Nikoletta Basiou

Title: The Innovative Mind of Nikoletta Basiou

Introduction

Nikoletta Basiou is a prominent inventor based in Palo Alto, CA. She has made significant contributions to the field of machine learning, particularly in the area of few-shot learning. Her innovative approach has garnered attention in the tech community, showcasing her expertise and creativity.

Latest Patents

Nikoletta holds a patent titled "Modular adaptation for cross-domain few-shot learning." This patent describes a method, apparatus, and system for adapting a pre-trained network for application to a different dataset. The invention involves arranging at least two different types of active adaptation modules in a pipeline configuration. The output of a previous active adaptation module serves as the input for the next module, producing adapted network data until the last module is reached. Each adaptation module can be switched on or off, allowing for the determination of respective hyperparameters for effective data processing. This innovative method enhances the adaptability of networks to various datasets.

Career Highlights

Nikoletta is currently employed at SRI International, where she continues to push the boundaries of technology and innovation. Her work at SRI International has allowed her to collaborate with other talented individuals in the field, further enhancing her contributions to machine learning.

Collaborations

Some of her notable coworkers include Xiao Lin and Meng Ye. Their collaborative efforts have contributed to the advancement of research and development in their respective areas of expertise.

Conclusion

Nikoletta Basiou is a trailblazer in the field of machine learning, with her patent and work at SRI International reflecting her innovative spirit. Her contributions are paving the way for future advancements in technology.