This inventor holds 1 USPTO granted patent. Top assignee: Machine Learning Works, LLC. Active years: 2018.
Company Filing History:
Years Active: 2018
Title: Mikhail Trofimov: Innovator in Neural Network Recognition
Introduction
Mikhail Trofimov is a prominent inventor based in Sochi, Russia. He has made significant contributions to the field of machine learning, particularly in the area of recognizing mathematical expressions through neural networks. His innovative approach has the potential to enhance various applications in education and scientific research.
Latest Patents
Mikhail Trofimov holds 1 patent for his invention titled "Neural network based recognition of mathematical expressions." This patent provides methods and systems for recognizing characters such as mathematical expressions or chemical formulas. The method involves several steps, including receiving and processing an image to obtain candidate regions, extracting features using a convolutional neural network (CNN), and encoding these features into a distributive representation. The process culminates in decoding the representation into output expressions, which can be outputted in a computer-readable format or markup language.
Career Highlights
Mikhail is currently associated with Machine Learning Works, LLC, where he applies his expertise in machine learning and neural networks. His work focuses on developing advanced algorithms that can interpret complex mathematical and chemical notations, making them more accessible for various applications.
Collaborations
Mikhail collaborates with talented individuals in his field, including Pavel Savchenkov and Evgeny Savinov. Their combined efforts contribute to the advancement of machine learning technologies and their practical applications.
Conclusion
Mikhail Trofimov's innovative work in neural network recognition showcases his dedication to advancing technology in the field of mathematics and science. His contributions are paving the way for future developments in machine learning applications.