This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Royal Bank of Canada. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Sri Harsha Dumpala: Innovator in Multi-Modal Artificial Neural Networks
Introduction
Sri Harsha Dumpala is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of artificial intelligence, particularly in the development of multi-modal artificial neural networks. His innovative approach combines various modalities to enhance the learning and processing capabilities of neural networks.
Latest Patents
Sri Harsha Dumpala holds a patent for a "Multi-modal artificial neural network and a self-supervised learning method for training same." This invention involves a sophisticated learning method that processes augmented views of input through simple Siamese networks. The method determines cross-modal losses and total losses to train the networks effectively. The trained network is capable of analyzing multi-modal content, such as video with audio tracks, and can also train a Multi-Modal Multi-Head Network (M3HN) for processing modality-specific and modality-agnostic representations.
Career Highlights
Currently, Sri Harsha Dumpala is employed at the Royal Bank of Canada, where he applies his expertise in artificial intelligence and machine learning. His work focuses on enhancing the bank's technological capabilities through innovative solutions.
Collaborations
Sri Harsha has collaborated with talented individuals such as Pablo Hernandez and Ainaz Hajimoradlou. Their combined efforts contribute to advancing the field of artificial intelligence and neural networks.
Conclusion
Sri Harsha Dumpala is a visionary inventor whose work in multi-modal artificial neural networks is paving the way for future advancements in artificial intelligence. His contributions are not only significant in the realm of technology but also hold the potential to transform various industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
