Bengaluru, India

Bharat Daga

USPTO Granted Patents = 10 

 

Average Co-Inventor Count = 3.7

ph-index = 3

Forward Citations = 26(Granted Patents)


Company Filing History:


Years Active: 2014-2024

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10 patents (USPTO):Explore Patents

Title: Bharat Daga: Innovator in Deep Learning Technologies

Introduction

Bharat Daga is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of deep learning, particularly in the area of data compression for neural networks. With a total of 10 patents to his name, Daga continues to push the boundaries of technology and innovation.

Latest Patents

One of Bharat Daga's latest patents focuses on "Compression for deep learning in case of sparse values mapped to non-zero value." This invention describes a processing apparatus that includes compute circuitry designed to generate neural network data for a convolutional neural network (CNN). The apparatus writes this data to a memory buffer and features a direct memory access (DMA) controller with both encode and decode circuitry. The DMA controller efficiently reads neural network data from the memory buffer, encodes it, and writes the encoded data along with its metadata to a memory device. This innovative approach enhances the performance of deep learning applications by optimizing data handling.

Career Highlights

Bharat Daga has worked with leading technology companies, including Intel Corporation and Oracle International Corporation. His experience in these organizations has allowed him to develop and refine his expertise in deep learning and data processing technologies.

Collaborations

Throughout his career, Bharat has collaborated with notable professionals in the field, including Ajit Singh and Pradeep Janedula. These collaborations have contributed to the advancement of his research and innovations.

Conclusion

Bharat Daga is a key figure in the realm of deep learning technologies, with a strong portfolio of patents that reflect his innovative spirit. His work continues to influence the development of advanced computational methods in the industry.

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