Anandh Ravi Kumar

Title: Innovations of Anandh Ravi Kumar

Introduction

Anandh Ravi Kumar is an accomplished inventor based in Torrance, CA. He has made significant contributions to the field of deep learning and neural networks. His innovative work focuses on methods and techniques for managing large distributed datasets.

Latest Patents

Anandh holds a patent for "Methods and techniques for deep learning at scale over very large distributed datasets." This patent describes an apparatus, method, and computer program product for neural network training over extensive distributed datasets. The invention involves executing a relational database management system (RDBMS) in a computer system comprised of multiple compute units. The RDBMS manages a relational database that includes one or more tables storing data. Local neural network models are trained in the compute units using the data stored locally. After training, at least one global neural network model is generated by aggregating the local neural network models.

Career Highlights

Anandh Ravi Kumar is currently associated with Teradata US, Inc., where he applies his expertise in deep learning and data management. His work has been instrumental in advancing the capabilities of neural networks in handling large datasets.

Collaborations

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Conclusion

Anandh Ravi Kumar's innovative contributions to deep learning and neural networks demonstrate his commitment to advancing technology in data management. His patent reflects a significant step forward in the field, showcasing his expertise and vision.