This inventor holds 1 USPTO granted patent. Top assignee: Machine Learning Works, LLC. Active years: 2018.
Company Filing History:
Years Active: 2018
Title: Sergey Kiyan: Innovator in Neural Network Recognition
Introduction
Sergey Kiyan 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
Sergey Kiyan holds a patent for a groundbreaking invention titled "Neural network based recognition of mathematical expressions." This patent outlines methods and systems for recognizing characters, including mathematical expressions and chemical formulas. The invention involves a series of 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 presented in a computer-readable format or markup language. He has 1 patent to his name.
Career Highlights
Sergey is currently employed at Machine Learning Works, LLC, where he continues to develop innovative solutions in the realm of artificial intelligence and machine learning. His work focuses on enhancing the capabilities of neural networks to interpret complex data formats.
Collaborations
Some of his notable coworkers include Pavel Savchenkov and Evgeny Savinov, who contribute to the collaborative environment at Machine Learning Works, LLC.
Conclusion
Sergey Kiyan's contributions to neural network technology exemplify the innovative spirit of modern inventors. His work not only advances the field of machine learning but also opens new avenues for the recognition of complex mathematical and chemical expressions.