Company Filing History:
6 out of 335 
1 out of 4 
1 out of 131,906 
Years Active: 2020-2023
Title: Ekaterina Maksimovna Lobacheva: Innovator in Neural Networks and Cybersecurity
Introduction
Ekaterina Maksimovna Lobacheva is a prominent inventor based in Moscow, Russia. She has made significant contributions to the fields of neural networks and cybersecurity, holding a total of eight patents. Her innovative work focuses on enhancing the efficiency and security of electronic systems.
Latest Patents
One of her latest patents is titled "Electronic apparatus for compressing recurrent neural network and method thereof." This invention provides an electronic apparatus and method that utilize a sparsification technique for recurrent neural networks. It involves obtaining first to third multiplicative variables to learn the recurrent neural network and performing sparsification to compress it effectively. Another notable patent is the "System and method of allocating computer resources for detection of malicious files." This system comprises a hardware processor that forms behavior pattern groupings of selected commands, applies a hash function, and calculates a degree of harmfulness to allocate computing resources based on the calculated degree.
Career Highlights
Ekaterina has worked with notable companies, including Kaspersky Lab, where she contributed to advancements in cybersecurity technologies. Her experience in these organizations has allowed her to develop innovative solutions that address pressing challenges in the tech industry.
Collaborations
She has collaborated with esteemed colleagues such as Alexey M Romanenko and Alexander S Chistyakov, further enhancing her contributions to the field.
Conclusion
Ekaterina Maksimovna Lobacheva is a trailblazer in the realms of neural networks and cybersecurity. Her patents reflect her commitment to innovation and her ability to tackle complex technological challenges. Her work continues to influence the industry and inspire future advancements.