This inventor holds 1 USPTO granted patent. Top assignee: Machine Learning Works, LLC. Active years: 2018.
Company Filing History:
Years Active: 2018
Title: Evgeny Savinov: Innovator in Neural Network Recognition
Introduction
Evgeny Savinov is a notable inventor based in Sochi, Russia. He has made significant contributions to the field of machine learning, particularly in the recognition of mathematical expressions through neural networks. His innovative approach has the potential to enhance various applications in computational mathematics and related fields.
Latest Patents
Evgeny holds 1 patent for his invention titled "Neural network based recognition of mathematical expressions." This patent provides methods and systems for recognizing characters, including mathematical expressions and chemical formulas. The method involves several steps, including receiving and processing an image, 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
Evgeny Savinov 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 improve the accuracy and efficiency of mathematical expression recognition.
Collaborations
Evgeny collaborates with talented individuals in his field, including Pavel Savchenkov and Mikhail Trofimov. Their combined efforts contribute to the advancement of machine learning technologies and innovative solutions.
Conclusion
Evgeny Savinov's work in neural network-based recognition of mathematical expressions showcases his innovative spirit and dedication to advancing technology. His contributions are paving the way for future developments in machine learning and computational recognition.