This inventor holds 2 USPTO granted patents. Top assignee: Abbyy Production LLC. Active years: 2020-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020-2021
Title: Daniil Garryevich Anastasiev: Innovator in Machine Learning
Introduction
Daniil Garryevich Anastasiev is a prominent inventor based in Moscow, Russia. He has made significant contributions to the field of machine learning, particularly in predicting the probability of occurrence of strings using sequences of vectors. With a total of 2 patents, his work showcases innovative approaches to data processing and analysis.
Latest Patents
Anastasiev's latest patents focus on systems and methods for predicting the probability of occurrence of a string. The first patent describes a process where a sequence of vectors is generated based on the maximum length of words for each symbol in the string. This sequence is then provided to a machine learning unit, which calculates the probability of occurrence of the string. The second patent expands on this concept by receiving multiple strings, generating a first sequence of vectors for each string, and obtaining the probability of occurrence for each string from the machine learning unit.
Career Highlights
Daniil Anastasiev is currently employed at Abbyy Production LLC, a company known for its advancements in artificial intelligence and document processing technologies. His work at Abbyy has allowed him to apply his innovative ideas in a practical setting, contributing to the company's reputation as a leader in the industry.
Collaborations
Anastasiev collaborates with Evgenii Mikhaylovich Indenbom, a fellow innovator in the field. Their partnership enhances the development of cutting-edge technologies and fosters a creative environment for innovation.
Conclusion
Daniil Garryevich Anastasiev is a notable inventor whose work in machine learning has the potential to transform data analysis. His patents reflect a deep understanding of technology and innovation, positioning him as a key figure in his field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
