Company Filing History:
Years Active: 2017-2021
Title: Innovations of Rupesh Kumar Srivastava
Introduction
Rupesh Kumar Srivastava is an accomplished inventor based in Lugano, Switzerland. He has made significant contributions to the field of technology, particularly in neural networks and semantic analysis. With a total of 2 patents, his work reflects a deep understanding of complex computational systems.
Latest Patents
One of his latest patents is titled "Highly trainable neural network configuration." This invention describes a computer-based method that involves receiving an input signal at a neuron within a neural network. The method applies a first non-linear transform to the input signal, producing a plain signal, and calculates a weighted sum of the input signal components. This innovative approach enhances the functionality of neural networks, making them more adaptable and efficient.
Another notable patent is "Discovery of semantic similarities between images and text." This technology focuses on identifying semantic relationships between visual and textual data. It includes methods for performing image searches using textual queries and vice versa. Additionally, it features a caption generator that utilizes a deep multimodal similarity model to determine the relevance of text and images based on their semantic mapping.
Career Highlights
Rupesh has worked with prominent companies such as Microsoft Technology Licensing, LLC and Nnaisense SA. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.
Collaborations
Throughout his career, Rupesh has collaborated with notable professionals, including Jianfeng Gao and Xiaodong He. These partnerships have further enriched his work and expanded the impact of his inventions.
Conclusion
Rupesh Kumar Srivastava is a visionary inventor whose work in neural networks and semantic analysis continues to influence the technology landscape. His patents demonstrate a commitment to innovation and a deep understanding of complex systems.