Company Filing History:
Years Active: 2019-2020
Title: Mikhail Aleksandrovich Royzner: Innovator in Weather Forecasting and Prediction Models
Introduction
Mikhail Aleksandrovich Royzner is a prominent inventor based in Moscow, Russia. He has made significant contributions to the fields of weather forecasting and predictive modeling. With a total of 5 patents to his name, Royzner's work showcases his expertise in utilizing machine learning for practical applications.
Latest Patents
One of Royzner's latest patents is a method and system for generating a weather forecast. This innovative approach involves a server-based method that receives current weather measurement parameters and historical averages to create accurate forecasts. The machine learning module plays a crucial role in normalizing these values and training the system for future predictions. Another notable patent focuses on predicting behavior using features derived from statistical information. This training system generates a prediction model that relies on a reduced dimensionality feature space, allowing for more efficient predictions in various online contexts.
Career Highlights
Throughout his career, Royzner has worked with notable companies such as Yandex Europe AG and Microsoft Technology Licensing, LLC. His experience in these organizations has contributed to his development as an inventor and innovator in technology.
Collaborations
Royzner has collaborated with esteemed colleagues, including Victor Grigorievich Lamburt and Igor Igorevich Lifar. These partnerships have further enriched his work and expanded the impact of his inventions.
Conclusion
Mikhail Aleksandrovich Royzner is a distinguished inventor whose contributions to weather forecasting and predictive modeling demonstrate the power of innovation in technology. His patents reflect a commitment to advancing machine learning applications for real-world challenges.