents (USPTO):Explore Patents

Title: Innovations of Vedavyas Panneershelvam

Introduction

Vedavyas Panneershelvam is a notable inventor based in London, GB. He has made significant contributions to the field of machine learning and control systems, holding a total of three patents. His work focuses on integrating advanced technologies to optimize industrial processes.

Latest Patents

One of Vedavyas's latest patents involves 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 allows for the reception of an industrial facility setting slate from a machine learning system, enabling a determination of whether to adopt the settings in the industrial facility setting slate. 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.

Another significant patent focuses on distributed training of reinforcement learning systems. This patent includes methods, systems, and apparatus for distributed training of reinforcement learning systems. One method involves receiving current values of the parameters of the Q network from a parameter server. Each learner maintains a respective learner Q network replica and a respective target Q network replica. The learner updates the parameters of the learner Q network replica using the current values and selects an experience tuple from a respective replay memory. The computed gradient from the experience tuple is then provided to the parameter server.

Career Highlights

Vedavyas has worked with prominent companies such as DeepMind Technologies Limited and Google Inc. His experience in these organizations has allowed him to contribute to cutting-edge research and development in artificial intelligence and machine learning.

Collaborations

Some of Vedavyas's notable coworkers include Praveen Deepak Srinivasan and Rory Fearon. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.

Conclusion

Vedavyas Panneershelvam's work exemplifies the intersection of machine learning and industrial efficiency. His patents reflect a commitment to advancing technology and optimizing processes in various applications.

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