This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Iqvia Inc.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Nicola Lazzarini: Innovator in Machine Learning Technology
Introduction
Nicola Lazzarini is a prominent inventor based in London, GB. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of data processing in machine learning applications.
Latest Patents
Lazzarini holds a patent for a "High-speed scanning parser for scalable collection of statistics and use in preparing data for machine learning." This invention involves a parser that is deployed early in the machine learning pipeline to read raw data and collect useful statistics about the content. The parser operates at high speeds, approaching the disk's absolute throughput while maintaining a small memory footprint. By utilizing this parser, the machine learning pipeline can process a fraction of the total raw data, allowing for the identification of feature importance and the discarding of irrelevant features. This innovation significantly reduces memory usage and expedites the machine learning process.
Career Highlights
Nicola Lazzarini is currently employed at Iqvia Inc., where he continues to develop cutting-edge technologies in the field of data science and machine learning. His expertise in creating efficient data processing tools has positioned him as a valuable asset in his organization.
Collaborations
Lazzarini collaborates with talented professionals, including Gwyn Rhys Jones and Charikleia Eleftherochorinou, who contribute to the advancement of their projects and innovations.
Conclusion
Nicola Lazzarini's contributions to machine learning through his innovative patent demonstrate his commitment to improving data processing efficiency. His work continues to influence the field and pave the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
