Anil Raghavendrachar Yelundur

Title: Anil Raghavendrachar Yelundur: Innovator in Artificial Intelligence

Introduction

Anil Raghavendrachar Yelundur is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of artificial intelligence, particularly through his innovative patents. With a total of 2 patents, Anil is recognized for his expertise in developing advanced systems that leverage graph convolutional networks.

Latest Patents

Anil's latest patents focus on an artificial intelligence system that employs graph convolutional networks for analyzing multi-entity-type multi-relational data. The respective initial feature sets are obtained for the nodes of a graph, where the nodes represent instances of entity types and edges represent relationships. Using these initial feature sets and the graph, a graph convolutional model is trained to generate one or more types of predictions. In this model, a representation of a particular node at a specific hidden layer is based on aggregated representations of neighbor nodes. An embedding produced at a final hidden layer is then used as input to a prediction layer, and the trained model is stored for future use.

Career Highlights

Anil currently works at Amazon Technologies, Inc., where he continues to push the boundaries of artificial intelligence research. His work has garnered attention for its innovative approach to data analysis and prediction modeling.

Collaborations

Some of Anil's notable coworkers include Ankit Gandhi and Arijit Biswas, who contribute to the collaborative environment that fosters innovation at Amazon Technologies.

Conclusion

Anil Raghavendrachar Yelundur is a key figure in the realm of artificial intelligence, with a focus on graph convolutional networks. His contributions are paving the way for advancements in data analysis and prediction systems.