This inventor holds 5 USPTO granted patents and 3 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Bo Song: Innovator in Artificial Intelligence and Machine Learning
Introduction
Bo Song is a prominent inventor based in Xian, China, known for his contributions to the fields of artificial intelligence and machine learning. With a total of two patents to his name, he has made significant strides in developing efficient methods and systems that enhance the performance of AI models.
Latest Patents
Bo Song's latest patents include "Efficient serverless method and system of serving artificial intelligence models" and "Compatible and secure software upgrades." The first patent outlines a method for forecasting server demand by collecting historical data on scoring requests within a serverless architecture. It involves determining the capacity of servers based on past requests and predicting future demand to ensure that sufficient server resources are available. The second patent focuses on techniques for managing machine learning libraries, including generating recommendations for upgrades based on security and compatibility indications.
Career Highlights
Bo Song is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in AI and machine learning. His work has contributed to the advancement of technologies that support efficient and secure machine learning applications.
Collaborations
Some of Bo Song's notable coworkers include Dong Hai Yu and Yao Dong Liu, who collaborate with him on various projects within the company.
Conclusion
Bo Song's innovative work in artificial intelligence and machine learning continues to impact the industry positively. His patents reflect a commitment to enhancing technology through efficient and secure methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
