This inventor holds 4 USPTO granted patents and 5 published patent applications. Top assignee: Smart Engines Service LLC. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Innovator Spotlight: Elena Evgenyevna Limonova
Introduction:
Elena Evgenyevna Limonova is a prominent inventor based in Moscow, Russia. With a keen focus on advanced neural network technology, she has made significant contributions to the field of artificial intelligence through her innovative inventions.
Latest Patents:
Elena holds a patent for "Bipolar Morphological Neural Networks." This invention involves generating a bipolar morphological neural network by converting an initial neural network. The conversion process includes replacing multiplication calculations in one or more convolutional layers with approximations that utilize maximum/minimum and/or addition/subtraction operations. This approach allows for the remaining part of the network to be trained after each convolutional layer is converted, showcasing a novel method in neural network architecture.
Career Highlights:
Currently, Elena is associated with Smart Engines Service LLC, where she continues her research and development in the field of neural networks. Her work is characterized by its innovative approach, aiming to improve neural networks' efficiency and effectiveness in various applications.
Collaborations:
Throughout her career, Elena has collaborated with esteemed colleagues such as Dmitry Petrovich Nikolaev and Vladimir Viktorovich Arlazarov. These collaborations have fostered a dynamic environment for creativity and innovation, allowing for the exchange of ideas and techniques that advance their collective work in artificial intelligence.
Conclusion:
Elena Evgenyevna Limonova exemplifies the spirit of innovation in the tech industry, particularly in the realm of neural networks. With her groundbreaking patent and collaborative efforts, she continues to push the boundaries of what is possible in artificial intelligence, making a significant impact in her field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile