San Jose, CA, United States of America

Pritish Narayanan

USPTO Granted Patents = 25 

 

Average Co-Inventor Count = 2.8

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2019-2025

where 'Filed Patents' based on already Granted Patents

25 patents (USPTO):

Title: Innovations and Contributions of Pritish Narayanan in Artificial Intelligence

Introduction

Pritish Narayanan is a prominent inventor located in San Jose, CA, known for his significant contributions to the field of artificial intelligence and neural networks. With an impressive portfolio of 23 patents, Narayanan has made substantial advancements that enhance computational efficiency in artificial intelligence applications.

Latest Patents

Narayanan’s latest innovations include several noteworthy patents. One such patent is titled "Row-by-row convolutional neural network mapping for analog artificial intelligence network training." This patent outlines a computer-implemented method for executing a convolutional neural network (CNN) using a crosspoint array. It describes the configuration of the array to implement convolution layers by storing weights in crosspoint devices, training the CNN, and employing a row-by-row approach to mapping input data.

Another notable patent is for a "System, method and article of manufacture for synchronization-free transmittal of neuron values in hardware artificial neural networks." This invention facilitates computations within artificial neural networks using neurons and synapses, effectively transferring neuron values from one array to another without global clock synchronization. The technology promotes better efficiency and accuracy in neural network operations.

Career Highlights

Pritish Narayanan has had a distinguished career, having worked with renowned institutions such as IBM and Polytechnic University of Turin. His experiences in these environments have greatly influenced his research and development endeavors in the field of artificial intelligence.

Collaborations

Throughout his career, Narayanan has collaborated with esteemed peers, including Geoffrey W. Burr and Hsin-Yu Tsai. These collaborations have contributed to his innovative research and the development of several groundbreaking technologies in the realm of neural networks and artificial intelligence.

Conclusion

With a blend of innovative thinking and extensive expertise, Pritish Narayanan has significantly impacted the artificial intelligence landscape. His latest patents exemplify a commitment to advancing technology while collaborating with other prominent experts in the field, paving the way for future advancements in AI and computational methods.

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