Toronto, Canada

Avishek Bose

This inventor holds 1 USPTO granted patent. Top assignee: Royal Bank of Canada. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Avishek Bose. Retrieved from https://idiyas.com/inventor/avishek-bose-fl36hl7z

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Avishek Bose: Innovator in Generative Adversarial Networks

Introduction

Avishek Bose is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of artificial intelligence, particularly in the area of generative adversarial networks (GANs). His innovative work has garnered attention in both academic and professional circles.

Latest Patents

Avishek holds a patent for a "Method and device for generative adversarial network training." This electronic device for neural network training includes at least one processor and one or more memories configured to provide or train a generative adversarial network using a generator and a discriminator. The device is designed to receive a plurality of training cases and train the GAN based on these cases to classify them effectively. Notably, the generator generates hard negative examples for the discriminator, enhancing the training process. He has 1 patent to his name.

Career Highlights

Avishek is currently employed at the Royal Bank of Canada, where he applies his expertise in artificial intelligence to develop innovative solutions. His work at the bank involves leveraging advanced technologies to improve financial services and customer experiences.

Collaborations

One of his notable coworkers is Yanshuai Cao, with whom he collaborates on various projects related to artificial intelligence and machine learning.

Conclusion

Avishek Bose is a prominent figure in the field of generative adversarial networks, with a focus on enhancing neural network training methods. His contributions continue to shape the landscape of artificial intelligence in the financial sector and beyond.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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