This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 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: 2026
Title: Linxi Fan: Innovator in Vision-Language Models
Introduction
Linxi Fan is a prominent inventor based in Santa Clara, CA (US). He is known for his contributions to the field of artificial intelligence, particularly in the development of vision-language models. His innovative approach has led to significant advancements in multi-modal learning.
Latest Patents
Linxi Fan holds a patent for a vision-language model with an ensemble of experts. This model learns skills and domain knowledge through distinct and separate task-specific neural networks, referred to as experts. Each expert is independently optimized for a specific task, allowing for the use of domain-specific data and architectures that are not feasible with a single large neural network trained for multiple tasks. The vision-language model, implemented as an ensemble of pre-trained experts, is more efficiently trained compared to a single large neural network. During training, the model integrates specialized skills and domain knowledge, resulting in effective multi-modal learning.
Career Highlights
Linxi Fan is currently employed at Nvidia Corporation, where he continues to push the boundaries of AI technology. His work has garnered attention for its innovative approach and practical applications in various fields.
Collaborations
Linxi has collaborated with notable colleagues, including Animashree Anandkumar and Zhiding Yu. Their combined expertise contributes to the advancement of AI research and development.
Conclusion
Linxi Fan's work in vision-language models exemplifies the innovative spirit of modern inventors. His contributions are paving the way for more efficient and effective AI systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
