Miriam Farber

Title: Miriam Farber: Innovating User Recognition Technology

Introduction

Miriam Farber is a talented inventor based in Haifa, Israel, known for her contributions to advanced machine learning systems with a focus on user recognition technologies. With a total of five patents to her name, she continues to push the boundaries of innovation at Amazon Technologies, Inc.

Latest Patents

Miriam has made significant strides in the field with her latest patents, which include:

1. **System for training of recognition system using ad hoc training data**: This patent describes a machine learning system that identifies users through training data derived from synthetic and actual multimodal images of hands. Utilizing triplets of images—comprising anchor, positive, and negative samples—the system employs a pairwise label-based loss function to improve training efficiency. This innovative approach reduces memory usage and accommodates ongoing training as new triplets become available.

2. **System for determining embedding from multiple inputs**: This invention focuses on a scanner that captures various images of a user's hand under different conditions. A first neural network processes these images to produce a spatial mask and feature map, which are combined to generate aggregate data. This data is then transformed into an embedding vector by a second neural network, enabling effective user identification through comparisons with stored vectors.

Career Highlights

Miriam's career at Amazon Technologies, Inc. has been marked by her dedication to developing pioneering technologies for user identification. Her work in creating efficient training systems for machine learning models showcases her expertise and innovative mindset in this rapidly evolving field.

Collaborations

Throughout her career, Miriam has collaborated with notable colleagues, including Gerard Guy Medioni and Manoj Aggarwal. These partnerships have further enriched her work, leading to breakthroughs in user recognition technology and reinforcing her reputation as a leading inventor.

Conclusion

Miriam Farber's innovative contributions to machine learning and user recognition highlight her as a prominent figure in the field. With a robust portfolio of patents and a collaborative spirit, she continues to pave the way for advancements that enhance technological interaction and identification processes. Her work at Amazon Technologies, Inc. reflects a commitment to excellence and innovation, ensuring her impact will be felt for years to come.